An optimized bidirectional vision transformer based colorectal cancer detection using histopathological images - Raman Choudhary; Akshay Deepak; Gopalakrishnan Krishnasamy; Vikash Kumar (Biomed. Signal Process. Control., 2025)

Policy Architectures for Compositional Generalization in Control - Allan Zhou; Vikash Kumar; Chelsea Finn; Aravind Rajeswaran (RLJ, 2024)

Utilizing Machine Learning Techniques for Worst-Case Execution Time Estimation on GPU Architectures - Vikash Kumar; Behnaz Ranjbar; Akash Kumar (IEEE Access, 2024)

ESOMICS: ML-Based Timing Behavior Analysis for Efficient Mixed-Criticality System Design - Vikash Kumar; Behnaz Ranjbar; Akash Kumar (IEEE Access, 2024)

SAR: generalization of physiological agility and dexterity via synergistic action representation - Cameron Berg; Vittorio Caggiano; Vikash Kumar (Auton. Robots, 2024)

Human heart health prediction using GAIT parameters and machine learning model - Pawan Singh; Prabhat Singh Kourav; Shaurya Mohapatra; Vikash Kumar; Subrata Kumar Panda (Biomed. Signal Process. Control., 2024)

Robust Q-learning-based multi-objective sheep flock optimizer with a Cauchy operator for effective path planning in unmanned aerial vehicles - Vikash Kumar; Seemanti Saha (Int. J. Commun. Syst., 2024)

CrossPredGO: A Novel Light-Weight Cross-Modal Multi-Attention Framework for Protein Function Prediction - Vikash Kumar; Akshay Deepak; Ashish Ranjan; Aravind Prakash (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Bi-SeqCNN: A Novel Light-Weight Bi-Directional CNN Architecture for Protein Function Prediction - Vikash Kumar; Akshay Deepak; Ashish Ranjan; Aravind Prakash (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Motivating the Use of Machine-Learning for Improving Timing Behaviour of Embedded Mixed-Criticality Systems - Vikash Kumar; Behnaz Ranjbar; Akash Kumar (Design, Automation & Test in Europe Conference & Exhibition, DATE 2024, Valencia, Spain, March 25-27, 2024, 2024)

TorchRL: A data-driven decision-making library for PyTorch - Albert Bou; Matteo Bettini; Sebastian Dittert; Vikash Kumar; Shagun Sodhani; Xiaomeng Yang; Gianni De Fabritiis; Vincent Moens (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking - Homanga Bharadhwaj; Jay Vakil; Mohit Sharma; Abhinav Gupta; Shubham Tulsiani; Vikash Kumar (IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024, 2024)

Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans - Homanga Bharadhwaj; Abhinav Gupta; Vikash Kumar; Shubham Tulsiani (IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024, 2024)

MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation - Patrick Lancaster; Nicklas Hansen; Aravind Rajeswaran; Vikash Kumar (IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024, 2024)

Multi-colour frequency combs in the Kerr microresonators - Haizhong Weng; Vikash Kumar; Huilan Tu; Qiaoyin Lu; Weihua Guo; Dmitry Skryabin; John F. Donegan (24th International Conference on Transparent Optical Networks, ICTON 2024, Bari, Italy, July 14-18, 2024, 2024)

Improving Domain Adaptation Through Class Aware Frequency Transformation - Vikash Kumar; Himanshu Patil; Rohit Lal; Anirban Chakraborty (CoRR, 2024)

Semantically Controllable Augmentations for Generalizable Robot Learning - Zoey Qiuyu Chen; Zhao Mandi; Homanga Bharadhwaj; Mohit Sharma; Shuran Song; Abhishek Gupta; Vikash Kumar (CoRR, 2024)

Computational insight into structural basis of human ELOVL1 inhibition - Arif Jamal Siddiqui; Vikash Kumar; Sadaf Jahan; Mohammed Merae Alshahrani; Ahmed Abdullah Al Awadh; Maqsood Ahmed Siddiqui; Walid Sabri Hamadou; Abdelmushin Abdelgadir; Juhi Saxena; Riadh Badraoui; Mejdi Snoussi; Mohd Adnan (Comput. Biol. Medicine, 2023)

Synthetic attack data generation model applying generative adversarial network for intrusion detection - Vikash Kumar; Ditipriya Sinha (Comput. Secur., 2023)

WCGAN-GP based synthetic attack data generation with GA based feature selection for IDS - Arpita Srivastava; Ditipriya Sinha; Vikash Kumar (Comput. Secur., 2023)

Improving Domain Adaptation Through Class Aware Frequency Transformation - Vikash Kumar; Himanshu Patil; Rohit Lal; Anirban Chakraborty (Int. J. Comput. Vis., 2023)

All the Feels: A Dexterous Hand With Large-Area Tactile Sensing - Raunaq M. Bhirangi; Abigail DeFranco; Jacob Adkins; Carmel Majidi; Abhinav Gupta; Tess Lee Hellebrekers; Vikash Kumar (IEEE Robotics Autom. Lett., 2023)

Visual dexterity: In-hand reorientation of novel and complex object shapes - Tao Chen; Megha Tippur; Siyang Wu; Vikash Kumar; Edward H. Adelson; Pulkit Agrawal (Sci. Robotics, 2023)

Lite-SeqCNN: A Light-Weight Deep CNN Architecture for Protein Function Prediction - Vikash Kumar; Akshay Deepak; Ashish Ranjan; Aravind Prakash (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation - Zheyuan Hu; Aaron Rovinsky; Jianlan Luo; Vikash Kumar; Abhishek Gupta; Sergey Levine (Conference on Robot Learning, CoRL 2023, 6-9 November 2023, Atlanta, GA, USA, 2023)

MIPI 2023 Challenge on RGB+ToF Depth Completion: Methods and Results - Qingpeng Zhu; Wenxiu Sun; Yuekun Dai; Chongyi Li; Shangchen Zhou; Ruicheng Feng; Qianhui Sun; Chen Change Loy; Jinwei Gu; Yi Yu; Yangke Huang; Kang Zhang; et al. (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023 - Workshops, Vancouver, BC, Canada, June 17-24, 2023, 2023)

A Sequence-Motif Based Approach to Protein Function Prediction via Deep-CNN Architecture - Vikash Kumar; Ashish Ranjan; Deng Cao; Gopalakrishnan Krishnasamy; Akshay Deepak (Proceedings of the 15th International Conference on Agents and Artificial Intelligence, ICAART 2023, Volume 3, Lisbon, Portugal, February 22-24, 2023, 2023)

MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations - Nicklas Hansen; Yixin Lin; Hao Su; Xiaolong Wang; Vikash Kumar; Aravind Rajeswaran (The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 2023)

VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training - Yecheng Jason Ma; Shagun Sodhani; Dinesh Jayaraman; Osbert Bastani; Vikash Kumar; Amy Zhang (The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 2023)

MyoDex: A Generalizable Prior for Dexterous Manipulation - Vittorio Caggiano; Sudeep Dasari; Vikash Kumar (International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 2023)

LIV: Language-Image Representations and Rewards for Robotic Control - Yecheng Jason Ma; Vikash Kumar; Amy Zhang; Osbert Bastani; Dinesh Jayaraman (International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 2023)

Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps - Sudeep Dasari; Abhinav Gupta; Vikash Kumar (IEEE International Conference on Robotics and Automation, ICRA 2023, London, UK, May 29 - June 2, 2023, 2023)

Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance - Kelvin Xu; Zheyuan Hu; Ria Doshi; Aaron Rovinsky; Vikash Kumar; Abhishek Gupta; Sergey Levine (IEEE International Conference on Robotics and Automation, ICRA 2023, London, UK, May 29 - June 2, 2023, 2023)

Real World Offline Reinforcement Learning with Realistic Data Source - Gaoyue Zhou; Liyiming Ke; Siddhartha S. Srinivasa; Abhinav Gupta; Aravind Rajeswaran; Vikash Kumar (IEEE International Conference on Robotics and Automation, ICRA 2023, London, UK, May 29 - June 2, 2023, 2023)

RoboHive: A Unified Framework for Robot Learning - Vikash Kumar; Rutav M. Shah; Gaoyue Zhou; Vincent Moens; Vittorio Caggiano; Abhishek Gupta; Aravind Rajeswaran (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

SAR: Generalization of Physiological Dexterity via Synergistic Action Representation - Cameron H. Berg; Vittorio Caggiano; Vikash Kumar (Robotics: Science and Systems XIX, Daegu, Republic of Korea, July 10-14, 2023, 2023)

GenAug: Retargeting behaviors to unseen situations via Generative Augmentation - Zoey Qiuyu Chen; Shosuke C. Kiami; Abhishek Gupta; Vikash Kumar (Robotics: Science and Systems XIX, Daegu, Republic of Korea, July 10-14, 2023, 2023)

Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware - Tony Z. Zhao; Vikash Kumar; Sergey Levine; Chelsea Finn (Robotics: Science and Systems XIX, Daegu, Republic of Korea, July 10-14, 2023, 2023)

CoNMix for Source-free Single and Multi-target Domain Adaptation - Vikash Kumar; Rohit Lal; Himanshu Patil; Anirban Chakraborty (IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2023, Waikoloa, HI, USA, January 2-7, 2023, 2023)

Zero-Shot Robot Manipulation from Passive Human Videos - Homanga Bharadhwaj; Abhinav Gupta; Shubham Tulsiani; Vikash Kumar (CoRR, 2023)

GenAug: Retargeting behaviors to unseen situations via Generative Augmentation - Zoey Qiuyu Chen; Sho Kiami; Abhishek Gupta; Vikash Kumar (CoRR, 2023)

Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware - Tony Z. Zhao; Vikash Kumar; Sergey Levine; Chelsea Finn (CoRR, 2023)

MIPI 2023 Challenge on RGB+ToF Depth Completion: Methods and Results - Qingpeng Zhu; Wenxiu Sun; Yuekun Dai; Chongyi Li; Shangchen Zhou; Ruicheng Feng; Qianhui Sun; Chen Change Loy; Jinwei Gu; Yi Yu; Yangke Huang; Kang Zhang; et al. (CoRR, 2023)

TorchRL: A data-driven decision-making library for PyTorch - Albert Bou; Matteo Bettini; Sebastian Dittert; Vikash Kumar; Shagun Sodhani; Xiaomeng Yang; Gianni De Fabritiis; Vincent Moens (CoRR, 2023)

LIV: Language-Image Representations and Rewards for Robotic Control - Yecheng Jason Ma; William Liang; Vaidehi Som; Vikash Kumar; Amy Zhang; Osbert Bastani; Dinesh Jayaraman (CoRR, 2023)

SAR: Generalization of Physiological Agility and Dexterity via Synergistic Action Representation - Cameron Berg; Vittorio Caggiano; Vikash Kumar (CoRR, 2023)

Integrated Approach of Gearbox Fault Diagnosis - Vikash Kumar; Subrata Mukherjee; Somnath Sarangi (CoRR, 2023)

Modified Lagrangian Formulation of Gear Tooth Crack Analysis using Combined Approach of Variable Mode Decomposition (VMD) and Time Synchronous Averaging (TSA) - Subrata Mukherjee; Vikash Kumar; Somnath Sarangi (CoRR, 2023)

RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking - Homanga Bharadhwaj; Jay Vakil; Mohit Sharma; Abhinav Gupta; Shubham Tulsiani; Vikash Kumar (CoRR, 2023)

Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models - Pierre Schumacher; Thomas Geijtenbeek; Vittorio Caggiano; Vikash Kumar; Syn Schmitt; Georg Martius; Daniel F. B. Haeufle (CoRR, 2023)

MyoDex: A Generalizable Prior for Dexterous Manipulation - Vittorio Caggiano; Sudeep Dasari; Vikash Kumar (CoRR, 2023)

REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation - Zheyuan Hu; Aaron Rovinsky; Jianlan Luo; Vikash Kumar; Abhishek Gupta; Sergey Levine (CoRR, 2023)

MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation - Patrick Lancaster; Nicklas Hansen; Aravind Rajeswaran; Vikash Kumar (CoRR, 2023)

RoboHive: A Unified Framework for Robot Learning - Vikash Kumar; Rutav M. Shah; Gaoyue Zhou; Vincent Moens; Vittorio Caggiano; Jay Vakil; Abhishek Gupta; Aravind Rajeswaran (CoRR, 2023)

Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans - Homanga Bharadhwaj; Abhinav Gupta; Vikash Kumar; Shubham Tulsiani (CoRR, 2023)

Computational insights into differential interaction of mammalian angiotensin-converting enzyme 2 with the SARS-CoV-2 spike receptor binding domain - Cecylia S. Lupala; Vikash Kumar; Xiao-dong Su; Chun Wu; Haiguang Liu (Comput. Biol. Medicine, 2022)

Hybrid Approach Using Deep Autoencoder and Machine Learning Techniques for Cyber-Attack Detection - Vikash Kumar; Ditipriya Sinha (Int. J. Ambient Comput. Intell., 2022)

An AI-Based Nonparametric Filter Approach for Gearbox Fault Diagnosis - Vikash Kumar; Subrata Mukherjee; Alok Kumar Verma; Somnath Sarangi (IEEE Trans. Instrum. Meas., 2022)

Estimation of an Early WCET Using Different Machine Learning Approaches - Vikash Kumar (Advances on P2P, Parallel, Grid, Cloud and Internet Computing - Proceedings of the 17th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2022), Tirana, Albania, 27-29 October 2022, 2022)

Cross-Domain Transfer via Semantic Skill Imitation - Karl Pertsch; Ruta Desai; Vikash Kumar; Franziska Meier; Joseph J. Lim; Dhruv Batra; Akshara Rai (Conference on Robot Learning, CoRL 2022, 14-18 December 2022, Auckland, New Zealand, 2022)

R3M: A Universal Visual Representation for Robot Manipulation - Suraj Nair; Aravind Rajeswaran; Vikash Kumar; Chelsea Finn; Abhinav Gupta (Conference on Robot Learning, CoRL 2022, 14-18 December 2022, Auckland, New Zealand, 2022)

RNCE: A New Image Segmentation Approach - Vikash Kumar; Asfak Ali; Sheli Sinha Chaudhuri (Computer Vision and Machine Intelligence - Proceedings of CVMI 2022, IIIT Allahabad, India, August 2022, 2022)

Data-Aware Cache Management for Graph Analytics - Neelam Sharma; Varun Venkitaraman; Newton; Vikash Kumar; Shubham Singhania; Chandan Kumar Jha (2022 Design, Automation & Test in Europe Conference & Exhibition, DATE 2022, Antwerp, Belgium, March 14-23, 2022, 2022)

An integrated approach of Genetic Algorithm and Machine Learning for generation of Worst-Case Data for Real-Time Systems - Vikash Kumar (26th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2022, Alès, France, September 26-28, 2022, 2022)

Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots - Tanmay Shankar; Yixin Lin; Aravind Rajeswaran; Vikash Kumar; Stuart Anderson; Jean Oh (International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, 2022)

MyoSim: Fast and physiologically realistic MuJoCo models for musculoskeletal and exoskeletal studies - Huawei Wang; Vittorio Caggiano; Guillaume Durandau; Massimo Sartori; Vikash Kumar (2022 International Conference on Robotics and Automation, ICRA 2022, Philadelphia, PA, USA, May 23-27, 2022, 2022)

MyoSuite: A Contact-rich Simulation Suite for Musculoskeletal Motor Control - Vittorio Caggiano; Huawei Wang; Guillaume Durandau; Massimo Sartori; Vikash Kumar (Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA, 2022)

Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation? - Yuchen Cui; Scott Niekum; Abhinav Gupta; Vikash Kumar; Aravind Rajeswaran (Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA, 2022)

Policy Architectures for Compositional Generalization in Control - Allan Zhou; Vikash Kumar; Chelsea Finn; Aravind Rajeswaran (CoRR, 2022)

RB2: Robotic Manipulation Benchmarking with a Twist - Sudeep Dasari; Jianren Wang; Joyce Hong; Shikhar Bahl; Yixin Lin; Austin S. Wang; Abitha Thankaraj; Karanbir Chahal; Berk Çalli; Saurabh Gupta; David Held; Lerrel Pinto; et al. (CoRR, 2022)

R3M: A Universal Visual Representation for Robot Manipulation - Suraj Nair; Aravind Rajeswaran; Vikash Kumar; Chelsea Finn; Abhinav Gupta (CoRR, 2022)

Curiosity Driven Self-supervised Tactile Exploration of Unknown Objects - Yujie Lu; Jianren Wang; Vikash Kumar (CoRR, 2022)

Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation? - Yuchen Cui; Scott Niekum; Abhinav Gupta; Vikash Kumar; Aravind Rajeswaran (CoRR, 2022)

MyoSuite - A contact-rich simulation suite for musculoskeletal motor control - Vittorio Caggiano; Huawei Wang; Guillaume Durandau; Massimo Sartori; Vikash Kumar (CoRR, 2022)

Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps - Sudeep Dasari; Abhinav Gupta; Vikash Kumar (CoRR, 2022)

VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training - Yecheng Jason Ma; Shagun Sodhani; Dinesh Jayaraman; Osbert Bastani; Vikash Kumar; Amy Zhang (CoRR, 2022)

Real World Offline Reinforcement Learning with Realistic Data Source - Gaoyue Zhou; Liyiming Ke; Siddhartha S. Srinivasa; Abhinav Gupta; Aravind Rajeswaran; Vikash Kumar (CoRR, 2022)

All the Feels: A dexterous hand with large area sensing - Raunaq M. Bhirangi; Abigail DeFranco; Jacob Adkins; Carmel Majidi; Abhinav Gupta; Tess Lee Hellebrekers; Vikash Kumar (CoRR, 2022)

CoNMix for Source-free Single and Multi-target Domain Adaptation - Vikash Kumar; Rohit Lal; Himanshu Patil; Anirban Chakraborty (CoRR, 2022)

Visual Dexterity: In-hand Dexterous Manipulation from Depth - Tao Chen; Megha Tippur; Siyang Wu; Vikash Kumar; Edward H. Adelson; Pulkit Agrawal (CoRR, 2022)

MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations - Nicklas Hansen; Yixin Lin; Hao Su; Xiaolong Wang; Vikash Kumar; Aravind Rajeswaran (CoRR, 2022)

CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning - Zhao Mandi; Homanga Bharadhwaj; Vincent Moens; Shuran Song; Aravind Rajeswaran; Vikash Kumar (CoRR, 2022)

Cross-Domain Transfer via Semantic Skill Imitation - Karl Pertsch; Ruta Desai; Vikash Kumar; Franziska Meier; Joseph J. Lim; Dhruv Batra; Akshara Rai (CoRR, 2022)

Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance - Kelvin Xu; Zheyuan Hu; Ria Doshi; Aaron Rovinsky; Vikash Kumar; Abhishek Gupta; Sergey Levine (CoRR, 2022)

Drug repurposing against SARS-CoV-2 receptor binding domain using ensemble-based virtual screening and molecular dynamics simulations - Vikash Kumar; Haiguang Liu; Chun Wu (Comput. Biol. Medicine, 2021)

UIDS: a unified intrusion detection system for IoT environment - Vikash Kumar; Ayan Kumar Das; Ditipriya Sinha (Evol. Intell., 2021)

CAFT: Class Aware Frequency Transform for Reducing Domain Gap - Vikash Kumar; Sarthak Srivastava; Rohit Lal; Anirban Chakraborty (IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021, Montreal, QC, Canada, October 11-17, 2021, 2021)

RRL: Resnet as representation for Reinforcement Learning - Rutav M. Shah; Vikash Kumar (Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event, 2021)

Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention - Abhishek Gupta; Justin Yu; Tony Z. Zhao; Vikash Kumar; Aaron Rovinsky; Kelvin Xu; Thomas Devlin; Sergey Levine (IEEE International Conference on Robotics and Automation, ICRA 2021, Xi'an, China, May 30 - June 5, 2021, 2021)

MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand - Vittorio Caggiano; Guillaume Durandau; Huawei Wang; Alberto Silvio Chiappa; Alexander Mathis; Pablo Tano; Nisheet Patel; Alexandre Pouget; Pierre Schumacher; Georg Martius; Daniel F. B. Haeufle; Yiran Geng; et al. (NeurIPS 2022 Competition Track, November 28 - December 9, 2022, Online, 2021)

RB2: Robotic Manipulation Benchmarking with a Twist - Sudeep Dasari; Jianren Wang; Joyce Hong; Shikhar Bahl; Yixin Lin; Austin S. Wang; Abitha Thankaraj; Karanbir Chahal; Berk Çalli; Saurabh Gupta; David Held; Lerrel Pinto; et al. (Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December 2021, virtual, 2021)

Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention - Abhishek Gupta; Justin Yu; Tony Z. Zhao; Vikash Kumar; Aaron Rovinsky; Kelvin Xu; Thomas Devlin; Sergey Levine (CoRR, 2021)

RRL: Resnet as representation for Reinforcement Learning - Rutav M. Shah; Vikash Kumar (CoRR, 2021)

Deep Neural Network Approach to Estimate Early Worst-Case Execution Time - Vikash Kumar (CoRR, 2021)

An integrated rule based intrusion detection system: analysis on UNSW-NB15 data set and the real time online dataset - Vikash Kumar; Ditipriya Sinha; Ayan Kumar Das; Subhash Chandra Pandey; Radha Tamal Goswami (Clust. Comput., 2020)

Computational Design of Biologically Active Anticancer Peptides and Their Interactions with Heterogeneous POPC/POPS Lipid Membranes - Maninder Singh; Vikash Kumar; Kamakshi Sikka; Ravi Thakur; Munesh Kumar Harioudh; Durga Prasad Mishra; Jimut Kanti Ghosh; Mohammad Imran Siddiqi (J. Chem. Inf. Model., 2020)

GDP Release from the Open Conformation of G\(α\) Requires Allosteric Signaling from the Agonist-Bound Human \(β\)2 Adrenergic Receptor - Vikash Kumar; Hannah Hoag; Safaa Sader; Nicolas Scorese; Haiguang Liu; Chun Wu (J. Chem. Inf. Model., 2020)

Benchmarking In-Hand Manipulation - Silvia Cruciani; Balakumar Sundaralingam; Kaiyu Hang; Vikash Kumar; Tucker Hermans; Danica Kragic (IEEE Robotics Autom. Lett., 2020)

Effects of convergent-divergent vortex finders on the performance of cyclone separators using computational fluid dynamics simulations - Vikash Kumar; Kailash Jha (Simul., 2020)

Cyber Attack Detection Framework for Cloud Computing - Suryakant Badde; Vikash Kumar; Kakali Chatterjee; Ditipriya Sinha (Intelligent Data Engineering and Analytics - Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020), Volume 2, Karnataka, Surathkal, India, January 4-5, 2020, 2020)

Dynamics-Aware Unsupervised Discovery of Skills - Archit Sharma; Shixiang Gu; Sergey Levine; Vikash Kumar; Karol Hausman (8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020, 2020)

The Ingredients of Real World Robotic Reinforcement Learning - Henry Zhu; Justin Yu; Abhishek Gupta; Dhruv Shah; Kristian Hartikainen; Avi Singh; Vikash Kumar; Sergey Levine (8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020, 2020)

A Game Theoretic Framework for Model Based Reinforcement Learning - Aravind Rajeswaran; Igor Mordatch; Vikash Kumar (Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event, 2020)

TRASS: Time Reversal as Self-Supervision - Suraj Nair; Mohammad Babaeizadeh; Chelsea Finn; Sergey Levine; Vikash Kumar (2020 IEEE International Conference on Robotics and Automation, ICRA 2020, Paris, France, May 31 - August 31, 2020, 2020)

Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning - Archit Sharma; Michael Ahn; Sergey Levine; Vikash Kumar; Karol Hausman; Shixiang Gu (Robotics: Science and Systems XVI, Virtual Event / Corvalis, Oregon, USA, July 12-16, 2020, 2020)

Benchmarking In-Hand Manipulation - Silvia Cruciani; Balakumar Sundaralingam; Kaiyu Hang; Vikash Kumar; Tucker Hermans; Danica Kragic (CoRR, 2020)

A Game Theoretic Framework for Model Based Reinforcement Learning - Aravind Rajeswaran; Igor Mordatch; Vikash Kumar (CoRR, 2020)

The Ingredients of Real-World Robotic Reinforcement Learning - Henry Zhu; Justin Yu; Abhishek Gupta; Dhruv Shah; Kristian Hartikainen; Avi Singh; Vikash Kumar; Sergey Levine (CoRR, 2020)

Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning - Archit Sharma; Michael Ahn; Sergey Levine; Vikash Kumar; Karol Hausman; Shixiang Gu (CoRR, 2020)

Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real - Ofir Nachum; Michael Ahn; Hugo Ponte; Shixiang Shane Gu; Vikash Kumar (3rd Annual Conference on Robot Learning, CoRL 2019, Osaka, Japan, October 30 - November 1, 2019, Proceedings, 2019)

Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning - Abhishek Gupta; Vikash Kumar; Corey Lynch; Sergey Levine; Karol Hausman (3rd Annual Conference on Robot Learning, CoRL 2019, Osaka, Japan, October 30 - November 1, 2019, Proceedings, 2019)

Deep Dynamics Models for Learning Dexterous Manipulation - Anusha Nagabandi; Kurt Konolige; Sergey Levine; Vikash Kumar (3rd Annual Conference on Robot Learning, CoRL 2019, Osaka, Japan, October 30 - November 1, 2019, Proceedings, 2019)

Learning Latent Plans from Play - Corey Lynch; Mohi Khansari; Ted Xiao; Vikash Kumar; Jonathan Tompson; Sergey Levine; Pierre Sermanet (3rd Annual Conference on Robot Learning, CoRL 2019, Osaka, Japan, October 30 - November 1, 2019, Proceedings, 2019)

ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots - Michael Ahn; Henry Zhu; Kristian Hartikainen; Hugo Ponte; Abhishek Gupta; Sergey Levine; Vikash Kumar (3rd Annual Conference on Robot Learning, CoRL 2019, Osaka, Japan, October 30 - November 1, 2019, Proceedings, 2019)

Learning Deep Visuomotor Policies for Dexterous Hand Manipulation - Divye Jain; Andrew Li; Shivam Singhal; Aravind Rajeswaran; Vikash Kumar; Emanuel Todorov (International Conference on Robotics and Automation, ICRA 2019, Montreal, QC, Canada, May 20-24, 2019, 2019)

Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost - Henry Zhu; Abhishek Gupta; Aravind Rajeswaran; Sergey Levine; Vikash Kumar (International Conference on Robotics and Automation, ICRA 2019, Montreal, QC, Canada, May 20-24, 2019, 2019)

Design of Current Mode Sigmoid Function and Hyperbolic Tangent Function - Debanjana Datta; Sweta Agarwal; Vikash Kumar; Mayank Raj; Baidyanath Ray; Ayan Banerjee (VLSI Design and Test - 23rd International Symposium, VDAT 2019, Indore, India, July 4-6, 2019, Revised Selected Papers, 2019)

Learning Latent Plans from Play - Corey Lynch; Mohi Khansari; Ted Xiao; Vikash Kumar; Jonathan Tompson; Sergey Levine; Pierre Sermanet (CoRR, 2019)

Dynamics-Aware Unsupervised Discovery of Skills - Archit Sharma; Shixiang Gu; Sergey Levine; Vikash Kumar; Karol Hausman (CoRR, 2019)

Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real - Ofir Nachum; Michael Ahn; Hugo Ponte; Shixiang Gu; Vikash Kumar (CoRR, 2019)

ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots - Michael Ahn; Henry Zhu; Kristian Hartikainen; Hugo Ponte; Abhishek Gupta; Sergey Levine; Vikash Kumar (CoRR, 2019)

Deep Dynamics Models for Learning Dexterous Manipulation - Anusha Nagabandi; Kurt Konolige; Sergey Levine; Vikash Kumar (CoRR, 2019)

Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning - Abhishek Gupta; Vikash Kumar; Corey Lynch; Sergey Levine; Karol Hausman (CoRR, 2019)

Reliable and Q-Enhanced Floating Active Inductors and Their Application in RF Bandpass Filters - Rishab Mehra; Vikash Kumar; Aminul Islam (IEEE Access, 2018)

Divide-and-Conquer Reinforcement Learning - Dibya Ghosh; Avi Singh; Aravind Rajeswaran; Vikash Kumar; Sergey Levine (6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings, 2018)

Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines - Cathy Wu; Aravind Rajeswaran; Yan Duan; Vikash Kumar; Alexandre M. Bayen; Sham M. Kakade; Igor Mordatch; Pieter Abbeel (6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings, 2018)

Domain Randomization and Generative Models for Robotic Grasping - Josh Tobin; Lukas Biewald; Rocky Duan; Marcin Andrychowicz; Ankur Handa; Vikash Kumar; Bob McGrew; Alex Ray; Jonas Schneider; Peter Welinder; Wojciech Zaremba; Pieter Abbeel (2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018, Madrid, Spain, October 1-5, 2018, 2018)

Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations - Aravind Rajeswaran; Vikash Kumar; Abhishek Gupta; Giulia Vezzani; John Schulman; Emanuel Todorov; Sergey Levine (Robotics: Science and Systems XIV, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA, June 26-30, 2018, 2018)

Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research - Matthias Plappert; Marcin Andrychowicz; Alex Ray; Bob McGrew; Bowen Baker; Glenn Powell; Jonas Schneider; Josh Tobin; Maciek Chociej; Peter Welinder; Vikash Kumar; Wojciech Zaremba (CoRR, 2018)

Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines - Cathy Wu; Aravind Rajeswaran; Yan Duan; Vikash Kumar; Alexandre M. Bayen; Sham M. Kakade; Igor Mordatch; Pieter Abbeel (CoRR, 2018)

Time Reversal as Self-Supervision - Suraj Nair; Mohammad Babaeizadeh; Chelsea Finn; Sergey Levine; Vikash Kumar (CoRR, 2018)

Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost - Henry Zhu; Abhishek Gupta; Aravind Rajeswaran; Sergey Levine; Vikash Kumar (CoRR, 2018)

Soft Actor-Critic Algorithms and Applications - Tuomas Haarnoja; Aurick Zhou; Kristian Hartikainen; George Tucker; Sehoon Ha; Jie Tan; Vikash Kumar; Henry Zhu; Abhishek Gupta; Pieter Abbeel; Sergey Levine (CoRR, 2018)

Manipulators and Manipulation in high dimensional spaces - Vikash Kumar (University of Washington, USA, 2017)

Variation-aware widely tunable nanoscale design of CMOS active inductor-based RF bandpass filter - Rishab Mehra; Vikash Kumar; Aminul Islam; Brajesh Kumar Kaushik (Int. J. Circuit Theory Appl., 2017)

Usage Analysis of Mobile Devices - Aman Kr. Singh; Ashish Kr. Prajapati; Vikash Kumar; Subhankar Mishra (Proceedings of the 5th International Conference on Information Technology and Quantitative Management, ITQM 2017, Creating Knowledge and Wisdom via Big Data Analytics, December 8-10, 2017, New Delhi, India, 2017)

Pneumatic Modelling for Adroit Manipulation Platform - Vikash Kumar; Visak CV (CoRR, 2017)

Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations - Aravind Rajeswaran; Vikash Kumar; Abhishek Gupta; John Schulman; Emanuel Todorov; Sergey Levine (CoRR, 2017)

Divide-and-Conquer Reinforcement Learning - Dibya Ghosh; Avi Singh; Aravind Rajeswaran; Vikash Kumar; Sergey Levine (CoRR, 2017)

Sheathless and high throughput sorting of paramagnetic microparticles in a magneto-hydrodynamic microfluidic device - Vikash Kumar; Pouya Rezai (38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, Orlando, FL, USA, August 16-20, 2016, 2016)

Optimal control with learned local models: Application to dexterous manipulation - Vikash Kumar; Emanuel Todorov; Sergey Levine (2016 IEEE International Conference on Robotics and Automation, ICRA 2016, Stockholm, Sweden, May 16-21, 2016, 2016)

Learning Dexterous Manipulation Policies from Experience and Imitation - Vikash Kumar; Abhishek Gupta; Emanuel Todorov; Sergey Levine (CoRR, 2016)

MuJoCo HAPTIX: A virtual reality system for hand manipulation - Vikash Kumar; Emanuel Todorov (15th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2015, Seoul, South Korea, November 3-5, 2015, 2015)

A force-controlled portrait drawing robot - Shubham Jain; Prashant Gupta; Vikash Kumar; Kamal Sharma (IEEE International Conference on Industrial Technology, ICIT 2015, Seville, Spain, March 17-19, 2015, 2015)

On the application of Big Data in future large-scale intelligent Smart City installations - Sylva Girtelschmid; Matthias Steinbauer; Vikash Kumar; Anna Fensel; Gabriele Kotsis (Int. J. Pervasive Comput. Commun., 2014)

Identification of novel inhibitors of human Chk1 using pharmacophore-based virtual screening and their evaluation as potential anti-cancer agents - Vikash Kumar; Saman Khan; Priyanka Gupta; Namrata Rastogi; Durga Prasad Mishra; Shakil Ahmed; Mohammad Imran Siddiqi (J. Comput. Aided Mol. Des., 2014)

Wi-Pi: Distributed Wi-Fi Performance Assessment using Raspberry Pi - Deepak Bhardwaj; Kotaro Kataoka; Vikash Kumar (Proceedings of the AINTEC 2014 on Asian Internet Engineering Conference, Chiang Mai, Thailand, November 26 - 28, 2014, 2014)

SmarT INsiGhts (STING) - An Intelligence Application for Querying Heterogeneous Databases - Vikash Kumar; Ganesh Selvaraj; Andy Shin; Paulo C. M. Gottgtroy (The Semantic Web: ESWC 2014 Satellite Events - ESWC 2014 Satellite Events, Anissaras, Crete, Greece, May 25-29, 2014, Revised Selected Papers, 2014)

Real-time behaviour synthesis for dynamic hand-manipulation - Vikash Kumar; Yuval Tassa; Tom Erez; Emanuel Todorov (2014 IEEE International Conference on Robotics and Automation, ICRA 2014, Hong Kong, China, May 31 - June 7, 2014, 2014)

SESAME-S: Semantic Smart Home System for Energy Efficiency - Anna Fensel; Slobodanka Tomic; Vikash Kumar; Milan Stefanovic; Sergey V. Aleshin; Dmitry O. Novikov (Inform. Spektrum, 2013)

STAC: Simultaneous tracking and calibration - Tingfan Wu; Yuval Tassa; Vikash Kumar; Javier R. Movellan; Emanuel Todorov (13th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2013, Atlanta, GA, USA, October 15-17, 2013, 2013)

Fast, strong and compliant pneumatic actuation for dexterous tendon-driven hands - Vikash Kumar; Zhe Xu; Emanuel Todorov (2013 IEEE International Conference on Robotics and Automation, Karlsruhe, Germany, May 6-10, 2013, 2013)

On the development of a partial update multichannel nonlinear active noise control system - Nithin V. George; Ganapati Panda; Vikash Kumar (7th International Conference on Signal Processing and Communication Systems, ICSPCS 2013, Carrara - Gold Coast, Australia, December 16-18, 2013, 2013)

Big Data in Large Scale Intelligent Smart City Installations - Sylva Girtelschmid; Matthias Steinbauer; Vikash Kumar; Anna Fensel; Gabriele Kotsis (The 15th International Conference on Information Integration and Web-based Applications & Services, IIWAS '13, Vienna, Austria, December 2-4, 2013, 2013)

Context Based Adaptation of Semantic Rules in Smart Buildings - Vikash Kumar; Anna Fensel; Peter Fröhlich (The 15th International Conference on Information Integration and Web-based Applications & Services, IIWAS '13, Vienna, Austria, December 2-4, 2013, 2013)

Rule Based Preferential Context Sharing in Location Aware Mobile Advertising - Vikash Kumar; Joachim Zeiss; Marco Happenhofer (Mobile Web and Information Systems - 10th International Conference, MobiWIS 2013, Paphos, Cyprus, August 26-29, 2013. Proceedings, 2013)

A Semantic Policy Sharing Infrastructure for Pervasive Communities - Vikash Kumar (The Semantic Web: Research and Applications - 9th Extended Semantic Web Conference, ESWC 2012, Heraklion, Crete, Greece, May 27-31, 2012. Proceedings, 2012)

Semantic Policy-Based Data Management for Energy Efficient Smart Buildings - Vikash Kumar; Anna Fensel; Goran Lazendic; Ulrich Lehner (On the Move to Meaningful Internet Systems: OTM 2012 Workshops, Confederated International Workshops: OTM Academy, Industry Case Studies Program, EI2N, INBAST, META4eS, OnToContent, ORM, SeDeS, SINCOM, and SOMOCO 2012, Rome, Italy, September 10-14, 2012. Proceedings, 2012)

A semantic policy sharing and adaptation infrastructure for pervasive communities - Vikash Kumar (Proceedings of the 21st World Wide Web Conference, WWW 2012, Lyon, France, April 16-20, 2012 (Companion Volume), 2012)

Towards Interactive Question Answering: An Ontology-Based Approach - Bernardo Magnini; Manuela Speranza; Vikash Kumar (Proceedings of the 3rd IEEE International Conference on Semantic Computing (ICSC 2009), 14-16 September 2009, Berkeley, CA, USA, 2009)

A MRF model-based segmentation approach to classification for multispectral imagery - Anjan Sarkar; Manoj Kumar Biswas; B. Kartikeyan; Vikash Kumar; Kantilal L. Majumder; D. K. Pal (IEEE Trans. Geosci. Remote. Sens., 2002)