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ORCIDChandramouli Shama Sastry
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2020 – today
- 2024
[c7]Yujia Huang, Adishree Ghatare, Yuanzhe Liu, Ziniu Hu, Qinsheng Zhang, Chandramouli Shama Sastry, Siddharth Gururani, Sageev Oore, Yisong Yue:
Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion. ICML 2024- [i11]Yujia Huang, Adishree Ghatare, Yuanzhe Liu, Ziniu Hu, Qinsheng Zhang, Chandramouli Shama Sastry, Siddharth Gururani, Sageev Oore, Yisong Yue:
Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion. CoRR abs/2402.14285 (2024) - [i10]Sri Harsha Dumpala, Chandramouli Shama Sastry, Rudolf Uher, Sageev Oore:
Test-Time Training for Depression Detection. CoRR abs/2404.05071 (2024) - [i9]Sri Harsha Dumpala, Aman Jaiswal, Chandramouli Shama Sastry, Evangelos E. Milios, Sageev Oore, Hassan Sajjad:
VISLA Benchmark: Evaluating Embedding Sensitivity to Semantic and Lexical Alterations. CoRR abs/2404.16365 (2024) - [i8]Sri Harsha Dumpala, Aman Jaiswal, Chandramouli Shama Sastry, Evangelos E. Milios, Sageev Oore, Hassan Sajjad:
SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations. CoRR abs/2406.11171 (2024) - [i7]Sri Harsha Dumpala, Aman Jaiswal, Chandramouli Shama Sastry, Evangelos E. Milios, Sageev Oore, Hassan Sajjad:
Sensitivity of Generative VLMs to Semantically and Lexically Altered Prompts. CoRR abs/2410.13030 (2024) - 2023
- [i6]George E. Dahl, Frank Schneider, Zachary Nado, Naman Agarwal, Chandramouli Shama Sastry, Philipp Hennig, Sourabh Medapati, Runa Eschenhagen, Priya Kasimbeg, Daniel Suo, Juhan Bae, Justin Gilmer, Abel L. Peirson, Bilal Khan, Rohan Anil, Mike Rabbat, Shankar Krishnan, Daniel Snider, Ehsan Amid, Kongtao Chen, Chris J. Maddison, Rakshith Vasudev, Michal Badura, Ankush Garg, Peter Mattson:
Benchmarking Neural Network Training Algorithms. CoRR abs/2306.07179 (2023) - [i5]Chandramouli Shama Sastry, Sri Harsha Dumpala, Sageev Oore:
Training Diffusion Classifiers with Denoising Assistance. CoRR abs/2306.09192 (2023) - [i4]Sri Harsha Dumpala, Chandramouli Shama Sastry, Sageev Oore:
Test-Time Training for Speech. CoRR abs/2309.10930 (2023) - 2022
- [j3]Chandramouli Shama Sastry, Andreas M. Lehrmann, Marcus A. Brubaker, Alexander Radovic:
Efficient CDF Approximations for Normalizing Flows. Trans. Mach. Learn. Res. 2022 (2022) - [c6]Sri Harsha Dumpala, Chandramouli Shama Sastry, Rudolf Uher, Sageev Oore:
On Combining Global and Localized Self-Supervised Models of Speech. INTERSPEECH 2022: 3593-3597 - [i3]Chandramouli Shama Sastry, Andreas M. Lehrmann, Marcus A. Brubaker, Alexander Radovic:
Efficient CDF Approximations for Normalizing Flows. CoRR abs/2202.11322 (2022) - 2021
- [c5]Aman Jaiswal
, Harpreet Singh Sodhi, Mohamed Muzamil H, Rajveen Singh Chandhok, Sageev Oore, Chandramouli Shama Sastry:
Controlling BigGAN Image Generation with a Segmentation Network. DS 2021: 268-281 - [i2]Jason d'Eon, Sri Harsha Dumpala, Chandramouli Shama Sastry, Dani Oore, Sageev Oore:
Musical Speech: A Transformer-based Composition Tool. CoRR abs/2108.01043 (2021) - 2020
- [j2]Chandramouli Shama Sastry, Evangelos E. Milios:
Active neural learners for text with dual supervision. Neural Comput. Appl. 32(17): 13343-13362 (2020) - [c4]André G. C. Pacheco, Chandramouli Shama Sastry, Thomas Trappenberg, Sageev Oore, Renato A. Krohling:
On Out-of-Distribution Detection Algorithms with Deep Neural Skin Cancer Classifiers. CVPR Workshops 2020: 3152-3161 - [c3]Chandramouli Shama Sastry, Sageev Oore:
Detecting Out-of-Distribution Examples with Gram Matrices. ICML 2020: 8491-8501 - [c2]Jason d'Eon, Sri Harsha Dumpala, Chandramouli Shama Sastry, Daniel Oore, Sageev Oore:
Musical Speech: A Transformer-based Composition Tool. NeurIPS (Competition and Demos) 2020: 253-274
2010 – 2019
- 2019
- [i1]Chandramouli Shama Sastry, Sageev Oore:
Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices. CoRR abs/1912.12510 (2019) - 2017
- [j1]Chandramouli Shama Sastry, Darshan Siddesh Jagaluru, Kavi Mahesh:
A Multi-Entity Page Rank Algorithm. POLIBITS 55: 25-33 (2017) - [c1]Chandramouli Shama Sastry, Darshan Siddesh Jagaluru, Kavi Mahesh:
Visualizing Textbook Concepts: Beyond Word Co-occurrences. CICLing (1) 2017: 363-376
Coauthor Index
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