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ORCIDGeethan Karunaratne
- > Home > Persons > Geethan Karunaratne
Publications
- 2024
[c18]Samuele Ruffino, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi:
Zero-Shot Classification Using Hyperdimensional Computing. DATE 2024: 1-2- [c17]Gentiana Rashiti, Geethan Karunaratne, Mrinmaya Sachan, Abu Sebastian, Abbas Rahimi:
RETRO-LI: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization. ECAI 2024: 2974-2982 - [i25]Samuele Ruffino, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi:
Zero-shot Classification using Hyperdimensional Computing. CoRR abs/2401.16876 (2024) - [i24]Jonathan Thomm, Aleksandar Terzic, Geethan Karunaratne, Giacomo Camposampiero, Bernhard Schölkopf, Abbas Rahimi
:
Limits of Transformer Language Models on Learning Algorithmic Compositions. CoRR abs/2402.05785 (2024) - [i23]Gentiana Rashiti, Geethan Karunaratne, Mrinmaya Sachan, Abu Sebastian, Abbas Rahimi:
Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization. CoRR abs/2410.00004 (2024) - [i22]Geethan Karunaratne, Michael Hersche, Abu Sebastian, Abbas Rahimi:
On the Role of Noise in Factorizers for Disentangling Distributed Representations. CoRR abs/2412.00354 (2024) - 2023
- [j8]Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcón, Abu Sebastian, Sergi Abadal:
WHYPE: A Scale-Out Architecture With Wireless Over-the-Air Majority for Scalable In-Memory Hyperdimensional Computing. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(1): 137-149 (2023) - [j7]Denis Kleyko, Geethan Karunaratne, Jan M. Rabaey, Abu Sebastian, Abbas Rahimi:
Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10993-10998 (2023) - [c16]Michael Hersche, Zuzanna Opala, Geethan Karunaratne, Abu Sebastian, Abbas Rahimi:
Decoding Superpositions of Bound Symbols Represented by Distributed Representations. NeSy 2023: 279-288 - [c15]Nicolas Menet, Michael Hersche, Geethan Karunaratne, Luca Benini, Abu Sebastian, Abbas Rahimi:
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition. NeurIPS 2023 - [p1]Geethan Karunaratne, Michael Hersche, Giovanni Cherubini, Abu Sebastian, Abbas Rahimi:
Few-Shot Continual Learning Based on Vector Symbolic Architectures. Compendium of Neurosymbolic Artificial Intelligence 2023: 522-546 - [d1]Jovin Langenegger, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi:
Raw data related to In-memory factorization of holographic perceptual representations. Zenodo, 2023
- [i21]Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcón, Abu Sebastian, Sergi Abadal:
WHYPE: A Scale-Out Architecture with Wireless Over-the-Air Majority for Scalable In-memory Hyperdimensional Computing. CoRR abs/2303.08067 (2023) - [i20]Michael Hersche, Aleksandar Terzic, Geethan Karunaratne, Jovin Langenegger, Angéline Pouget, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi:
Factorizers for Distributed Sparse Block Codes. CoRR abs/2303.13957 (2023) - [i19]Nicolas Menet, Michael Hersche, Geethan Karunaratne, Luca Benini, Abu Sebastian, Abbas Rahimi:
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition. CoRR abs/2312.02829 (2023) - [i18]Aleksandar Terzic, Michael Hersche, Geethan Karunaratne, Luca Benini, Abu Sebastian, Abbas Rahimi:
TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing. CoRR abs/2312.05605 (2023) - 2022
- [c13]Michael Hersche, Geethan Karunaratne, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi:
Constrained Few-shot Class-incremental Learning. CVPR 2022: 9047-9057 - [c12]Geethan Karunaratne, Michael Hersche, Jovin Langenegger, Giovanni Cherubini, Manuel Le Gallo, Urs Egger, Kevin Brew, Samuel Choi, Injo Ok, Mary Claire Silvestre, Ning Li, Nicole Saulnier, Victor Chan, Ishtiaq Ahsan, Vijay Narayanan, Luca Benini, Abu Sebastian, Abbas Rahimi:
In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory. ESSCIRC 2022: 105-108 - [c11]Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcón, Abu Sebastian, Sergi Abadal:
Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing. IJCNN 2022: 1-8 - [i16]Denis Kleyko, Geethan Karunaratne, Jan M. Rabaey, Abu Sebastian, Abbas Rahimi:
Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks. CoRR abs/2203.06223 (2022) - [i15]Michael Hersche, Geethan Karunaratne, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi:
Constrained Few-shot Class-incremental Learning. CoRR abs/2203.16588 (2022) - [i14]Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcón, Abu Sebastian, Sergi Abadal:
Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing. CoRR abs/2205.10889 (2022) - [i12]Geethan Karunaratne, Michael Hersche, Jovin Langenegger, Giovanni Cherubini, Manuel Le Gallo, Urs Egger, Kevin Brew, Samuel Choi, Injo Ok, Mary Claire Silvestre, Ning Li, Nicole Saulnier, Victor Chan, Ishtiaq Ahsan, Vijay Narayanan, Luca Benini, Abu Sebastian, Abbas Rahimi:
In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory. CoRR abs/2207.06810 (2022) - [i11]Jovin Langenegger, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi:
In-memory factorization of holographic perceptual representations. CoRR abs/2211.05052 (2022) - 2021
- [j3]Geethan Karunaratne, Manuel Le Gallo, Michael Hersche, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi:
Energy Efficient In-Memory Hyperdimensional Encoding for Spatio-Temporal Signal Processing. IEEE Trans. Circuits Syst. II Express Briefs 68(5): 1725-1729 (2021) - [c10]Geethan Karunaratne, Abbas Rahimi, Manuel Le Gallo, Giovanni Cherubini, Abu Sebastian:
Real-time Language Recognition using Hyperdimensional Computing on Phase-change Memory Array. AICAS 2021: 1 - [i9]Geethan Karunaratne, Manuel Le Gallo, Michael Hersche, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi:
Energy Efficient In-memory Hyperdimensional Encoding for Spatio-temporal Signal Processing. CoRR abs/2106.11654 (2021) - 2020
- [i4]Geethan Karunaratne, Manuel Schmuck, Manuel Le Gallo, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi:
Robust High-dimensional Memory-augmented Neural Networks. CoRR abs/2010.01939 (2020) - 2019
- [c4]Said Hamdioui, Hoang Anh Du Nguyen, Mottaqiallah Taouil, Abu Sebastian, Manuel Le Gallo, Sandeep Pande, Siebren Schaafsma, Francky Catthoor, Shidhartha Das, Fernando García-Redondo, Geethan Karunaratne, Abbas Rahimi, Luca Benini:
Applications of Computation-In-Memory Architectures based on Memristive Devices. DATE 2019: 486-491 - [i2]Geethan Karunaratne, Manuel Le Gallo, Giovanni Cherubini, Luca Benini, Abbas Rahimi, Abu Sebastian:
In-memory hyperdimensional computing. CoRR abs/1906.01548 (2019)
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