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selected publications
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Neural Population Geometry across model scale: A tool for cross-species functional
comparison of visual brain regions
Arna Ghosh, KKA, Zahraa Chorghay, Arnab Kumar Mondal, Blake Richards
Computational and Systems Neuroscience (COSYNE) 2023
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Assessing representation quality in SSL by measuring eigenspectrum decay
KKA*, Arna Ghosh*, Arnab Kumar Mondal*, Blake Richards
Neural Information Processing Systems (NeurIPS), 2022
openReview / code / blog
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Octopus : Low-Latency & Adaptive Perception Pipelines
Gur-Eyal Sela, Ionel Gog, Justin Wong, KKA, Sukrit Kalra, Peter
Schafhalter, Xiangxi Mo, Xin Wang, Bharath Balaji, Ion Stoica, Joseph Gonzalez
European Conference in Computer Vision (ECCV), 2022
arXiv / code
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Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits
Wenshuo Guo, KKA, Aditya Grover, Vidya Muthukumar, Ashwin Pananjady
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Workshop on Theory of Reinforcement Learning, ICML 2021
Workshop on Human-AI
Collaboration in Sequential Decision-Making
, ICML 2021 (spotlight)
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Discrete Flows: Invertible Generative Models for Discrete Data
Dustin Tran, Keyon Vafa, KKA, Laurent Dinh, Ben Poole
Neural Information Processing Systems (NeurIPS), 2019
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GANSynth: Adversarial Neural Audio
Synthesis
Jesse Engel,
KKA, Shuo Chen,
Ishaan
Gulrajani,
Chris Donahue,
Adam Roberts
International Conference on Learning Representations, (ICLR) 2019
arXiv
/ Magenta blog / samples
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Discriminator Actor Critic: Addressing sample
inefficiency and reward bias in Adversarial
Imitation Learning
Ilya Kostrikov,
KKA,
Debidatta Dwibedi,
Sergey Levine,
Jonathan Tompson
International Conference on Learning Representations (ICLR) 2019
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Towards Mixed Optimization for Reinforcement Learning with
Program Synthesis
Surya Bhupatiraju*, KKA*,
Rishabh Singh
Workshop on Neural Abstract Machines and Program Induction,
ICML 2018
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