Kanaka Rajan

19 papers A* 2Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Variational Manifold Embedding Framework for Nonlinear Dimensionality Reduction.
CoRR
John J. Vastola, Samuel J. Gershman, Kanaka Rajan
2025 J jnl
Deep RL Needs Deep Behavior Analysis: Exploring Implicit Planning by Model-Free Agents in Open-Ended Environments.
CoRR
Riley Simmons-Edler, Ryan Paul Badman, Felix Baastad Berg, Raymond Chua, John J. Vastola, Joshua Lunger, William Qian, Kanaka Rajan
2025 J jnl
Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents.
CoRR
Raaghav Malik, Satpreet H. Singh, Sonja Johnson-Yu, Nathan Wu, Roy Harpaz, Florian Engert, Kanaka Rajan
2025 J jnl
From Memories to Maps: Mechanisms of In-Context Reinforcement Learning in Transformers.
CoRR
Ching Fang, Kanaka Rajan
2025 J jnl
Gradient Descent as Loss Landscape Navigation: a Normative Framework for Deriving Learning Rules.
CoRR
John J. Vastola, Samuel J. Gershman, Kanaka Rajan
2025 J jnl
InputDSA: Demixing then Comparing Recurrent and Externally Driven Dynamics.
CoRR
Ann Huang, Mitchell Ostrow, Satpreet H. Singh, Leo Kozachkov, Ila Fiete, Kanaka Rajan
2025 J jnl
Military AI Needs Technically-Informed Regulation to Safeguard AI Research and its Applications.
CoRR
Riley Simmons-Edler, Jean Dong, Paul Lushenko, Kanaka Rajan, Ryan Paul Badman
2025 J jnl
POCO: Scalable Neural Forecasting through Population Conditioning.
CoRR
Yu Duan, Hamza Tahir Chaudhry, Misha B. Ahrens, Christopher D. Harvey, Matthew G. Perich, Karl Deisseroth, Kanaka Rajan
2025 J jnl
Understanding Electro-communication and Electro-sensing in Weakly Electric Fish using Multi-Agent Deep Reinforcement Learning.
CoRR
Satpreet H. Singh, Sonja Johnson-Yu, Zhouyang Lu, Aaron Walsman, Federico Pedraja, Denis Turcu, Pratyusha Sharma, Naomi Saphra, Nathaniel B. Sawtell, Kanaka Rajan
2024 J jnl
AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research.
CoRR
Riley Simmons-Edler, Ryan Paul Badman, Shayne Longpre, Kanaka Rajan
2024 J jnl
Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks.
CoRR
Ann Huang, Satpreet H. Singh, Kanaka Rajan
2024 A* conf
Position: AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research.
ICML
Riley Simmons-Edler, Ryan Paul Badman, Shayne Longpre, Kanaka Rajan
2023 J jnl
A 'programming' framework for recurrent neural networks.
Nat. Mac. Intell.
Manuel Beiran, Camille A. Spencer-Salmon, Kanaka Rajan
2022 A* conf
Curriculum learning as a tool to uncover learning principles in the brain.
ICLR
Daniel R. Kepple, Rainer Engelken, Kanaka Rajan
2021 J jnl
A brain basis of dynamical intelligence for AI and computational neuroscience.
CoRR
Joseph D. Monaco, Kanaka Rajan, Grace M. Hwang
2021 J jnl
Efficient and robust multi-task learning in the brain with modular task primitives.
CoRR
Christian David Marton, Guillaume Lajoie, Kanaka Rajan
2017 J jnl
full-FORCE: A Target-Based Method for Training Recurrent Networks.
CoRR
Brian DePasquale, Christopher J. Cueva, Kanaka Rajan, G. Sean Escola, L. F. Abbott
2013 J jnl
Learning Quadratic Receptive Fields from Neural Responses to Natural Stimuli.
Neural Comput.
Kanaka Rajan, Olivier Marre, Gasper Tkacik
2010 — conf
Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics.
NIPS
Kanaka Rajan, L. F. Abbott, Haim Sompolinsky
redb/extractors/decompiler/bninja/pyproject.toml
← Index redb/extractors/decompiler/bninja/pyproject.toml ini 
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