Kanaka Rajan - RankMe

19 papers A* 2Journal 16Unranked 1

Year	Rank	Type	Title / 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