Rajan, Kanaka

8 publications

NeurIPS 2025 Deep RL Needs Deep Behavior Analysis: Exploring Implicit Planning by Model-Free Agents in Open-Ended Environments Riley Simmons-Edler, Ryan Paul Badman, Felix Baastad Berg, Raymond Chua, John Vastola, Joshua Lunger, William Qian, Kanaka Rajan

NeurIPS 2025 Gradient Descent as Loss Landscape Navigation: A Normative Framework for Deriving Learning Rules John Vastola, Samuel J. Gershman, Kanaka Rajan

NeurIPS 2025 Measuring and Controlling Solution Degeneracy Across Task-Trained Recurrent Neural Networks Ann Huang, Satpreet Harcharan Singh, Flavio Martinelli, Kanaka Rajan

NeurIPS 2025 Military AI Needs Technically-Informed Regulation to Safeguard AI Research and Its Applications Riley Simmons-Edler, Jean Dong, Paul Lushenko, Kanaka Rajan, Ryan Paul Badman

NeurIPS 2025 POCO: Scalable Neural Forecasting Through Population Conditioning Yu Duan, Hamza Tahir Chaudhry, Misha B. Ahrens, Christopher D Harvey, Matthew G Perich, Karl Deisseroth, Kanaka Rajan

ICML 2024 Position: AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research Riley Simmons-Edler, Ryan Paul Badman, Shayne Longpre, Kanaka Rajan

ICLR 2022 Curriculum Learning as a Tool to Uncover Learning Principles in the Brain Daniel R. Kepple, Rainer Engelken, Kanaka Rajan

NeurIPS 2010 Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics Kanaka Rajan, L Abbott, Haim Sompolinsky