Kanaka Rajan

According to our database, Kanaka Rajan authored at least 21 papers between 2010 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A dimensional R2 regression metric.

Jaesung Yoo, Stefan Lemke, Jian-Zhong Guo, Kanaka Rajan, Adam W. Hantman

CoRR, May, 2026

2025

A Variational Manifold Embedding Framework for Nonlinear Dimensionality Reduction.

John J. Vastola, Samuel J. Gershman, Kanaka Rajan

CoRR, November, 2025

Understanding Electro-communication and Electro-sensing in Weakly Electric Fish using Multi-Agent Deep Reinforcement Learning.

Satpreet H. Singh, Sonja Johnson-Yu, Zhouyang Lu, Aaron Walsman, Federico Pedraja, Denis Turcu, Pratyusha Sharma, Naomi Saphra, Nathaniel B. Sawtell, Kanaka Rajan

CoRR, November, 2025

InputDSA: Demixing then Comparing Recurrent and Externally Driven Dynamics.

Ann Huang, Mitchell Ostrow, Satpreet H. Singh, Leo Kozachkov, Ila Fiete, Kanaka Rajan

CoRR, October, 2025

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents.

Raaghav Malik, Satpreet H. Singh, Sonja Johnson-Yu, Nathan Wu, Roy Harpaz, Florian Engert, Kanaka Rajan

CoRR, October, 2025

From Memories to Maps: Mechanisms of In-Context Reinforcement Learning in Transformers.

Ching Fang, Kanaka Rajan

CoRR, June, 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

CoRR, June, 2025

Gradient Descent as Loss Landscape Navigation: a Normative Framework for Deriving Learning Rules.

John J. Vastola, Samuel J. Gershman, Kanaka Rajan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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 J. Vastola, Joshua Lunger, William Qian, Kanaka Rajan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks.

Ann Huang, Satpreet Harcharan Singh, Flavio Martinelli, Kanaka Rajan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks.

Ann Huang, Satpreet H. Singh, Kanaka Rajan

CoRR, 2024

AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research.

Riley Simmons-Edler, Ryan Paul Badman, Shayne Longpre, Kanaka Rajan

CoRR, 2024

Position: AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research.

Riley Simmons-Edler, Ryan Paul Badman, Shayne Longpre, Kanaka Rajan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

A 'programming' framework for recurrent neural networks.

Manuel Beiran, Camille A. Spencer-Salmon, Kanaka Rajan

Nat. Mac. Intell., June, 2023

2022

Curriculum learning as a tool to uncover learning principles in the brain.

Daniel R. Kepple, Rainer Engelken, Kanaka Rajan

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Efficient and robust multi-task learning in the brain with modular task primitives.

Christian David Marton, Guillaume Lajoie, Kanaka Rajan

CoRR, 2021

A brain basis of dynamical intelligence for AI and computational neuroscience.

Joseph D. Monaco, Kanaka Rajan, Grace M. Hwang

CoRR, 2021

2017

full-FORCE: A Target-Based Method for Training Recurrent Networks.

Brian DePasquale, Christopher J. Cueva, Kanaka Rajan, G. Sean Escola, L. F. Abbott

CoRR, 2017

2013

Learning Quadratic Receptive Fields from Neural Responses to Natural Stimuli.

Kanaka Rajan, Olivier Marre, Gasper Tkacik

Neural Comput., 2013

2010

Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics.

Kanaka Rajan, L. F. Abbott, Haim Sompolinsky

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010