Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model. - Jaideep Pathak; Alexander Wikner; Rebeckah Fussell; Sarthak Chandra; Brian R. Hunt; Michelle Girvan; Edward Ott (CoRR, 2018)

Content Addressable Memory Without Catastrophic Forgetting by Heteroassociation with a Fixed Scaffold. - Sugandha Sharma; Sarthak Chandra; Ila R. Fiete (ICML, 2022)

See and Copy: Generation of complex compositional movements from modular and geometric RNN representations. - Sunny Duan; Mikail Khona; Adrian Bertagnoli; Sarthak Chandra; Ila Fiete (NeurReps, 2022)

Winning the Lottery With Neural Connectivity Constraints: Faster Learning Across Cognitive Tasks With Spatially Constrained Sparse RNNs. - Mikail Khona; Sarthak Chandra; Joy J. Ma; Ila R. Fiete (Neural Comput., 2023)

Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals. - Abhiram Iyer; Sarthak Chandra; Sugandha Sharma; Ila Fiete (NeurIPS, 2024)

Bridging Associative Memory and Probabilistic Modeling. - Rylan Schaeffer; Nika Zahedi; Mikail Khona; Dhruv Pai; Sang T. Truong; Yilun Du; Mitchell Ostrow; Sarthak Chandra; Andres Carranza; Ila Rani Fiete; Andrey Gromov; Sanmi Koyejo (CoRR, 2024)

Characterizing control between interacting subsystems with deep Jacobian estimation. - Adam Eisen; Mitchell Ostrow; Sarthak Chandra; Leo Kozachkov; Earl K. Miller; Ila R. Fiete (CoRR, 2025)