Fiete, Ila R

28 publications

ICML 2025 A Multi-Region Brain Model to Elucidate the Role of Hippocampus in Spatially Embedded Decision-Making Yi Xie, Jaedong Hwang, Carlos D Brody, David W. Tank, Ila R Fiete
ICLR 2025 Breaking Neural Network Scaling Laws with Modularity Akhilan Boopathy, Sunshine Jiang, William Yue, Jaedong Hwang, Abhiram Iyer, Ila R Fiete
NeurIPS 2025 Characterizing Control Between Interacting Subsystems with Deep Jacobian Estimation Adam Joseph Eisen, Mitchell Ostrow, Sarthak Chandra, Leo Kozachkov, Earl K Miller, Ila R Fiete
ICML 2025 Compositional Generalization via Forced Rendering of Disentangled Latents Qiyao Liang, Daoyuan Qian, Liu Ziyin, Ila R Fiete
NeurIPS 2025 From Synapses to Dynamics: Obtaining Function from Structure in a Connectome Constrained Model of the Head Direction Circuit Sunny Duan, Ling Liang Dong, Ila R Fiete
ICLR 2025 Uncovering Latent Memories in Large Language Models Sunny Duan, Mikail Khona, Abhiram Iyer, Rylan Schaeffer, Ila R Fiete
ICMLW 2024 Delay Embedding Theory of Neural Sequence Models Mitchell Ostrow, Adam Joseph Eisen, Ila R Fiete
TMLR 2024 Grid Cell-Inspired Fragmentation and Recall for Efficient mAP Building Jaedong Hwang, Zhang-Wei Hong, Eric R Chen, Akhilan Boopathy, Pulkit Agrawal, Ila R Fiete
NeurIPSW 2024 Grid Cell-Inspired Fragmentation and Recall for Efficient mAP Building Jaedong Hwang, Zhang-Wei Hong, Eric R Chen, Akhilan Boopathy, Pulkit Agrawal, Ila R Fiete
NeurIPSW 2024 ImageNet-RIB Benchmark: Large Pre-Training Datasets Don't Guarantee Robustness After Fine-Tuning Jaedong Hwang, Brian Cheung, Zhang-Wei Hong, Akhilan Boopathy, Pulkit Agrawal, Ila R Fiete
ICLR 2024 Improving Protein Optimization with Smoothed Fitness Landscapes Andrew Kirjner, Jason Yim, Raman Samusevich, Shahar Bracha, Tommi S. Jaakkola, Regina Barzilay, Ila R Fiete
ICML 2024 Rapid Learning Without Catastrophic Forgetting in the Morris Water Maze Raymond Wang, Jaedong Hwang, Akhilan Boopathy, Ila R Fiete
ICMLW 2024 Uncovering Latent Memories: Assessing Data Leakage and Memorization Patterns in Large Language Models Sunny Duan, Mikail Khona, Abhiram Iyer, Rylan Schaeffer, Ila R Fiete
ICMLW 2024 Uncovering Latent Memories: Assessing Data Leakage and Memorization Patterns in Large Language Models Sunny Duan, Mikail Khona, Abhiram Iyer, Rylan Schaeffer, Ila R Fiete
NeurIPSW 2023 Associative Memory Under the Probabilistic Lens: Improved Transformers & Dynamic Memory Creation Rylan Schaeffer, Mikail Khona, Nika Zahedi, Ila R Fiete, Andrey Gromov, Sanmi Koyejo
NeurIPSW 2023 Generalizable Relational Inference with Cognitive Maps in a Hippocampal Model and in Primates Jaedong Hwang, Sujaya Neupane, Mehrdad Jazayeri, Ila R Fiete
NeurIPSW 2023 Growing Brains: Co-Emergence of Anatomical and Functional Modularity in Recurrent Neural Networks Ziming Liu, Mikail Khona, Ila R Fiete, Max Tegmark
ICML 2023 Model-Agnostic Measure of Generalization Difficulty Akhilan Boopathy, Kevin Liu, Jaedong Hwang, Shu Ge, Asaad Mohammedsaleh, Ila R Fiete
ICMLW 2023 Optimizing Protein Fitness Using Gibbs Sampling with Graph-Based Smoothing Andrew Kirjner, Jason Yim, Raman Samusevich, Tommi S. Jaakkola, Regina Barzilay, Ila R Fiete
ICMLW 2023 Optimizing Protein Fitness Using Gibbs Sampling with Graph-Based Smoothing Andrew Kirjner, Jason Yim, Raman Samusevich, Tommi S. Jaakkola, Regina Barzilay, Ila R Fiete
NeurIPSW 2023 Rapid Learning Without Catastrophic Forgetting in the Morris Water Maze Raymond Wang, Jaedong Hwang, Akhilan Boopathy, Ila R Fiete
NeurIPSW 2023 Testing Assumptions Underlying a Unified Theory for the Origin of Grid Cells Rylan Schaeffer, Mikail Khona, Adrian Bertagnoli, Sanmi Koyejo, Ila R Fiete
NeurIPSW 2023 Testing Assumptions Underlying a Unified Theory for the Origin of Grid Cells Rylan Schaeffer, Mikail Khona, Adrian Bertagnoli, Sanmi Koyejo, Ila R Fiete
ICMLW 2022 No Free Lunch from Deep Learning in Neuroscience: A Case Study Through Models of the Entorhinal-Hippocampal Circuit Rylan Schaeffer, Mikail Khona, Ila R Fiete
NeurIPSW 2022 See and Copy: Generation of Complex Compositional Movements from Modular and Geometric RNN Representations Sunny Duan, Mikail Khona, Adrian Bertagnoli, Sarthak Chandra, Ila R Fiete
CoLLAs 2022 Streaming Inference for Infinite Non-Stationary Clustering Rylan Schaeffer, Gabrielle Kaili-may Liu, Yilun Du, Scott Linderman, Ila R. Fiete
ICLRW 2022 Streaming Inference for Infinite Non-Stationary Clustering Rylan Schaeffer, Gabrielle Kaili-May Liu, Yilun Du, Scott Linderman, Ila R Fiete
ICLR 2022 mAP Induction: Compositional Spatial Submap Learning for Efficient Exploration in Novel Environments Sugandha Sharma, Aidan Curtis, Marta Kryven, Joshua B. Tenenbaum, Ila R Fiete