Fiete, Ila

18 publications

NeurIPS 2024 Flexible Context-Driven Sensory Processing in Dynamical Vision Models Lakshmi Narasimhan Govindarajan, Abhiram Iyer, Valmiki Kothare, Ila Fiete

NeurIPS 2024 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 How Diffusion Models Learn to Factorize and Compose Qiyao Liang, Ziming Liu, Mitchell Ostrow, Ila Fiete

IJCAI 2024 Towards Exact Computation of Inductive Bias Akhilan Boopathy, William Yue, Jaedong Hwang, Abhiram Iyer, Ila Fiete

NeurIPS 2023 Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis Mitchell Ostrow, Adam Eisen, Leo Kozachkov, Ila Fiete

NeurIPSW 2023 Divergence at the Interpolation Threshold: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle Rylan Schaeffer, Zachary Robertson, Akhilan Boopathy, Mikail Khona, Ila Fiete, Andrey Gromov, Sanmi Koyejo

NeurIPSW 2023 Growing Brains in Recurrent Neural Networks for Multiple Cognitive Tasks Ziming Liu, Mikail Khona, Ila Fiete, Max Tegmark

NeurIPSW 2023 Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete

NeurIPS 2023 Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells Rylan Schaeffer, Mikail Khona, Tzuhsuan Ma, Cristobal Eyzaguirre, Sanmi Koyejo, Ila Fiete

NeurIPSW 2023 Testing Assumptions Underlying a Unified Theory for the Origin of Grid Cells Rylan Schaeffer, Mikail Khona, Adrian Bertagnoli, Sanmi Koyejo, Ila Fiete

ICML 2022 Content Addressable Memory Without Catastrophic Forgetting by Heteroassociation with a Fixed Scaffold Sugandha Sharma, Sarthak Chandra, Ila Fiete

ICML 2022 How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective Akhilan Boopathy, Ila Fiete

NeurIPS 2022 No Free Lunch from Deep Learning in Neuroscience: A Case Study Through Models of the Entorhinal-Hippocampal Circuit Rylan Schaeffer, Mikail Khona, Ila Fiete

ICML 2022 Streaming Inference for Infinite Feature Models Rylan Schaeffer, Yilun Du, Gabrielle K Liu, Ila Fiete

NeurIPS 2020 Reverse-Engineering Recurrent Neural Network Solutions to a Hierarchical Inference Task for Mice Rylan Schaeffer, Mikail Khona, Leenoy Meshulam, Brain Laboratory International, Ila Fiete

NeurIPS 2019 Bipartite Expander Hopfield Networks as Self-Decoding High-Capacity Error Correcting Codes Rishidev Chaudhuri, Ila Fiete

ICLR 2019 Kernel RNN Learning (KeRNL) Christopher Roth, Ingmar Kanitscheider, Ila Fiete

NeurIPS 2017 Training Recurrent Networks to Generate Hypotheses About How the Brain Solves Hard Navigation Problems Ingmar Kanitscheider, Ila Fiete