Ila Fiete

According to our database, Ila Fiete authored at least 42 papers between 2009 and 2024.

Collaborative distances:

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

2024

Grid Cell-Inspired Fragmentation and Recall for Efficient Map Building.

Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila R. Fiete

Trans. Mach. Learn. Res., 2024

Permutation Invariant Learning with High-Dimensional Particle Filters.

Akhilan Boopathy, Aneesh Muppidi, Peggy Yang, Abhiram Iyer, William Yue, Ila Fiete

CoRR, 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 Fiete

CoRR, 2024

Unified Neural Network Scaling Laws and Scale-time Equivalence.

Akhilan Boopathy, Ila Fiete

CoRR, 2024

Breaking Neural Network Scaling Laws with Modularity.

Akhilan Boopathy, Sunshine Jiang, William Yue, Jaedong Hwang, Abhiram Iyer, Ila Fiete

CoRR, 2024

How Diffusion Models Learn to Factorize and Compose.

Qiyao Liang, Ziming Liu, Mitchell Ostrow, Ila Fiete

CoRR, 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

CoRR, 2024

Delay Embedding Theory of Neural Sequence Models.

Mitchell Ostrow, Adam Eisen, Ila Fiete

CoRR, 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

Do Diffusion Models Learn Semantically Meaningful and Efficient Representations?

Qiyao Liang, Ziming Liu, Ila Fiete

CoRR, 2024

Towards Exact Computation of Inductive Bias.

Akhilan Boopathy, William Yue, Jaedong Hwang, Abhiram Iyer, Ila Fiete

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Resampling-free Particle Filters in High-dimensions.

Akhilan Boopathy, Aneesh Muppidi, Peggy Yang, Abhiram Iyer, William Yue, Ila Fiete

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Rapid Learning without Catastrophic Forgetting in the Morris Water Maze.

Raymond Wang, Jaedong Hwang, Akhilan Boopathy, Ila R. Fiete

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

Improving protein optimization with smoothed fitness landscapes.

Andrew Kirjner, Jason Yim, Raman Samusevich, Shahar Bracha, Tommi S. Jaakkola, Regina Barzilay, Ila R. Fiete

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

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., November, 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

CoRR, 2023

Growing Brains: Co-emergence of Anatomical and Functional Modularity in Recurrent Neural Networks.

Ziming Liu, Mikail Khona, Ila R. Fiete, Max Tegmark

CoRR, 2023

Neuro-Inspired Efficient Map Building via Fragmentation and Recall.

Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete

CoRR, 2023

Optimizing protein fitness using Gibbs sampling with Graph-based Smoothing.

Andrew Kirjner, Jason Yim, Raman Samusevich, Tommi S. Jaakkola, Regina Barzilay, Ila Fiete

CoRR, 2023

Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle.

Rylan Schaeffer, Mikail Khona, Zachary Robertson, Akhilan Boopathy, Kateryna Pistunova, Jason W. Rocks, Ila Rani Fiete, Oluwasanmi Koyejo

CoRR, 2023

Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells.

Rylan Schaeffer, Mikail Khona, Tzuhsuan Ma, Cristóbal Eyzaguirre, Sanmi Koyejo, Ila Fiete

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis.

Mitchell Ostrow, Adam Eisen, Leo Kozachkov, Ila Fiete

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Model-agnostic Measure of Generalization Difficulty.

Akhilan Boopathy, Kevin Liu, Jaedong Hwang, Shu Ge, Asaad Mohammedsaleh, Ila Fiete

Proceedings of the International Conference on Machine Learning, 2023

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2022

Content Addressable Memory Without Catastrophic Forgetting by Heteroassociation with a Fixed Scaffold.

Sugandha Sharma, Sarthak Chandra, Ila R. Fiete

Proceedings of the International Conference on Machine Learning, 2022

Streaming Inference for Infinite Feature Models.

Rylan Schaeffer, Yilun Du, Gabrielle K. Liu, Ila Fiete

Proceedings of the International Conference on Machine Learning, 2022

How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective.

Akhilan Boopathy, Ila Fiete

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the Tenth International Conference on Learning Representations, 2022

Streaming Inference for Infinite Non-Stationary Clustering.

Rylan Schaeffer, Gabrielle Kaili-May Liu, Yilun Du, Scott Linderman, Ila Rani Fiete

Proceedings of the Conference on Lifelong Learning Agents, 2022

Efficient exploration of spatial environments through Map Induction using adaptable compositional map representations.

Sugandha Sharma, Aidan Curtis, Marta Kryven, Josh Tenenbaum, Ila Fiete

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Gradient-trained Weights in Wide Neural Networks Align Layerwise to Error-scaled Input Correlations.

Akhilan Boopathy, Ila Fiete

CoRR, 2021

Efficient online inference for nonparametric mixture models.

Rylan Schaeffer, Blake Bordelon, Mikail Khona, Weiwei Pan, Ila Rani Fiete

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020

Efficient and flexible representation of higher-dimensional cognitive variables with grid cells.

Mirko Klukas, Marcus Lewis, Ila Fiete

PLoS Comput. Biol., 2020

Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice.

Rylan Schaeffer, Mikail Khona, Leenoy Meshulam, International Brain Laboratory, Ila Fiete

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Bipartite expander Hopfield networks as self-decoding high-capacity error correcting codes.

Rishidev Chaudhuri, Ila Fiete

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Kernel RNN Learning (KeRNL).

Christopher Roth, Ingmar Kanitscheider, Ila Fiete

Proceedings of the 7th International Conference on Learning Representations, 2019

2017

Associative content-addressable networks with exponentially many robust stable states.

Rishidev Chaudhuri, Ila Fiete

CoRR, 2017

Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems.

Ingmar Kanitscheider, Ila Fiete

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Multi-periodic neural coding for adaptive information transfer.

Yongseok Yoo, Onur Ozan Koyluoglu, Sriram Vishwanath, Ila Fiete

Theor. Comput. Sci., 2016

2012

Dynamic shift-map coding with side information at the decoder.

Yongseok Yoo, Onur Ozan Koyluoglu, Sriram Vishwanath, Ila Fiete

Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2009

Accurate Path Integration in Continuous Attractor Network Models of Grid Cells.

Yoram Burak, Ila R. Fiete

PLoS Comput. Biol., 2009