- Grid Cell-Inspired Fragmentation and Recall for Efficient Map Building. Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete. TMLR 2024 (Featured Certification) [Code]
- Neuro-Inspired Efficient Map Building via Fragmentation and Recall. Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete. arXiv:2310.17537 [Code]
- Model-Agnostic Measure of Generalization Difficulty. Akhilan Boopathy, Kevin Liu, Jaedong Hwang, Shu Ge, Asaad Mohammedsaleh, Ila Fiete. ICML. 2023 [Code]
- No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit. Rylan Schaeffer, Mikail Khona, Ila Fiete. NeurIPS 2022 [Code]
- How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective. Akhilan Boopathy, Ila Fiete. ICML 2022 [Code]
- Streaming Inference for Infinite Feature Models. Rylan Schaeffer, Yilun Du, Gabrielle K Liu, Ila Fiete. ICML 2022 [Code]
- Efficient Online Inference for Nonparametric Mixture Models. Rylan Schaeffer, Blake Bordelon, Mikail Khona, Weiwei Pan, Ila Rani Fiete. UAI 2021 [Code]
- 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 2020 [Code]
- Systematic errors in connectivity inferred from activity in strongly recurrent networks. Abhranil Das, and Ila R. Fiete. Nature Neuroscience 2020 [Code]
FieteLab
Fiete Lab @ MIT
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NeurIPS-2022-No-Free-Lunch
NeurIPS-2022-No-Free-Lunch PublicCode for NeurIPS 2022 No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit
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- FARCuriosity Public
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity
FieteLab/FARCuriosity’s past year of commit activity - neural-circuit-inference Public Forked from abhranildas/neural-circuit-inference
Code for paper: Systematic errors in connectivity inferred from activity in strongly recurrent networks [Das & Fiete 2020] (https://www.nature.com/articles/s41593-020-0699-2)
FieteLab/neural-circuit-inference’s past year of commit activity - inductive-bias-complexity Public
Code for "Model-agnostic Measure of Generalization Difficulty (ICML 2023)"
FieteLab/inductive-bias-complexity’s past year of commit activity - Wide-Network-Alignment Public
FieteLab/Wide-Network-Alignment’s past year of commit activity - NeurIPS-2022-No-Free-Lunch Public
Code for NeurIPS 2022 No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit
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