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ORCIDIla Fiete
Person information
- affiliation: Massachusetts Institute of Technology, Cambridge, MA, USA
- affiliation (2008-2018): University of Texas at Austin, TX, USA
- affiliation (2006-2008): California Institute of Technology, Pasadena, CA, USA
- affiliation (PhD 2004): Harvard University, Cambridge, MA, USA
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2020 – today
- 2024
[i15]Qiyao Liang, Ziming Liu, Ila Fiete:
Do Diffusion Models Learn Semantically Meaningful and Efficient Representations? CoRR abs/2402.03305 (2024)- [i14]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:
Bridging Associative Memory and Probabilistic Modeling. CoRR abs/2402.10202 (2024) - 2023
- [j4]Mikail Khona, Sarthak Chandra, Joy J. Ma, Ila R. Fiete:
Winning the Lottery With Neural Connectivity Constraints: Faster Learning Across Cognitive Tasks With Spatially Constrained Sparse RNNs. Neural Comput. 35(11): 1850-1869 (2023) - [c16]Akhilan Boopathy, Kevin Liu, Jaedong Hwang, Shu Ge, Asaad Mohammedsaleh, Ila Fiete:
Model-agnostic Measure of Generalization Difficulty. ICML 2023: 2857-2884 - [c15]Mitchell Ostrow, Adam Eisen, Leo Kozachkov, Ila Fiete:
Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis. NeurIPS 2023 - [c14]Rylan Schaeffer, Mikail Khona, Tzuhsuan Ma, Cristóbal Eyzaguirre, Sanmi Koyejo, Ila Fiete:
Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells. NeurIPS 2023 - [i13]Rylan Schaeffer, Mikail Khona, Zachary Robertson, Akhilan Boopathy, Kateryna Pistunova, Jason W. Rocks, Ila Rani Fiete, Oluwasanmi Koyejo:
Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle. CoRR abs/2303.14151 (2023) - [i12]Akhilan Boopathy, Kevin Liu, Jaedong Hwang, Shu Ge, Asaad Mohammedsaleh, Ila Fiete:
Model-agnostic Measure of Generalization Difficulty. CoRR abs/2305.01034 (2023) - [i11]Mitchell Ostrow, Adam Eisen, Leo Kozachkov, Ila Fiete:
Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis. CoRR abs/2306.10168 (2023) - [i10]Andrew Kirjner, Jason Yim, Raman Samusevich, Tommi S. Jaakkola, Regina Barzilay, Ila Fiete:
Optimizing protein fitness using Gibbs sampling with Graph-based Smoothing. CoRR abs/2307.00494 (2023) - [i9]Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete:
Neuro-Inspired Efficient Map Building via Fragmentation and Recall. CoRR abs/2307.05793 (2023) - [i8]Ziming Liu, Mikail Khona, Ila R. Fiete, Max Tegmark:
Growing Brains: Co-emergence of Anatomical and Functional Modularity in Recurrent Neural Networks. CoRR abs/2310.07711 (2023) - [i7]Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete:
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity. CoRR abs/2310.17537 (2023) - [i6]Rylan Schaeffer, Mikail Khona, Tzuhsuan Ma, Cristóbal Eyzaguirre, Sanmi Koyejo, Ila Rani Fiete:
Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells. CoRR abs/2311.02316 (2023) - 2022
- [c13]Rylan Schaeffer, Gabrielle Kaili-May Liu, Yilun Du, Scott Linderman, Ila Rani Fiete:
Streaming Inference for Infinite Non-Stationary Clustering. CoLLAs 2022: 310-326 - [c12]Sugandha Sharma, Aidan Curtis, Marta Kryven, Joshua B. Tenenbaum, Ila R. Fiete:
Map Induction: Compositional spatial submap learning for efficient exploration in novel environments. ICLR 2022 - [c11]Akhilan Boopathy, Ila Fiete:
How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective. ICML 2022: 2178-2205 - [c10]Rylan Schaeffer, Yilun Du, Gabrielle K. Liu
, Ila Fiete:
Streaming Inference for Infinite Feature Models. ICML 2022: 19366-19387 - [c9]Sugandha Sharma, Sarthak Chandra, Ila R. Fiete:
Content Addressable Memory Without Catastrophic Forgetting by Heteroassociation with a Fixed Scaffold. ICML 2022: 19658-19682 - [c8]Sunny Duan, Mikail Khona, Adrian Bertagnoli, Sarthak Chandra, Ila Fiete:
See and Copy: Generation of complex compositional movements from modular and geometric RNN representations. NeurReps 2022: 388-400 - [c7]Rylan Schaeffer, Mikail Khona, Ila Fiete:
No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit. NeurIPS 2022 - [i5]Sugandha Sharma, Sarthak Chandra, Ila R. Fiete:
Content addressable memory without catastrophic forgetting by heteroassociation with a fixed scaffold. CoRR abs/2202.00159 (2022) - [i4]Rylan Schaeffer, Gabrielle Kaili-May Liu, Yilun Du, Scott Linderman, Ila Rani Fiete:
Streaming Inference for Infinite Non-Stationary Clustering. CoRR abs/2205.01212 (2022) - 2021
- [c6]Rylan Schaeffer, Blake Bordelon, Mikail Khona, Weiwei Pan, Ila Rani Fiete:
Efficient online inference for nonparametric mixture models. UAI 2021: 2072-2081 - [i3]Akhilan Boopathy, Ila Fiete:
Gradient-trained Weights in Wide Neural Networks Align Layerwise to Error-scaled Input Correlations. CoRR abs/2106.08453 (2021) - [i2]Sugandha Sharma, Aidan Curtis, Marta Kryven, Joshua B. Tenenbaum, Ila R. Fiete:
Map Induction: Compositional spatial submap learning for efficient exploration in novel environments. CoRR abs/2110.12301 (2021) - 2020
- [j3]Mirko Klukas, Marcus Lewis, Ila Fiete:
Efficient and flexible representation of higher-dimensional cognitive variables with grid cells. PLoS Comput. Biol. 16(4) (2020) - [c5]Rylan Schaeffer, Mikail Khona, Leenoy Meshulam, International Brain Laboratory, Ila Fiete:
Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice. NeurIPS 2020
2010 – 2019
- 2019
- [c4]Christopher Roth, Ingmar Kanitscheider, Ila Fiete:
Kernel RNN Learning (KeRNL). ICLR (Poster) 2019 - [c3]Rishidev Chaudhuri, Ila Fiete:
Bipartite expander Hopfield networks as self-decoding high-capacity error correcting codes. NeurIPS 2019: 7686-7697 - 2017
- [c2]Ingmar Kanitscheider, Ila Fiete:
Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems. NIPS 2017: 4529-4538 - [i1]Rishidev Chaudhuri, Ila Fiete:
Associative content-addressable networks with exponentially many robust stable states. CoRR abs/1704.02019 (2017) - 2016
- [j2]Yongseok Yoo, Onur Ozan Koyluoglu, Sriram Vishwanath, Ila Fiete:
Multi-periodic neural coding for adaptive information transfer. Theor. Comput. Sci. 633: 37-53 (2016) - 2012
- [c1]Yongseok Yoo, Onur Ozan Koyluoglu, Sriram Vishwanath, Ila Fiete:
Dynamic shift-map coding with side information at the decoder. Allerton Conference 2012: 632-639
2000 – 2009
- 2009
- [j1]Yoram Burak, Ila R. Fiete:
Accurate Path Integration in Continuous Attractor Network Models of Grid Cells. PLoS Comput. Biol. 5(2) (2009)
Coauthor Index
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last updated on 2024-04-25 02:29 CEST by the dblp team
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