Ila Fiete - RankMe

43 papers A* 13B 1Journal 25Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Blessing of Dimensionality in LLM Fine-tuning: A Variance-Curvature Perspective. CoRR Qiyao Liang, Jinyeop Song, Yizhou Liu, Jeff Gore, Ila Fiete, Risto Miikkulainen, Xin Qiu
2025	J	`jnl`	Compositional Generalization Requires More Than Disentangled Representations. CoRR Qiyao Liang, Daoyuan Qian, Liu Ziyin, Ila Fiete
2025	J	`jnl`	Fast dynamical similarity analysis. CoRR Arman Behrad, Mitchell Ostrow, Mohammad Taha Fakharian, Ila Fiete, Christian Beste, Shervin Safavi
2025	J	`jnl`	InputDSA: Demixing then Comparing Recurrent and Externally Driven Dynamics. CoRR Ann Huang, Mitchell Ostrow, Satpreet H. Singh, Leo Kozachkov, Ila Fiete, Kanaka Rajan
2025	J	`jnl`	Key-value memory in the brain. CoRR Samuel J. Gershman, Ila Fiete, Kazuki Irie
2025	J	`jnl`	Learn Globally, Speak Locally: Bridging the Gaps in Multilingual Reasoning. CoRR Jaedong Hwang, Kumar Tanmay, Seok-Jin Lee, Ayush Agrawal, Hamid Palangi, Kumar Ayush, Ila Fiete, Paul Pu Liang
2025	J	`jnl`	Modular connectivity in neural networks emerges from Poisson noise-motivated regularisation, and promotes robustness and compositional generalisation. CoRR Daoyuan Qian, Qiyao Liang, Ila Fiete
2024	J	`jnl`	Breaking Neural Network Scaling Laws with Modularity. CoRR Akhilan Boopathy, Sunshine Jiang, William Yue, Jaedong Hwang, Abhiram Iyer, Ila Fiete
2024	J	`jnl`	Delay Embedding Theory of Neural Sequence Models. CoRR Mitchell Ostrow, Adam Eisen, Ila Fiete
2024	J	`jnl`	Do Diffusion Models Learn Semantically Meaningful and Efficient Representations? CoRR Qiyao Liang, Ziming Liu, Ila Fiete
2024	A*	`conf`	Flexible Context-Driven Sensory Processing in Dynamical Vision Models. NeurIPS Lakshmi Narasimhan Govindarajan, Abhiram Iyer, Valmiki Kothare, Ila Fiete
2024	A*	`conf`	Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals. NeurIPS Abhiram Iyer, Sarthak Chandra, Sugandha Sharma, Ila Fiete
2024	A*	`conf`	How Diffusion Models Learn to Factorize and Compose. NeurIPS Qiyao Liang, Ziming Liu, Mitchell Ostrow, Ila Fiete
2024	J	`jnl`	How Diffusion Models Learn to Factorize and Compose. CoRR Qiyao Liang, Ziming Liu, Mitchell Ostrow, Ila Fiete
2024	J	`jnl`	ImageNet-RIB Benchmark: Large Pre-Training Datasets Don't Guarantee Robustness after Fine-Tuning. CoRR Jaedong Hwang, Brian Cheung, Zhang-Wei Hong, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete
2024	J	`jnl`	Permutation Invariant Learning with High-Dimensional Particle Filters. CoRR Akhilan Boopathy, Aneesh Muppidi, Peggy Yang, Abhiram Iyer, William Yue, Ila Fiete
2024	A*	`conf`	Resampling-free Particle Filters in High-dimensions. ICRA Akhilan Boopathy, Aneesh Muppidi, Peggy Yang, Abhiram Iyer, William Yue, Ila Fiete
2024	J	`jnl`	Resampling-free Particle Filters in High-dimensions. CoRR Akhilan Boopathy, Aneesh Muppidi, Peggy Yang, Abhiram Iyer, William Yue, Ila Fiete
2024	A*	`conf`	Towards Exact Computation of Inductive Bias. IJCAI Akhilan Boopathy, William Yue, Jaedong Hwang, Abhiram Iyer, Ila Fiete
2024	J	`jnl`	Towards Exact Computation of Inductive Bias. CoRR Akhilan Boopathy, William Yue, Jaedong Hwang, Abhiram Iyer, Ila Fiete
2024	J	`jnl`	Unified Neural Network Scaling Laws and Scale-time Equivalence. CoRR Akhilan Boopathy, Ila Fiete
2023	A*	`conf`	Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis. NeurIPS Mitchell Ostrow, Adam Eisen, Leo Kozachkov, Ila Fiete
2023	J	`jnl`	Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis. CoRR Mitchell Ostrow, Adam Eisen, Leo Kozachkov, Ila Fiete
2023	A*	`conf`	Model-agnostic Measure of Generalization Difficulty. ICML Akhilan Boopathy, Kevin Liu, Jaedong Hwang, Shu Ge, Asaad Mohammedsaleh, Ila Fiete
2023	J	`jnl`	Model-agnostic Measure of Generalization Difficulty. CoRR Akhilan Boopathy, Kevin Liu, Jaedong Hwang, Shu Ge, Asaad Mohammedsaleh, Ila Fiete
2023	J	`jnl`	Neuro-Inspired Efficient Map Building via Fragmentation and Recall. CoRR Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete
2023	J	`jnl`	Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity. CoRR Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete
2023	J	`jnl`	Optimizing protein fitness using Gibbs sampling with Graph-based Smoothing. CoRR Andrew Kirjner, Jason Yim, Raman Samusevich, Tommi S. Jaakkola, Regina Barzilay, Ila Fiete
2023	A*	`conf`	Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells. NeurIPS Rylan Schaeffer, Mikail Khona, Tzuhsuan Ma, Cristóbal Eyzaguirre, Sanmi Koyejo, Ila Fiete
2022	B	`conf`	Efficient exploration of spatial environments through Map Induction using adaptable compositional map representations. CogSci Sugandha Sharma, Aidan Curtis, Marta Kryven, Josh Tenenbaum, Ila Fiete
2022	A*	`conf`	How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective. ICML Akhilan Boopathy, Ila Fiete
2022	A*	`conf`	No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit. NeurIPS Rylan Schaeffer, Mikail Khona, Ila Fiete
2022	—	`conf`	See and Copy: Generation of complex compositional movements from modular and geometric RNN representations. NeurReps Sunny Duan, Mikail Khona, Adrian Bertagnoli, Sarthak Chandra, Ila Fiete
2022	A*	`conf`	Streaming Inference for Infinite Feature Models. ICML Rylan Schaeffer, Yilun Du, Gabrielle K. Liu, Ila Fiete
2021	J	`jnl`	Gradient-trained Weights in Wide Neural Networks Align Layerwise to Error-scaled Input Correlations. CoRR Akhilan Boopathy, Ila Fiete
2020	J	`jnl`	Efficient and flexible representation of higher-dimensional cognitive variables with grid cells. PLoS Comput. Biol. Mirko Klukas, Marcus Lewis, Ila Fiete
2020	A*	`conf`	Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice. NeurIPS Rylan Schaeffer, Mikail Khona, Leenoy Meshulam, International Brain Laboratory, Ila Fiete
2019	A*	`conf`	Bipartite expander Hopfield networks as self-decoding high-capacity error correcting codes. NeurIPS Rishidev Chaudhuri, Ila Fiete
2019	—	`conf`	Kernel RNN Learning (KeRNL). ICLR (Poster) Christopher Roth, Ingmar Kanitscheider, Ila Fiete
2017	J	`jnl`	Associative content-addressable networks with exponentially many robust stable states. CoRR Rishidev Chaudhuri, Ila Fiete
2017	—	`conf`	Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems. NIPS Ingmar Kanitscheider, Ila Fiete
2016	J	`jnl`	Multi-periodic neural coding for adaptive information transfer. Theor. Comput. Sci. Yongseok Yoo, Onur Ozan Koyluoglu, Sriram Vishwanath, Ila Fiete
2012	—	`conf`	Dynamic shift-map coding with side information at the decoder. Allerton Conference Yongseok Yoo, Onur Ozan Koyluoglu, Sriram Vishwanath, Ila Fiete