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← Authors

Ila Fiete

14 papers · 2017–2024 · 4 conferences · across top CS/AI conferences

Achievements

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+7 more ↓ 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🏃 Academic Marathon (7) 🐝 Cross-Pollinator (12)
🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🏃 Academic Marathon (7) 🏆 Keyword Champion (3) 💎 Century Club (14) 📈 Trend Setter 🗃️ Keyword Collector (76)

Conferences

NIPS (9) ICML (3) ICLR (1) IJCAI (1)

Top co-authors

Rylan Schaeffer (4) Abhiram Iyer (3) Mikail Khona (3) Sugandha Sharma (2) Mitchell Ostrow (2) Ingmar Kanitscheider (2) Akhilan Boopathy (2) Sarthak Chandra (2) Qiyao Liang (1) Ziming Liu (1)

Research topics

Deep Learning (1)

Keywords

recurrent neural network (4) representation learning (3) grid cell (3) self-supervised learning (2) bayesian inference (2) deep learning (2) spatial navigation (2) inductive bia (2) dynamical system (2) neural network (2) hopfield network (2) neural circuit (2) loss function optimization (1) catastrophic forgetting (1) knowledge distillation (1) neural tangent kernel (1) model compression (1) visual processing (1) neural network model (1) computational neuroscience (1)

Papers

Towards Exact Computation of Inductive Bias IJCAI 2024 Flexible Context-Driven Sensory Processing in Dynamical Vision Models NIPS 2024 How Diffusion Models Learn to Factorize and Compose NIPS 2024 Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals NIPS 2024 Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis NIPS 2023 Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells NIPS 2023 Content Addressable Memory Without Catastrophic Forgetting by Heteroassociation with a Fixed Scaffold ICML 2022 No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit NIPS 2022 Streaming Inference for Infinite Feature Models ICML 2022 How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective ICML 2022 Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice NIPS 2020 Bipartite expander Hopfield networks as self-decoding high-capacity error correcting codes NIPS 2019 Kernel RNN Learning (KeRNL) ICLR 2019 Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems NIPS 2017