Ila Fiete
14 papers · 2017–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
π Academic Marathon Β· Sprint π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Bronze πΊοΈ Taxonomy Completionist (32)
π
Keyword Champion
(2)
π
Trend Setter
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(79)
Venues
Top co-authors
Research topics
Machine Learning
(13)
Deep Learning
(9)
Core Methods
(8)
Artificial Intelligence
(7)
Interdisciplinary
(7)
Optimization & Theory
(7)
Architectures
(6)
Core AI
(6)
Science
(5)
Learning Types Β· Machine Learning
(4)
Cognitive Science
(3)
Learning Types Β· Deep Learning
(3)
Computer Vision
(2)
Learning Paradigms
(2)
Application Areas
(1)
Keywords
recurrent neural network
(5)
grid cell
(3)
representation learning
(3)
bayesian inference
(2)
self-supervised learning
(2)
deep learning
(2)
content-addressable memory
(2)
inductive bia
(2)
spatial navigation
(2)
neural network
(2)
dynamical system
(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)
Papers
Flexible Context-Driven Sensory Processing in Dynamical Vision Models
NeurIPS 2024
Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals
NeurIPS 2024
How Diffusion Models Learn to Factorize and Compose
NeurIPS 2024
Towards Exact Computation of Inductive Bias
IJCAI 2024
Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis
NeurIPS 2023
Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells
NeurIPS 2023
Content Addressable Memory Without Catastrophic Forgetting by Heteroassociation with a Fixed Scaffold
ICML 2022
How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective
ICML 2022
No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit
NeurIPS 2022
Streaming Inference for Infinite Feature Models
ICML 2022
Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice
NeurIPS 2020
Bipartite expander Hopfield networks as self-decoding high-capacity error correcting codes
NeurIPS 2019
Kernel RNN Learning (KeRNL)
ICLR 2019
Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems
NeurIPS 2017