People in Deep Learning

647 researchers

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Richard Gao
Goethe University · as of Oct 2025 · +1 institution
1 talk · 6 posters · 1 podcast episode
Latest · Oct 2, 2025
AutoMIND: Deep inverse models for revealing neural circuit invariances
Jochen Triesch
FIAS Frankfurt Institute for Advanced Studies · as of Feb 2026 · +1 institution
2 talks · 6 posters
Latest · Feb 11, 2026
Predictive Coding Light
SueYeon Chung
Harvard University & Flatiron Institute · as of Nov 2026 · +5 institutions
3 talks · 1 workshop · 6 posters
Latest · Mar 27, 2025
Orthogonal line attractors in the monkey frontoparietal cortex and RNNs support hierarchical decisions
Adrien Peyrache
Mc Gill · as of Jan 2026 · +2 institutions
2 talks · 17 posters
Latest · Jan 21, 2026
Building and Using a Cognitive Map
Francisco Acosta
1 workshop · 1 poster
Next · Dec 11, 2026
NeurReps 2026: Symmetry and Geometry in Neural Representations
Nina Miolane
University of California, Santa Barbara · as of Mar 2025
1 workshop · 2 posters
Next · Dec 11, 2026
NeurReps 2026: Symmetry and Geometry in Neural Representations
Alex Williams
NYU / Flatiron Institute · as of Nov 2026 · +2 institutions
1 talk · 1 workshop · 5 posters
Next · Dec 12, 2026
UniReps 2026: Unifying Representations in Neural Models
Nanda H. Krishna
Mila · as of Nov 2026
1 workshop · 3 posters
Next · Dec 12, 2026
Foundation Models for the Brain and Body (NeurIPS 2026 Workshop)
Blake Bordelon
Harvard University · as of Nov 2023
1 talk · 5 posters
Latest · Mar 27, 2025
Dynamically Learning to Remember in Recurrent Neural Networks
Andreas Tolias
Baylor College of Medicine · as of Mar 2023
1 talk · 5 posters · 2 podcast episodes
Latest · Feb 1, 2025
On neuroscience foundation models - with Andreas Tolias - #24
Katrin Franke
Byers Eye Institute, Department of Ophthalmology, Stanford Medicine · as of Jun 2024 · +1 institution
2 talks · 3 posters
Latest · Sep 29, 2024
Generalizing deep neural network model captures the functional organization of feature selective retinal ganglion cell axonal boutons in the superior colliculus
Chethan Pandarinath
Emory, Georgia Tech · as of Nov 2026 · +4 institutions
3 talks · 1 workshop · 3 posters
Next · Dec 12, 2026
Foundation Models for the Brain and Body (NeurIPS 2026 Workshop)
Jakob Macke
Tubingen University · as of Dec 2025 · +2 institutions
2 talks · 24 posters
Latest · Mar 27, 2025
Deep inverse modeling reveals dynamic-dependent invariances in neural circuit mechanisms
Janne Lappalainen
University of Tübingen and Max Planck Research School for Intelligent Systems · as of Feb 2025
1 talk · 6 posters
Latest · Sep 29, 2024
Connectome and task predict neural activity across the fly visual system
Srinivas Turaga
HHMI · as of May 2024 · +1 institution
2 talks · 5 posters · 1 podcast episode
Latest · Sep 29, 2024
Connectome and task predict neural activity across the fly visual system
Zohar Ringel
Hebrew University of Jerusalem · as of Oct 2026
3 talks
Latest · Oct 7, 2026
Big Boxes, Not Black Boxes: What we can compute about LLMs, and what it may say about AGI
Auguste Schulz
4 posters
Latest · Mar 27, 2025
Deep inverse modeling reveals dynamic-dependent invariances in neural circuit mechanisms
Bing Brunton
University of Washington, USA · as of Mar 2025 · +1 institution
1 talk · 1 conference · 11 posters
Latest · Mar 27, 2025
Deep imitation learning for neuromechanical control: realistic walking in an embodied fly
Elliott Abe
University of Oregon · as of Mar 2023
6 posters
Latest · Mar 27, 2025
Deep imitation learning for neuromechanical control: realistic walking in an embodied fly
Felix Pei
5 posters
Latest · Mar 27, 2025
Inferring stochastic low-rank recurrent neural networks from neural data

Researchers