People in Machine Learning

954 researchers

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N Alex Cayco Gajic
École Normale Supérieure · as of Oct 2026
2 talks · 1 conference · 1 workshop · 7 posters
Next · Nov 25, 2026
NeuralNet 2026: 15th Annual Meeting of the GDR NeuralNet
Friedemann Zenke
Friedrich Miescher Institute for Biomedical Research, Basel · as of May 2021
1 talk · 1 workshop · 6 posters · 1 podcast episode
Next · Nov 4, 2026
SNUFA 2026
Jakob Macke
Tubingen University · as of Dec 2025 · +2 institutions
2 talks · 24 posters
Latest · Dec 17, 2025
Learning mechanistic models that link cells, circuits, and computations
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
Dan Goodman
Imperial College London · as of Feb 2025 · +1 institution
3 talks · 1 workshop · 4 posters
Next · Nov 4, 2026
SNUFA 2026
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
Kim Stachenfeld
DeepMind, Columbia U · as of Jul 2025 · +2 institutions
5 talks · 2 podcast episodes
Latest · Jul 9, 2025
Understanding reward-guided learning using large-scale datasets
Mihai Petrovici
University of Bern · as of Oct 2026
1 workshop · 5 posters · 1 podcast episode
Next · Nov 4, 2026
SNUFA 2026
Max Welling
Amsterdam Machine Learning Lab, University of Amsterdam · as of Oct 2026
1 conference · 1 poster · 1 podcast episode
Next · Nov 24, 2026
AI for Science Summit 2026
Maneesh Sahani
University College London · as of Oct 2026 · +1 institution
1 talk · 1 conference · 4 posters
Next · Nov 25, 2026
Breaking Topics in AI Conference 2026
Kanaka Rajan
Harvard Medical School · as of Mar 2025 · +2 institutions
6 talks · 9 posters
Latest · Mar 27, 2025
ForageWorld: RL agents in complex foraging arenas develop internal maps for navigation and planning
SueYeon Chung
Harvard University & Flatiron Institute · as of Oct 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
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
Larry Abbott
Columbia University · as of Nov 2024
4 talks · 13 posters
Latest · Nov 30, 2024
The Brain Prize winners' webinar
Memming Park
Champalimaud Foundation · as of Nov 2024
1 talk · 5 posters
Latest · Nov 27, 2024
Back to the Continuous Attractor
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
Manuel Beiran
Zuckerman Institute, Columbia University, Center for Theoretical Neuroscience, New York, NY 10027, USA · as of Sep 2024 · +3 institutions
2 talks · 4 posters
Latest · Sep 29, 2024
Unraveling perceptual biases: Insights from spiking recurrent neural networks
Chethan Pandarinath
Emory, Georgia Tech · as of Oct 2026 · +4 institutions
3 talks · 1 workshop · 3 posters
Next · Dec 12, 2026
Foundation Models for the Brain and Body (NeurIPS 2026 Workshop)
Mehdi Azabou
Constellation · as of Oct 2026
1 talk · 1 workshop · 1 poster
Next · Dec 12, 2026
Foundation Models for the Brain and Body (NeurIPS 2026 Workshop)
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
Bridging biophysics and computation with differentiable simulation

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