Matej Trödler
University of Vienna · on a workshop, Nov 2026
1 workshop · Applied Mathematics, Artificial Intelligence, Machine Learning
Next: Numerical Stability in Deep Learning · Nov 2, 2026
People in Machine Learning
Michael Dietze
Boston University, US · on a conference, Nov 2026
1 conference · Climate Science, Conservation Ecology, Ecology
Next: Forecasting ecological dynamics in a changing world, a critical discussion · Nov 2, 2026
Owen Petchey
University of Zurich, Switzerland · on a conference, Nov 2026
1 conference · Climate Science, Conservation Ecology, Ecology
Next: Forecasting ecological dynamics in a changing world, a critical discussion · Nov 2, 2026
Pablo de Oliveira Castro
University of Versailles · on a workshop, Nov 2026
1 workshop · Applied Mathematics, Artificial Intelligence, Machine Learning
Next: Numerical Stability in Deep Learning · Nov 2, 2026
Paul Geuchen
Utrecht University · on a workshop, Nov 2026
1 workshop · Applied Mathematics, Artificial Intelligence, Machine Learning
Next: Numerical Stability in Deep Learning · Nov 2, 2026
Philipp Petersen
University of Vienna · on a workshop, Nov 2026
1 workshop · Applied Mathematics, Artificial Intelligence, Machine Learning
Next: Numerical Stability in Deep Learning · Nov 2, 2026
Rossen Nenov
ARI – ÖAW · on a workshop, Nov 2026
1 workshop · Applied Mathematics, Artificial Intelligence, Machine Learning
Next: Numerical Stability in Deep Learning · Nov 2, 2026
Silviu-Ioan Filip
INRIA · on a workshop, Nov 2026
1 workshop · Applied Mathematics, Artificial Intelligence, Machine Learning
Next: Numerical Stability in Deep Learning · Nov 2, 2026
Stéphanie Jenouvrier
Woods Hole Oceanographic Institution, US · on a conference, Nov 2026
1 conference · Climate Science, Conservation Ecology, Ecology
Next: Forecasting ecological dynamics in a changing world, a critical discussion · Nov 2, 2026
Theo Beuzeville
University of Edinburgh · on a workshop, Nov 2026
1 workshop · Applied Mathematics, Artificial Intelligence, Machine Learning
Next: Numerical Stability in Deep Learning · Nov 2, 2026
Ying Hong Tham
Huawei · on a workshop, Nov 2026
1 workshop · Applied Mathematics, Artificial Intelligence, Machine Learning
Next: Numerical Stability in Deep Learning · Nov 2, 2026
Mihai Petrovici
University of Bern · on a workshop, Nov 2026
1 workshop · 2 posters · 1 podcast episode · Computational Neuroscience, Machine Learning, Neuroscience
Next: SNUFA 2026 · Nov 4, 2026
Latest: On neuromorphic computing - with Mihai Petrovici · Sep 23, 2026
Dan Goodman
Imperial College London · on 2 talks, 2021 – Feb 2025 · 1 other affiliation
3 talks · 1 workshop · 4 posters · Neuroscience, Computational Neuroscience, Machine Learning
Next: SNUFA 2026 · Nov 4, 2026
Latest: Neural architectures: what are they good for anyway? · Feb 12, 2025
Eugene Izhikevich
Brain Corp and DeepSpike · on a workshop, Nov 2026
1 workshop · Computational Neuroscience, Machine Learning, Neuroscience
Next: SNUFA 2026 · Nov 4, 2026
Friedemann Zenke
Friedrich Miescher Institute for Biomedical Research, Basel · on a talk, May 2021
1 talk · 1 workshop · 4 posters · 1 podcast episode · Computational Neuroscience, Neuroscience, Machine Learning
Next: SNUFA 2026 · Nov 4, 2026
Latest: Efficient cortical spike train decoding for brain-machine interface implants with recurrent spiking neural networks · Sep 29, 2024
Giulia D’Angelo
Czech Technical University in Prague · on a workshop, Nov 2026
1 workshop · Computational Neuroscience, Machine Learning, Neuroscience
Next: SNUFA 2026 · Nov 4, 2026
1 workshop · Computational Neuroscience, Machine Learning, Neuroscience
Next: SNUFA 2026 · Nov 4, 2026
1 workshop · 2 posters · 1 podcast episode · Computational Neuroscience, Neuroscience, Dynamical Systems
Next: SNUFA 2026 · Nov 4, 2026
Latest: Reconsideration of local spatial connectivity and target specificity in the cortical microcircuit based on volumetric reconstruction · Sep 29, 2024
Susanne Schreiber
Humboldt University · on a workshop, Nov 2026 · 1 other affiliation
1 talk · 1 workshop · 5 posters · Neuroscience, Computational Neuroscience, Dynamical Systems
Next: SNUFA 2026 · Nov 4, 2026
Latest: Cellular action potential generation: a key player in setting the network state · Sep 29, 2024
Stephanie Gil
Harvard University — School of Engineering and Applied Sciences; Kempner Institute · on a talk, Nov 2026
1 talk · Control Theory, Machine Learning, Reinforcement Learning
Next: Trust, Sensing, and Learning for Provable Multi-Robot Performance · Nov 5, 2026