People in Control Theory

95 researchers

Most varied Soonest event

Dmitri Chklovskii
Flatiron Institute · as of Feb 2024
Computational Neuroscience, Computer Science · 1 talk · 8 posters · 1 podcast episode
Latest podcast episode · Feb 12, 2025
BI 205 Dmitri Chklovskii: Neurons Are Smarter Than You Think
Guillaume Hennequin
University of Cambridge · as of May 2023
Mathematical Modeling, Deep Learning · 1 talk · 6 posters
Latest poster · Mar 27, 2025
A multi-area RNN model of adaptive motor control explains adaptation-induced reorganization of neural activity
Thiago Burghi
Biophysics, Mathematical Modeling · 2 posters
Latest poster · Sep 29, 2024
Neurons learn by predicting their synaptic inputs
Timothy O'Leary
University of Cambridge · as of May 2023
Computational Neuroscience, Biophysics · 1 talk · 5 posters · 1 podcast episode
Latest poster · Sep 29, 2024
Neurons learn by predicting their synaptic inputs
Calin Belta
University of Maryland — Electrical and Computer Engineering and Computer Science
Control Engineering, Robotics · 1 talk
Latest talk · Oct 27, 2026
Formal Methods for Safe and Interpretable Reinforcement Learning
Twinkle Tripathy
Indian Institute of Technology Kanpur
Sociology, Applied Mathematics · 1 talk
Latest talk · Oct 26, 2026
Influence Enhancement in Opinion Dynamics Using Edge Modification: A Kron Reduction-Based Approach
Susanne Yelin
Harvard University
Quantum Technology, Condensed Matter Physics · 1 talk
Latest talk · Oct 8, 2026
Unleashing Analog Quantum Computing
Maxim Raginsky
Applied Mathematics, Mathematics · 1 podcast episode
Latest podcast episode · Oct 7, 2026
BI 247 Maxim Raginsky: A Control Theory View on Brains and AI
Paul Middlebrooks
Computational Neuroscience, Cognition · 1 poster · 51 podcast episodes
Latest podcast episode · Oct 7, 2026
BI 247 Maxim Raginsky: A Control Theory View on Brains and AI
John G. Milton
The University of Texas at Austin
Classical Mechanics, Kinesiology · 1 talk
Latest talk · Oct 6, 2026
Human balance: Delays, sensory dead zones and micro-chaos!
Morten Kjaergaard
Niels Bohr Institute, University of Copenhagen
Control Engineering, Electrical Engineering · 1 talk
Latest talk · Oct 6, 2026
Superconducting qubit control on millisecond timescales: from rapid feedback to new qubit dynamics
Navid Azizan
Massachusetts Institute of Technology — Mechanical Engineering and Institute for Data, Systems & Society
Fluid Mechanics, Robotics · 1 talk
Latest talk · Sep 30, 2026
Machine Learning with Hard Constraints
Carles Domingo-Enrich
Microsoft Research
Computational Chemistry, Statistical Mechanics · 1 talk
Latest talk · Aug 5, 2026
Rare event analysis via stochastic optimal control
Yongxin Chen
Georgia Institute of Technology
Reinforcement Learning, Deep Learning · 1 talk
Latest talk · Aug 3, 2026
Efficient Reinforcement Learning for Diffusion Models
Nikita Rudin
Control Engineering, Robotics · 1 podcast episode
Latest podcast episode · Jan 8, 2026
Intelligent Robots in 2026: Are We There Yet?
Sam Charrington
Artificial Intelligence, Machine Learning · 36 podcast episodes
Latest podcast episode · Jan 8, 2026
Intelligent Robots in 2026: Are We There Yet?
Xaq Pitkow
Baylor College of Medicine, Rice University · as of Mar 2023
Computational Neuroscience, Machine Learning · 1 talk · 5 posters · 1 podcast episode
Latest podcast episode · Aug 27, 2025
BI 219 Xaq Pitkow: Principles and Constraints of Cognition
Adriano Borsa
Control Engineering, Optogenetics · 1 poster
Latest poster · Mar 27, 2025
An adaptive state-space control framework for driving decision variables
Akira Nagamori
Computational Mechanics, Biomechanics · 1 poster
Latest poster · Mar 27, 2025
Examining the impact of biomechanical actuation on neural representations for embodied control
Andrew Saxe
University College London · +2 institutions
Cognition, Computational Neuroscience · 1 workshop · 4 posters
Latest poster · Mar 27, 2025
An Analytical Theory of Cognitive Control of Learning

Researchers