Jonas Buchli & Federico Felici: Magnetic control of tokamak plasmas with deep reinforcement learning
52:24
Jonas Buchli & Federico Felici: Magnetic control of tokamak plasmas with deep reinforcement learning
Arvind Neelakantan: Text and Code Embeddings
36:36
Arvind Neelakantan: Text and Code Embeddings
Séamus Davis: Machine learning in electronic-quantum-matter imaging experiments
52:52
Séamus Davis: Machine learning in electronic-quantum-matter imaging experiments
Mikhail Belkin: From classical statistics to modern deep learning
58:01
Mikhail Belkin: From classical statistics to modern deep learning
Eliu Huerta: AI for Science: Let’s talk business
50:32
Eliu Huerta: AI for Science: Let’s talk business
Bin Yu: Interpreting Deep Neural Networks towards Trustworthiness
1:10:52
Bin Yu: Interpreting Deep Neural Networks towards Trustworthiness
Sonia Contera: It from bit? The future of bioinspired computing beyond ML
1:12:47
Sonia Contera: It from bit? The future of bioinspired computing beyond ML
Huilin Qu: Jet Tagging in the Era of Deep Learning
1:01:24
Huilin Qu: Jet Tagging in the Era of Deep Learning
Stéphane Mallat: Hamiltonian Estimations by Conditional Renormalisation Group and Convolution Nets
57:15
Stéphane Mallat: Hamiltonian Estimations by Conditional Renormalisation Group and Convolution Nets
Craig Mundie: Artificial General Intelligence - The Advent of Polymathic Machines
1:18:06
Craig Mundie: Artificial General Intelligence - The Advent of Polymathic Machines
Nathan Kutz: The Future of Governing Equations
1:00:22
Nathan Kutz: The Future of Governing Equations
Tim Green: Highly accurate protein structure prediction with AlphaFold
1:21:31
Tim Green: Highly accurate protein structure prediction with AlphaFold
Ricardo Vinuesa: Artificial Intelligence, Computational Fluid Dynamics, and Sustainability
46:04
Ricardo Vinuesa: Artificial Intelligence, Computational Fluid Dynamics, and Sustainability
Andrew Stuart: Learning Solution Operators for PDEs
1:14:43
Andrew Stuart: Learning Solution Operators for PDEs
Rachel Prudden: Probabilistic modelling for atmospheric science: beyond the noise
1:00:26
Rachel Prudden: Probabilistic modelling for atmospheric science: beyond the noise
Laure Zanna: Climate Modeling in the Age of Machine Learning
56:25
Laure Zanna: Climate Modeling in the Age of Machine Learning
Tom Andersson: Seasonal Arctic sea ice forecasting with probabilistic deep learning
58:10
Tom Andersson: Seasonal Arctic sea ice forecasting with probabilistic deep learning
Adrien Gaidon: Self-supervised 3D vision
59:35
Adrien Gaidon: Self-supervised 3D vision
Steve Oberlin: HPC + AI: How Learned Models Are Revolutionizing Scientific Simulation
1:33:07
Steve Oberlin: HPC + AI: How Learned Models Are Revolutionizing Scientific Simulation
David Spergel: Determining the Universe’s Initial Conditions
1:08:38
David Spergel: Determining the Universe’s Initial Conditions
Lode Pollet: Discovering new phases of matter with unsupervised and interpretable SVMs
53:52
Lode Pollet: Discovering new phases of matter with unsupervised and interpretable SVMs
Michael Kagan: Generative Model Based Design Optimization and Unfolding
1:08:36
Michael Kagan: Generative Model Based Design Optimization and Unfolding
Sofia Vallecorsa: Quantum Machine Learning in High Energy Physics
1:03:31
Sofia Vallecorsa: Quantum Machine Learning in High Energy Physics
Ard Louis: Deep neural networks have an inbuilt Occam’s razor
1:15:06
Ard Louis: Deep neural networks have an inbuilt Occam’s razor
Jascha Sohl-Dickstein: Understanding overparameterized neural networks
1:18:23
Jascha Sohl-Dickstein: Understanding overparameterized neural networks
Atılım Güneş Baydin: Probabilistic Programming for Inverse Problems in the Physical Sciences
1:11:23
Atılım Güneş Baydin: Probabilistic Programming for Inverse Problems in the Physical Sciences
Roger Melko: Reconstructing quantum states with generative models
1:08:29
Roger Melko: Reconstructing quantum states with generative models
Phiala Shanahan: Provably exact sampling for first-principles theoretical physics
1:00:33
Phiala Shanahan: Provably exact sampling for first-principles theoretical physics
Victor Bapst: Unveiling the predictive power of static structure in glassy systems
59:29
Victor Bapst: Unveiling the predictive power of static structure in glassy systems
Giuseppe Carleo: Many-body quantum wave functions in the era of machine learning
59:30
Giuseppe Carleo: Many-body quantum wave functions in the era of machine learning