About 20 results for "UCGzuiiLdQZu9wxDNJHO_JnA"

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PT54M23S

Clotilde Cucinotta - Advancing Ab Initio Molecular Dynamics for Electrified Interfaces

Institute for Pure & Applied Mathematics (IPAM)Oct 28, 2025

Kevin Ellis - Probabilistic Thinking in Language and Code - IPAM at UCLA

Institute for Pure & Applied Mathematics (IPAM)Dec 1, 2024

Michael Levin - Non-neural intelligence: biological architecture problem-solving in diverse spaces

Institute for Pure & Applied Mathematics (IPAM)Nov 25, 2024

Joshua Vogelstein - It's about time: learning in a dynamic world - IPAM at UCLA

Institute for Pure & Applied Mathematics (IPAM)Nov 23, 2024

Peter Shor - Scrambling Time and black holes - Green Family Lecture at IPAM at UCLA

Institute for Pure & Applied Mathematics (IPAM)Nov 23, 2024

Nikta Fakhri - Broken Symmetries in Living Matter - IPAM at UCLA

Institute for Pure & Applied Mathematics (IPAM)Nov 23, 2024

Tai-Danae Bradley - An Enriched Category Theory of Language - IPAM at UCLA

Institute for Pure & Applied Mathematics (IPAM)Nov 23, 2024

PT52M49S

Santosh Manicka - How might multiscale collectives ‘collect’ across scales? - IPAM at UCLA

Institute for Pure & Applied Mathematics (IPAM)Nov 21, 2024

PT52M16S

Daniel Blair - Dynamic Mechanical Phases in Active and Passive Fluids - IPAM at UCLA

Institute for Pure & Applied Mathematics (IPAM)Nov 20, 2024

Peter Shor - Quantum Computing - Green Family Lecture at IPAM at UCLA

Institute for Pure & Applied Mathematics (IPAM)Nov 2, 2024

PT50M36S

Norbert Schuch - Tensor networks and the negative sign problem - IPAM at UCLA

Institute for Pure & Applied Mathematics (IPAM)Feb 9, 2024

PT43M53S

Feng Pan - Arbitrary Tensor Network Algorithm: Theory, Methods and Applications - IPAM at UCLA

Institute for Pure & Applied Mathematics (IPAM)Feb 7, 2024

PT1H8M17S

Roman Orus - News on tensor Networks for machine learning and quantum computing simulation

Institute for Pure & Applied Mathematics (IPAM)Feb 6, 2024

3.8k

Nathan Wiebe - Quantum Machine Learning - IPAM at UCLA

Institute for Pure & Applied Mathematics (IPAM)Nov 23, 2023

Leonardo de Moura - The Lean proof assistant: introduction and challenges - IPAM at UCLA

Institute for Pure & Applied Mathematics (IPAM)Nov 22, 2023

Geordie Williamson - What can the working mathematician expect from deep learning? - IPAM at UCLA

Institute for Pure & Applied Mathematics (IPAM)Nov 22, 2023

Andrej Bauer - Formalizing invisible mathematics - IPAM at UCLA

Institute for Pure & Applied Mathematics (IPAM)Nov 1, 2023

Joshua Speagle - A Brief Introduction to Nested Sampling - IPAM at UCLA

Institute for Pure & Applied Mathematics (IPAM)Nov 23, 2021

Claire Tomlin: "Hamilton-Jacobi Methods in Robotics"

Institute for Pure & Applied Mathematics (IPAM)Nov 2, 2020

Stéphane Mallat: "Scattering Invariant Deep Networks for Classification, Pt. 1"

Institute for Pure & Applied Mathematics (IPAM)Nov 23, 2015