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Craig Plaisance - Modeling Electrocatalysis Without the Pain: Past, Present, and Future
Presenter
- Craig Plaisance
October 6, 2025
IPAM
Accurate and Scalable Processing of Big Data in Earth Observation
Presenter
- Begüm Demir
October 16, 2018
IPAM
Covariant neural network architectures for learning physics
Presenter
- Risi Kondor
November 18, 2019
IPAM
Building a Gaussian Process Statistical and Quantitative Learning Framework for Scientific Applications
Presenter
- Xiaoye Li
September 13, 2025
ICERM
Another Look at DWD: Thrifty Algorithm and Bayes Risk Consistency in RHS
Presenter
- Hui Zou
September 22, 2015
IMA
Public Lecture: AI Breakthroughs & Obstacles to Progress, Mathematical and Otherwise
Presenter
- Yann LeCun
February 6, 2018
IPAM
Adam Wagner - Finding counterexamples to conjectures via reinforcement learning - IPAM at UCLA
Presenter
- Adam Wagner
February 14, 2023
IPAM
Public Lecture: Deep Learning and the Future of Artificial Intelligence
Presenter
- Yann LeCun
February 5, 2018
IPAM
Convex Set Disjointness, Distributed Learning of Halfspaces, and Linear Programming
Presenter
- Shay Moran
May 12, 2020
IAS
Pascal Fontaine - SMT: quantifiers, and future prospects - IPAM at UCLA
Presenter
- Pascal Fontaine
February 16, 2023
IPAM