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Erik Winfree - Equilibrium is inference: lessons from a model of liquid-liquid phase separation
Presenter
- Erik Winfree
November 7, 2024
IPAM
Dan Roy - Size of Teachers as Measure of Data Complexity: PAC-Bayes Excess Risk Bounds & Scaling Law
Presenter
- Dan Roy
October 16, 2024
IPAM
Shaowei Lin - Singular Learning, Relative Information and the Dual Numbers - IPAM at UCLA
Presenter
- Shaowei Lin
October 16, 2024
IPAM
Blake Bordelon - Infinite limits and scaling laws of neural networks - IPAM at UCLA
Presenter
- Blake Bordelon
October 16, 2024
IPAM
Jelena Diakonikolas - Robust Learning of a Neuron: Bridging Computational Gaps Using Optimization
Presenter
- Jelena Diakonikolas
February 29, 2024
IPAM
Hot Topics: Recent Progress in Deterministic and Stochastic Fluid-Structure Interaction: "On Self-Propulsion by Oscillations in a Viscous Liquid"
Presenter
- Giovanni Galdi
December 4, 2023
SLMath
Tongyang Li - On Quantum Speedups for Nonconvex Optimization via Quantum Tunneling Walks
Presenter
- Tongyang Li
October 18, 2023
IPAM
Neuro-Causal Factor Analysis: Structure learning and identifiability
Presenter
- Alex Markham
October 10, 2023
IMSI