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Maxim Ziatdinov - From Human-Centric to AI-Driven Experimentation Workflows for Materials
Presenter
- Maxim Ziatdinov
May 2, 2023
IPAM
Tracking trajectories in Hamiltonian systems using holomorphic curve tools.
Presenter
- Barney Bramham
March 18, 2019
IAS
Tuca Auffinger - Open Mathematical Problems in Manifold Learning for Single-Cell Data - IPAM at UCLA
Presenter
- Tuca Auffinger
February 24, 2026
IPAM
Deep Learning Dive into the Scanning Transmission Electron Microscopy: Materials Design, Learning Physics, and Atomic Manipulation
Presenter
- Sergei Kalinin
October 17, 2019
IPAM
Simulation-based Approaches for Traffic Estimation and Prediction in Networks: Models and Applications
Presenter
- Hani Mahmassani
October 12, 2015
IPAM
Estimation with Norm Regularization: A Geometric Perspective
Presenter
- Arindam Banerjee
October 13, 2015
IMA
Aishni Parab - Extracting Structured Data from Multi-Modal Input - IPAM at UCLA
Presenter
- Aishni Parab
November 7, 2024
IPAM
Algebraic techniques for incidence problems: Consumer report
Presenter
- Micha Sharir
March 24, 2014
IPAM
Randomization, Neutrality, and Fairness: "Sampling, Optimization, and Evaluating Tradeoffs in Redistricting"
Presenter
- Daryl DeFord
October 26, 2023
SLMath
MOR meets ML: A general framework and what we can learn from it
Presenter
- Benjamin Unger
January 10, 2025
ICERM
Bobak Toussi Kiani - Slow Mixing of Quantum Gibbs Samplers - IPAM at UCLA
Presenter
- Bobak Toussi Kiani
April 2, 2025
IPAM