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ML Without Unnecessary Harm: Blind Pareto Fairness and Subgroup Robustness
Presenter
- Guillermo Sapiro
July 6, 2021
ICERM
Toward predictive digital twins: From physics-based modeling to scientific machine learning
Presenter
- Karen Willcox
October 8, 2020
IMSI
Low-rank matrix recovery from quantized or count observations
Presenter
- Mark Davenport
September 11, 2020
IAS
Deep Learning: Triangle Machine Learning Day - Machine Learning for 3D Imaging, Sayan Mukherjee
September 20, 2019
SAMSI
High-throughput Data and New representations for Models and Machine Learning
Presenter
- Gus Hart
February 24, 2015
IPAM
Nidhi Rajput - MISPR: Open-Source Framework for Electrolyte and Electrode-Electrolyte Interfaces
Presenter
- Nidhi Rajput
September 17, 2025
IPAM
Randomization, Neutrality, and Fairness: "Uncovering the Impact of Policy on Redistricting"
October 26, 2023
SLMath
Randomization, Neutrality, and Fairness: "Sampling, Optimization, and Evaluating Tradeoffs in Redistricting"
Presenter
- Daryl DeFord
October 26, 2023
SLMath
Randomization, Neutrality, and Fairness: Probability Spaces Driven by Geometric Constraints
Presenter
- Wesley Pegden
October 23, 2023
SLMath
Kyunghyun Cho - Lab-in-the-loop de novo antibody design - what are we missing from machine learning?
Presenter
- Kyunghyun Cho
January 25, 2023
IPAM
Mark Tuckerman - From A to B via a synthesis of rare-event sampling and machine learning
Presenter
- Mark Tuckerman
January 24, 2023
IPAM