Other

Explore talks from other groups besides ML+X, ML4MI, and SILO; on campus and beyond.

Restoring Video Game Footage with Machine Learning

Videos
Computer vision
Image data
Image restoration
Super-resolution
Deep learning
CNN
GPU
In this talk from the 2026 Midwest Gaming Classic in Milwaukee, software engineer Stephen Reich shows how he trains models to clean up old video game footage, such as VHS…
2026-08-14
Stephen Reich

Auditing Equity in Large Language Models: Insights from Dialogue and Image Classification Tasks

Videos
UW-Madison
LLM
Trustworthy AI
Science communication
Computer vision
NLP
In this talk from LSC’s 2025 Science Communication Colloquium, Associate Professor Kaiping Chen presents findings from two studies examining how user identity influences…
2025-02-12
Kaiping Chen

AlphaFold and Protein Language Models

Videos
UW-Madison
Biology
Protein engineering
LLM
Deep learning
Alphafold
Protein language models
In a talk hosted by the University of Wisconsin-Madison’s Computational Biology, Ecology, and Evolution (ComBEE) community, Dr. Hannah Wayment-Steele discusses AlphaFold, a…
2025-01-28
Hannah Wayment-Steele

Intro to Out-of-Distribution Detection

Videos
ICCV
OOD detection
Trustworthy AI
The below tutorial from Sharon Li, an Assistant Professor in the Department of Computer Sciences at the University of Wisconsin-Madison, introduces a pervasive problem faced…
2024-07-11
Sharon Li

A Biophysics-based Protein Language Model for Protein Engineering

Videos
UW-Madison
Transfer learning
Biology
Biophysics
Protein language models
Foundation models
LLM
Deep learning
Protein engineering
Simulations

We introduce Mutational Effect Transfer Learning (METL), a specialized protein language model that bridges the gap between traditional biophysics-based and machine learning approaches by incorporating synthetic data from molecular simulations.

2024-06-18
Sam Gelman

Using Large Language Models for Meteorological Fact Finding

Videos
IT Prof
UW-Madison
LLM
Meteorology

This talk demonstrates harnessing the power of AI to open new avenues in data analysis, including for meteorological fact-finding. Discover how cutting-edge large language models (LLMs) like OpenAI’s ChatGPT 3.5 and 4.0 hold are poised to help the field of meteorological data analysis.

2024-05-30
Zekai Otles

LabelBench: A Framework for Benchmarking Label-Efficient Learning

Videos
MLOPT
UW-Madison
Active learning
Semi-supervised
ViT
Benchmarking
Labeled data are critical to modern machine learning applications, but obtaining labels can be expensive. To mitigate this cost, machine learning methods, such as transfer…
2023-10-27
Jifan Zhang
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