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Efficient Low-Dimensional Compression for Deep Overparameterized Learning and Fine-Tuning
Presenter
- Laura Balzano
October 8, 2025
IMSI
AIMNet2 family of machine learning potentials: general-purpose and task-specific models for element-organic molecules and radicals, reactions and molecular crystals
Presenter
- Roman Zubatyuk
April 12, 2024
IMSI
Machine-learning of long-range, non-bonded interactions
Presenter
- Michele Ceriotti
April 10, 2024
IMSI
Leveraging Multi-time Hamilton Jacobi PDEs for Certain Scientific Machine Learning Problems
Presenter
- Paula Chen
June 9, 2023
ICERM
Evolving Spiking Neural Networks for Scientific Applications
Presenter
- Catherine Schuman
June 8, 2023
ICERM
Deep neural operators with reliable extrapolation for multiphysics, multiscale & multifidelity problems
Presenter
- Lu Lu
June 7, 2023
ICERM
Cell-average based neural network method for time dependent problems
Presenter
- Jue Yan
June 5, 2023
ICERM
Does Machine Learning Improve Operational Efficiency? Evidence from the Design of an Emergency Department Vertical Processing Unit
Presenter
- Agni Orfanoudaki
April 6, 2023
IMSI
Lisa Nickerson - Addressing Confounds in Neuroimaging Machine Learning Predictions - IPAM at UCLA
Presenter
- Lisa Nickerson
January 13, 2023
IPAM
Michele Ceriotti - Physical insights from atomic-scale machine learning - IPAM at UCLA
Presenter
- Michele Ceriotti
January 11, 2023
IPAM
Cecelia Clementi - Designing molecular models with machine learning and experimental data
Presenter
- Cecelia Clementi
January 11, 2023
IPAM