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Machine Learning and Dynamical Systems meet in Reproducing Kernel Hilbert Spaces
Presenter
- Boumediene Hamzi
October 28, 2019
IPAM
Machine learning-enabled enhanced sampling in biomolecular simulation and data-driven design of self-assembling photonic crystals and optoelectonic π-conjugated oligopeptides
Presenter
- Andrew Ferguson
September 9, 2019
IPAM
Heather Kulik - Exploring multi-million compound spaces w/ chemical accuracy using machine learning
Presenter
- Heather Kulik
March 27, 2023
IPAM
Integrating the spectral analysis of neural networks and nonlinear physics for explainability, generalizability, and stability
Presenter
- Pedram Hassanzadeh
November 4, 2022
IMSI
Manifold Learning in Analysis of High Dimensional Remote Sensing Data
Presenter
- Melba Crawford
September 25, 2013
IMA
Your Brain on Energy-Based Models: Applying and Scaling EBMs to Problems of Interest to the Machine Learning Community Today
Presenter
- Will Grathwohl
March 10, 2020
IAS
Coarse graining autoencoders and evolutionary learning of atomistic potentials
Presenter
- Rafael Gomez-Bombarelli
September 24, 2019
IPAM
Treatment Allocations Based on Multi-Armed Bandit Strategies
Presenter
- Yuhong Yang
September 15, 2017
IMA
Methodological Aspects of Predictive Data Analytics and VC-theory
Presenter
- Vladimir Cherkassky
February 2, 2016
IMA
New Developments in Virtual-Tissue Computer Simulations of Tissues
Presenter
- James Glazier
June 15, 2023
ICERM
Daniel Schwen - MOOSE: Parallel sampling for rare event probabilities & inverse Bayesian inference
Presenter
- Daniel Schwen
March 30, 2023
IPAM