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Andrew Blumberg - Manifold Learning and Optimal Transport in Genomics, Pt. 2/2 - IPAM at UCLA
Presenter
- Andrew Blumberg
February 26, 2026
IPAM
Andrea Bild - A Predictive, Biology-Driven Framework to Guide Cancer Therapy - IPAM at UCLA
Presenter
- Andrea Bild
February 26, 2026
IPAM
Andrea Bertozzi - Machine Learning for High Throughput DNA-Aptamer Screening and Selection
Presenter
- Andrea Bertozzi
February 24, 2026
IPAM
Andrew Baczewski - An approach for calculating astrophysical opacities on quantum computers
Presenter
- Andrew Baczewski
February 20, 2026
IPAM
Adaptive Robustness of Hypergrid Johnson-Lindenstrauss
Presenter
- Andrej Bogdanov
October 13, 2025
IAS
A linearly-implicit energy-momentum preserving scheme for geometrically nonlinear mechanics based on non-canonical Hamiltonian formulations
Presenter
- Andrea Brugnoli
September 3, 2025
IMSI
Architectural Nuances and Benchmark Gaps in Scientific ML: Two Vignettes
Presenter
- Andrej Risteski
June 11, 2025
IMSI
A Kernel-Based Approach for Modelling Gaussian Processes with Functional Information
Presenter
- Andrew Brown
May 22, 2025
IMSI
Sequential Bayesian Inference for Uncertainty Quantification of Biological Systems
Presenter
- Andrea Arnold
May 7, 2025
ICERM
Overparameterized Systems: From Smale 17th Problem to Neural Networks
Presenter
- Andrea Montanari
May 5, 2025
IMSI