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Blake Bordelon - Infinite limits and scaling laws of neural networks - IPAM at UCLA
Presenter
- Blake Bordelon
October 16, 2024
IPAM
Cengiz Pehlevan - 2 stories in mechanistic interpretation of natural & artificial neural computation
Presenter
- Cengiz Pehlevan
October 15, 2024
IPAM
Colin Defant - Toric Promotion with Reflections and Refractions - IPAM at UCLA
Presenter
- Colin Defant
April 18, 2024
IPAM
Lauren Williams - inhomogeneous multispecies t-PushTASEP and Macdonald polynomials - IPAM at UCLA
Presenter
- Lauren Williams
April 16, 2024
IPAM
Sitan Chen - Provably learning a multi-head attention layer - IPAM at UCLA
Presenter
- Sitan Chen
February 29, 2024
IPAM
Anurag Anshu - Circuit-to-Hamiltonian from tensor networks and fault tolerance - IPAM at UCLA
Presenter
- Anurag Anshu
November 28, 2023
IPAM
Joonho Lee - Auxiliary-Field Quantum Monte Carlo Beyond Hartree-Fock Trial Wavefunctions
Presenter
- Joonho Lee
November 7, 2023
IPAM
Yihui Quek - Signal and noise: learning with random quantum circuits and other agents of chaos
Presenter
- Yihui Quek
October 16, 2023
IPAM
Boris Kozinsky - Uncertainty-aware machine learning models of many-body atomic interactions
Presenter
- Boris Kozinsky
April 17, 2023
IPAM
Mohammed AlQuraishi - OpenFold: Lessons and insights from rebuilding and retraining AlphaFold2
Presenter
- Mohammed AlQuraishi
January 23, 2023
IPAM
Lisa Nickerson - Addressing Confounds in Neuroimaging Machine Learning Predictions - IPAM at UCLA
Presenter
- Lisa Nickerson
January 13, 2023
IPAM
Petros Koumoutsakos - Alloys: Artificial Intelligence and Scientific Computing for Fluid Mechanics
Presenter
- Petros Koumoutsakos
January 11, 2023
IPAM