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Paul Riechers - geometric representation of far future in deep neural networks trained on next-token
Presenter
- Paul Riechers
October 16, 2024
IPAM
Vidya Muthukumar - Comparison and transfer between tasks in overparameterized learning
Presenter
- Vidya Muthukumar
October 15, 2024
IPAM
Peter Todd - Traces of search in space and mind - IPAM at UCLA
Presenter
- Peter Todd
September 23, 2024
IPAM
From Chapman-Kolmogorov and Master equations from probability methods to the kinetic dynamics of neutrinos-antineutrinos modeled by Boltzmann Fermi-Dirac systems
Presenter
- Irene Gamba
July 8, 2024
ICERM
Spectrum of the Neural Tangent Kernel in a quadratic scaling
Presenter
- Lucas Benigni
May 22, 2024
ICERM
Vadim Gorin - Six-vertex model in the rare corners regime - IPAM at UCLA
Presenter
- Vadim Gorin
May 21, 2024
IPAM
Improved very sparse matrix completion via an "asymmetric randomized SVD"
Presenter
- Raj Rao
May 20, 2024
ICERM
Machine Learning and Reduced Order Modeling for Large-Scale Industrial Digital Twins
Presenter
- David Knezevic
March 23, 2024
ICERM
Semi-Supervised Learning with the p-Laplacian in Geometric Methods in Machine Learning and Data Analysis
Presenter
- Nadejda Drenska
March 12, 2024
ICERM
Sitan Chen - Provably learning a multi-head attention layer - IPAM at UCLA
Presenter
- Sitan Chen
February 29, 2024
IPAM
Abhineet Agarwal - Understanding and overcoming the statistical limitations of decision trees
Presenter
- Abhineet Agarwal
February 27, 2024
IPAM