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Matrix Function Networks for learning non local quantum effects.
Presenter
- Ilyes Batatia
April 8, 2024
IMSI
Harnessing The Properties of Equivariant Neural Networks To Understand And Design Atomic Systems
Presenter
- Tess Smidt
March 29, 2024
IMSI
Quasi Real-Time Simulations with Neural Networks for Industrial Applications
Presenter
- Yu-Chin Chan
March 23, 2024
ICERM
Overview of classical ML: classification methods and decision trees
Presenter
- Cong Ma
March 11, 2024
IMSI
Structured variability and its roles in neural computation: the hippocampus perspective
Presenter
- Cristina Savin
October 30, 2023
ICERM
Vedran Dunjko - Exponential separations between classical and quantum learners - IPAM at UCLA
Presenter
- Vedran Dunjko
October 19, 2023
IPAM
Hsin-Yuan (Robert) Huang - Learning to predict arbitrary quantum processes - IPAM at UCLA
Presenter
- Hsin-Yuan Huang
October 18, 2023
IPAM
Causal Representation Learning: Discovery of the Hidden World
Presenter
- Kun Zhang
October 10, 2023
IMSI
Alex Aiken - Task-Based Programming with Legion - IPAM at UCLA
Presenter
- Alex Aiken
May 2, 2023
IPAM
Clustering of discrete measures via mean measure quantization: application to unsupervised vectorization of persistence diagrams
Presenter
- Fred Chazal
March 23, 2023
IMSI
On Dantzig-Wolfe Relaxation of Rank Constrained Optimization: Exactness, Rank Bounds, and Algorithms
Presenter
- Weijun Xie
March 3, 2023
ICERM