Videos

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Juan Carrasquilla - Training Binary Neural Networks in Quantum Superposition - IPAM at UCLA Thumbnail

Juan Carrasquilla - Training Binary Neural Networks in Quantum Superposition - IPAM at UCLA

Presenter
  • Juan Carrasquilla
October 16, 2023
IPAM
Neuro-Causal Factor Analysis: Structure learning and identifiability Thumbnail

Neuro-Causal Factor Analysis: Structure learning and identifiability

Presenter
  • Alex Markham
October 10, 2023
IMSI
Causal Representation Learning: Discovery of the Hidden World Thumbnail

Causal Representation Learning: Discovery of the Hidden World

Presenter
  • Kun Zhang
October 10, 2023
IMSI
Introductory Workshop: Algorithms, Fairness, and Equity: "Epistemic Uncertainty, the AI Problem Understanding Gap and the Necessity of Structured Societal Context Knowledge for Safe, Robust AI" Thumbnail

Introductory Workshop: Algorithms, Fairness, and Equity: "Epistemic Uncertainty, the AI Problem Understanding Gap and the Necessity of Structured Societal Context Knowledge for Safe, Robust AI"

Presenter
  • Donald Martin
August 30, 2023
SLMath

Machine learning constitutive models of inelastic materials with microstructure

Presenter
  • Reese Jones
June 6, 2023
ICERM

GFlowNets to accelerate scientific discovery with machine learning

Presenter
  • Alex Hernandez-Garcia
June 6, 2023
ICERM

Certifiable low-dimensional structure in transport and inference

Presenter
  • Youssef Marzouk
May 10, 2023
ICERM
Petar Veličković - Reasoning Algorithmically: from Toy Experiments to AGI Modules - IPAM at UCLA Thumbnail

Petar Veličković - Reasoning Algorithmically: from Toy Experiments to AGI Modules - IPAM at UCLA

Presenter
  • Petar Veličković
March 2, 2023
IPAM
Xavier Bresson - Learning to Untangle Genome Assembly Graphs - IPAM at UCLA Thumbnail

Xavier Bresson - Learning to Untangle Genome Assembly Graphs - IPAM at UCLA

Presenter
  • Xavier Bresson
February 27, 2023
IPAM
Rafael Gomez Bombarelli - End-to-end learning and auto-differentiation: forces, uncertainties, etc. Thumbnail

Rafael Gomez Bombarelli - End-to-end learning and auto-differentiation: forces, uncertainties, etc.

Presenter
  • Rafael Gomez-Bombarelli
January 24, 2023
IPAM
Payel Das - Design and Evaluation of Foundation Models and Generative AI in Molecular Space Thumbnail

Payel Das - Design and Evaluation of Foundation Models and Generative AI in Molecular Space

Presenter
  • Payel Das
January 23, 2023
IPAM
Xiao Fu - Multiview and Self-Supervised Representation Learning: Nonlinear Mixture Identification Thumbnail

Xiao Fu - Multiview and Self-Supervised Representation Learning: Nonlinear Mixture Identification

Presenter
  • Xiao Fu
January 9, 2023
IPAM