Videos

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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
Matteo Valleriani - XAI Historian - IPAM at UCLA Thumbnail

Matteo Valleriani - XAI Historian - IPAM at UCLA

Presenter
  • Matteo Valleriani
January 12, 2023
IPAM
Demetri Psaltis - Machine Learning for 3D Optical Imaging - IPAM at UCLA Thumbnail

Demetri Psaltis - Machine Learning for 3D Optical Imaging - IPAM at UCLA

Presenter
  • Demetri Psaltis
October 13, 2022
IPAM
Learning from data through the lens of (ocean) models, surrogates, and their derivatives Thumbnail

Learning from data through the lens of (ocean) models, surrogates, and their derivatives

Presenter
  • Patrick Heimbach
September 22, 2022
IMSI
Finding a neutrino in a haystack: computational challenges for the IceCube Neutrino Observatory Thumbnail

Finding a neutrino in a haystack: computational challenges for the IceCube Neutrino Observatory

Presenter
  • Nathan Whitehorn
December 1, 2021
IPAM
Learning to Sample Thumbnail

Learning to Sample

Presenter
  • Shai Avidan
October 9, 2020
IPAM
Splines and imaging: From compressed sensing to deep neural networks Thumbnail

Splines and imaging: From compressed sensing to deep neural networks

Presenter
  • MIchael Unser
January 27, 2020
IPAM
Grigoris Paouris - Small ball probabilities for random tensors and analysis of tensor decompositions Thumbnail

Grigoris Paouris - Small ball probabilities for random tensors and analysis of tensor decompositions

Presenter
  • Grigoris Paouris
February 8, 2024
IPAM
Geometric Understanding of Supervised and Unsupervised Deep Learning for Biomedical Image Reconstruction Thumbnail

Geometric Understanding of Supervised and Unsupervised Deep Learning for Biomedical Image Reconstruction

Presenter
  • Jong Chul Ye
January 28, 2020
IPAM
Reinhard Heckel - The role of data and models for deep-learning based image reconstruction Thumbnail

Reinhard Heckel - The role of data and models for deep-learning based image reconstruction

Presenter
  • Reinhard Heckel
December 1, 2022
IPAM
Topological insights on neuronal morphologies Thumbnail

Topological insights on neuronal morphologies

Presenter
  • Lida Kanari
May 4, 2021
SLMath
Continuous Signal Processing using Implicit Neural Representation Thumbnail

Continuous Signal Processing using Implicit Neural Representation

Presenter
  • Kyong Hwan
August 7, 2024
IMSI