Videos

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Curvature-Based Clustering on Graphs Thumbnail

Curvature-Based Clustering on Graphs

Presenter
  • Zachary Lubberts
January 15, 2026
IMSI

On a novel exact representation of species sampling processes

Presenter
  • Ramses Mena
January 14, 2026
ICERM

Clustering with shot-noise Cox Process Mixture Models

Presenter
  • Federico Camerlenghi
January 14, 2026
ICERM

Polymorphic Vectorization

Presenter
  • Peter Orbanz
January 14, 2026
ICERM
Cambyse Rouze - Heisenberg-limited Hamiltonian learning continuous variable systems via dissipation Thumbnail

Cambyse Rouze - Heisenberg-limited Hamiltonian learning continuous variable systems via dissipation

Presenter
  • Cambyse Rouze
January 14, 2026
IPAM
Jianfeng Lu - Lifting of Quantum Markov Processes - IPAM at UCLA Thumbnail

Jianfeng Lu - Lifting of Quantum Markov Processes - IPAM at UCLA

Presenter
  • Jianfeng Lu
January 14, 2026
IPAM
Daniel Stilck Franca - Learning and certification of local time-dependent quantum dynamics and noise Thumbnail

Daniel Stilck Franca - Learning and certification of local time-dependent quantum dynamics and noise

Presenter
  • Daniel Franca
January 14, 2026
IPAM
Pawel Wocjan - Quantized Markov chain couplings that prepare Qsamples - IPAM at UCLA Thumbnail

Pawel Wocjan - Quantized Markov chain couplings that prepare Qsamples - IPAM at UCLA

Presenter
  • Pawel Wocjan
January 14, 2026
IPAM
M. Isabel Franco Garrido - Optimization algorithms using Gibbs state preparation and beyond Thumbnail

M. Isabel Franco Garrido - Optimization algorithms using Gibbs state preparation and beyond

Presenter
  • Isabel Garrido
January 14, 2026
IPAM

Building faster and more expressive BART models

Presenter
  • Sameer Deshpande
January 14, 2026
ICERM

Dynamic Random Partitions: Applications, Opportunities, and Challenges

Presenter
  • Michele Guindani
January 14, 2026
ICERM

Fast non-reversible samplers for Bayesian mixture models

Presenter
  • Filippo Ascolani
January 14, 2026
ICERM