Videos

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Optimization of Polynomials on the Unit Sphere Thumbnail

Optimization of Polynomials on the Unit Sphere

Presenter
  • Alexander Barvinok
January 16, 2007
IMA
Multiterminal Network Tomography Thumbnail

Multiterminal Network Tomography

Presenter
  • Laura Matusevich
November 10, 2005
IMA
Kevin Ellis - Probabilistic Thinking in Language and Code - IPAM at UCLA Thumbnail

Kevin Ellis - Probabilistic Thinking in Language and Code - IPAM at UCLA

Presenter
  • Kevin Ellis
November 7, 2024
IPAM
Tai-Danae Bradley - An Enriched Category Theory of Language - IPAM at UCLA Thumbnail

Tai-Danae Bradley - An Enriched Category Theory of Language - IPAM at UCLA

Presenter
  • Tai-Danae Bradley
November 5, 2024
IPAM
Geometry of Delta-Matroids Thumbnail

Geometry of Delta-Matroids

Presenter
  • Matt Larsen
October 25, 2024
IAS

Beyond level-1: Identifying network features under a coalescent model

Presenter
  • John Rhodes
October 23, 2024
ICERM

Parameter estimation on growing phylogenetic trees

Presenter
  • Vu Dinh
October 21, 2024
ICERM
Adityanarayanan Radhakrishnan - How do neural networks learn features from data? - IPAM at UCLA Thumbnail

Adityanarayanan Radhakrishnan - How do neural networks learn features from data? - IPAM at UCLA

Presenter
  • Adityanarayanan Radhakrishnan
October 18, 2024
IPAM
Dmitry Krotov - Generative AI models through the lens of Dense Associative Memory - IPAM at UCLA Thumbnail

Dmitry Krotov - Generative AI models through the lens of Dense Associative Memory - IPAM at UCLA

Presenter
  • Dmitry Krotov
October 17, 2024
IPAM
On the converse to Eisenstein's last theorem Thumbnail

On the converse to Eisenstein's last theorem

Presenter
  • Daniel Litt
October 14, 2024
IAS
Gregory Beylkin - On algorithms in high dimensions - IPAM at UCLA Thumbnail

Gregory Beylkin - On algorithms in high dimensions - IPAM at UCLA

Presenter
  • Gregory Beylkin
September 26, 2024
IPAM

Phylogenetic Semidirected Networks and a Tractable Dissimilarity Measure

Presenter
  • Cécile Ané
September 16, 2024
ICERM