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Zoe Holmes - Exponential Concentration in Quantum Generative Modeling and Quantum Kernel Methods
Presenter
- Zoe Holmes
October 17, 2023
IPAM
Ryan Sweke - Should we use parameterized quantum circuits for machine learning? - IPAM at UCLA
Presenter
- Ryan Sweke
October 17, 2023
IPAM
Hot Topics: MIP* = RE and the Connes’ Embedding Problem: "The Compression Paradigm, Part II"
Presenter
- Henry Yuen
October 17, 2023
SLMath
Hot Topics: MIP* = RE and the Connes’ Embedding Problem: "The Compression Paradigm, Part I"
Presenter
- Seyed Sajjad Nezhadi
October 17, 2023
SLMath
A power law of cortical adaptation in neural populations
Presenter
- Dario Ringach
October 17, 2023
ICERM
Extending Generalization Theory to Address Phenomena in Contemporary Machine Learning
Presenter
- Shay Moran
October 17, 2023
IAS
Topology shapes dynamics of higher-order networks
Presenter
- Ginestra Bianconi
October 16, 2023
ICERM
Hot Topics: MIP* = RE and the Connes’ Embedding Problem: "Synchronous Games"
Presenter
- Vern Paulsen
October 16, 2023
SLMath
Hot Topics: MIP* = RE and the Connes’ Embedding Problem: "Introduction to Self-Testing"
Presenter
- Yuming Zhao
October 16, 2023
SLMath
Discovering the geometry of neural representations via topological tools.
Presenter
- Vladimir Itskov
October 16, 2023
ICERM
Maria Schuld - How to rethink quantum machine learning - IPAM at UCLA
Presenter
- Maria Schuld
October 16, 2023
IPAM