Conveners
Session: Wavelet scattering statistics for astrophysics
- Bruno rd Régaldo-Saint Blanca (CCM)
Session: Hands free single cell RNAseq data with Random Matrix Theory
- Victor Chardès (CCB)
Session: Weakly-supervised anomaly detection in the Milky Way
- Mariel Pettee (CCA)
Session: Self-supervised representation learning for temporal data
- Pierre-Étienne Fiquet (CCN)
Session: Hot Topic: GPUs
- Geraud Krawezik (SCC)
Session: Neural-network quantum states
- Matija Medvidović (CCQ)
Session: An introduction to neural signal representations (NeRFs) with applications to Cryo-EM
- Wenda Zhou (CCM)
Session: Amortized variational inference: when and why?
- Charles Margossian (CCM)
Session: Hot Topic: Diffusion models
- Zahra Kadkhodaie (CCN)
Session: Interpreting neural networks for physics
- Anna Dawid (CCQ)
Session: Symbolic distillation of neural networks
- Miles Cranmer (CCA)
Session: Comparing ANNs and humans with metameric stimuli
- Jenelle Feather (CCN)
Session: Hot Topic: Transformers
- Kaze Wong (CCA)
