|
Workshop
|
|
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization
Yinbin Han · Meisam Razaviyayn · Renyuan Xu
|
|
|
Poster
|
Wed 15:00
|
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models
Litu Rout · Negin Raoof · Giannis Daras · Constantine Caramanis · Alex Dimakis · Sanjay Shakkottai
|
|
|
Workshop
|
Sat 8:35
|
Compositional Generalization in Vision-Language Models uses the Language Modality only
|
|
|
Workshop
|
|
Hyperspectral shadow removal with iterative logistic regression and latent Parametric Linear Combination of Gaussians
Core Francisco Park · Cecilia Garraffo
|
|
|
Poster
|
Wed 8:45
|
Universality laws for Gaussian mixtures in generalized linear models
Yatin Dandi · Ludovic Stephan · Florent Krzakala · Bruno Loureiro · Lenka Zdeborová
|
|
|
Workshop
|
|
A General Method for Testing Bayesian Models using Neural Data
Gabor Lengyel · Sabyasachi Shivkumar · Ralf Haefner
|
|
|
Poster
|
Wed 15:00
|
Anytime Model Selection in Linear Bandits
Parnian Kassraie · Nicolas Emmenegger · Andreas Krause · Aldo Pacchiano
|
|
|
Workshop
|
|
The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets
Samuel Marks · Max Tegmark
|
|
|
Workshop
|
|
A General Method for Testing Bayesian Models using Neural Data
Gabor Lengyel · Sabyasachi Shivkumar · Ralf Haefner
|
|
|
Poster
|
Thu 15:00
|
Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference
Licong Lin · Mufang Ying · Suvrojit Ghosh · Koulik Khamaru · Cun-Hui Zhang
|
|
|
Workshop
|
|
A Data-Driven, Non-Linear, Parameterized Reduced Order Model of Metal 3D Printing
Aaron Brown · Eric Chin · Youngsoo Choi · Saad Khairallah · Joseph McKeown
|
|
|
Workshop
|
|
Generalization properties of contrastive world models
Kandan Ramakrishnan · R. James Cotton · Xaq Pitkow · Andreas Tolias
|
|
