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Poster
Tue 9:00 On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models
Kamil Deja · Anna Kuzina · Tomasz Trzcinski · Jakub Tomczak
Poster
Tue 9:00 Learning Contrastive Embedding in Low-Dimensional Space
Shuo Chen · Chen Gong · Jun Li · Jian Yang · Gang Niu · Masashi Sugiyama
Poster
Wed 9:00 Learning Physics Constrained Dynamics Using Autoencoders
Tsung-Yen Yang · Justinian Rosca · Karthik Narasimhan · Peter J Ramadge
Poster
Wed 9:00 Identifiability of deep generative models without auxiliary information
Bohdan Kivva · Goutham Rajendran · Pradeep Ravikumar · Bryon Aragam
Poster
Wed 14:00 SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery
Yezhen Cong · Samar Khanna · Chenlin Meng · Patrick Liu · Erik Rozi · Yutong He · Marshall Burke · David Lobell · Stefano Ermon
Poster
Tue 9:00 VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Zhan Tong · Yibing Song · Jue Wang · Limin Wang
Poster
Wed 14:00 Masked Autoencoding for Scalable and Generalizable Decision Making
Fangchen Liu · Hao Liu · Aditya Grover · Pieter Abbeel
Poster
Tue 14:00 Formalizing Consistency and Coherence of Representation Learning
Harald Strömfelt · Luke Dickens · Artur Garcez · Alessandra Russo
Poster
Wed 14:00 Cross-Linked Unified Embedding for cross-modality representation learning
Xinming Tu · Zhi-Jie Cao · xia chenrui · Sara Mostafavi · Ge Gao
Poster
Wed 9:00 MCMAE: Masked Convolution Meets Masked Autoencoders
Peng Gao · Teli Ma · Hongsheng Li · Ziyi Lin · Jifeng Dai · Yu Qiao
Poster
Wed 9:00 Test-Time Training with Masked Autoencoders
Yossi Gandelsman · Yu Sun · Xinlei Chen · Alexei Efros
Poster
Tue 14:00 Embrace the Gap: VAEs Perform Independent Mechanism Analysis
Patrik Reizinger · Luigi Gresele · Jack Brady · Julius von Kügelgen · Dominik Zietlow · Bernhard Schölkopf · Georg Martius · Wieland Brendel · Michel Besserve