ICLR 2023

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33 Results

Poster		Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning Arnab Mondal · Piyush Tiwary · Parag Singla · Prathosh AP
Workshop	Thu 7:45	Latent SDEs for Modelling Quasar Variability and Inferring Black Hole Properties Joshua Fagin
Workshop		Latent Stochastic Differential Equations for Modeling Quasar Variability and Inferring Black Hole Properties Joshua Fagin · Ji Won Park · Henry Best · Matt O'Dowd
Poster	Mon 2:30	Understanding DDPM Latent Codes Through Optimal Transport Valentin Khrulkov · Gleb Ryzhakov · Andrei Chertkov · Ivan Oseledets
Workshop		Projections of Model Spaces for Latent Graph Inference Haitz Sáez de Ocáriz Borde · Alvaro Arroyo · Ingmar Posner
Oral	Mon 6:30	Diffusion Models Already Have A Semantic Latent Space Mingi Kwon · Jaeseok Jeong · Youngjung Uh
Poster	Mon 7:30	Diffusion Models Already Have A Semantic Latent Space Mingi Kwon · Jaeseok Jeong · Youngjung Uh
Workshop		Latent Conservative Objective Models for Offline Data-Driven Crystal Structure Prediction Han Qi · Stefano Rando · Xinyang Geng · Iku Ohama · Aviral Kumar · Sergey Levine
Poster		Guiding Energy-based Models via Contrastive Latent Variables Hankook Lee · Jongheon Jeong · Sejun Park · Jinwoo Shin
Poster		Compositional Law Parsing with Latent Random Functions Fan Shi · Bin Li · Xiangyang Xue
Poster	Wed 2:30	Discovering Latent Knowledge in Language Models Without Supervision Collin Burns · Haotian Ye · Dan Klein · Jacob Steinhardt
Poster		Latent Neural ODEs with Sparse Bayesian Multiple Shooting Valerii Iakovlev · Cagatay Yildiz · Markus Heinonen · Harri Lähdesmäki