|
Poster
|
Tue 9:00
|
Provably sample-efficient RL with side information about latent dynamics
Yao Liu · Dipendra Misra · Miro Dudik · Robert Schapire
|
|
|
Workshop
|
Sat 7:00
|
Latent Space Diffusion Models of Cryo-EM Structures
Karsten Kreis · Tim Dockhorn · Zihao Li · Ellen Zhong
|
|
|
Workshop
|
|
Identifying latent climate signals using sparse hierarchical Gaussian processes
Matt Amos · Thomas Pinder · Paul Young
|
|
|
Workshop
|
|
Mixed Samples Data Augmentation with Replacing Latent Vector Components in Normalizing Flow
Genki Osada · Budrul Ahsan · Takashi Nishide
|
|
|
Workshop
|
Fri 7:00
|
Efficient Planning in a Compact Latent Action Space
|
|
|
Workshop
|
|
The Surprising Effectiveness of Latent World Models for Continual Reinforcement Learning
Samuel Kessler · Piotr Miłoś · Jack Parker-Holder · S Roberts
|
|
|
Workshop
|
Fri 12:45
|
Alex Lamb on Latent Data Augmentation for Improved Generalization
|
|
|
Workshop
|
|
Latent Space Diffusion Models of Cryo-EM Structures
Karsten Kreis · Tim Dockhorn · Zihao Li · Ellen Zhong
|
|
|
Workshop
|
|
Few Shot Generative Domain Adaptation Via Inference-Stage Latent Learning in GANs
Arnab Kumar Mondal · Piyush Tiwary · Parag Singla · Prathosh AP
|
|
|
Workshop
|
|
Efficient Planning in a Compact Latent Action Space
zhengyao Jiang · Tianjun Zhang · Michael Janner · Yueying (Lisa) Li · Tim Rocktäschel · Edward Grefenstette · Yuandong Tian
|
|
|
Affinity Workshop
|
Mon 7:10
|
Oral Presentation 3: Privacy-Preserving Machine Learning for Collaborative Data Sharing via Auto-encoder Latent Space Embeddings
Ana María Quintero-Ossa
|
|
|
Poster
|
Tue 9:00
|
FedPop: A Bayesian Approach for Personalised Federated Learning
Nikita Kotelevskii · Maxime Vono · Alain Durmus · Eric Moulines
|
|
