firstbacksecondback
49 Results
Poster
|
Thu 9:00 |
Langevin Autoencoders for Learning Deep Latent Variable Models Shohei Taniguchi · Yusuke Iwasawa · Wataru Kumagai · Yutaka Matsuo |
|
Poster
|
Wed 9:00 |
Identifiability of deep generative models without auxiliary information Bohdan Kivva · Goutham Rajendran · Pradeep Ravikumar · Bryon Aragam |
|
Workshop
|
Optimal Latent Transport Hrittik Roy · Søren Hauberg |
||
Workshop
|
Neural Latent Dynamics Models Nicola Farenga · Stefania Fresca · Andrea Manzoni |
||
Poster
|
Tue 9:00 |
LION: Latent Point Diffusion Models for 3D Shape Generation xiaohui zeng · Arash Vahdat · Francis Williams · Zan Gojcic · Or Litany · Sanja Fidler · Karsten Kreis |
|
Poster
|
Wed 9:00 |
Symmetry-induced Disentanglement on Graphs Giangiacomo Mercatali · Andre Freitas · Vikas Garg |
|
Workshop
|
Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective Raj Ghugare · Homanga Bharadhwaj · Benjamin Eysenbach · Sergey Levine · Ruslan Salakhutdinov |
||
Poster
|
Tue 14:00 |
Posterior Collapse of a Linear Latent Variable Model Zihao Wang · Liu Ziyin |
|
Poster
|
Optimal Positive Generation via Latent Transformation for Contrastive Learning Yinqi Li · Hong Chang · Bingpeng MA · Shiguang Shan · Xilin Chen |
||
Poster
|
Thu 14:00 |
Few-Shot Non-Parametric Learning with Deep Latent Variable Model Zhiying Jiang · Yiqin Dai · Ji Xin · Ming Li · Jimmy Lin |
|
Poster
|
Tue 9:00 |
Lost in Latent Space: Examining failures of disentangled models at combinatorial generalisation Milton Montero · Jeffrey Bowers · Rui Ponte Costa · Casimir Ludwig · Gaurav Malhotra |
|
Poster
|
Thu 14:00 |
VICE: Variational Interpretable Concept Embeddings Lukas Muttenthaler · Charles Zheng · Patrick McClure · Robert Vandermeulen · Martin N Hebart · Francisco Pereira |