Rishabh Kabra

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Variational Inference

Partially Observable Environments

Unsupervised Segmentation

Top Venues

Publications

Ziyi Wu, Yulia Rubanova, Rishabh Kabra, Drew A. Hudson, Igor Gilitschenski, Yusuf Aytar, Sjoerd van Steenkiste, Kelsey R. Allen, Thomas Kipf
Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models. CoRR (2024)
Lucas Beyer, Andreas Steiner, André Susano Pinto, Alexander Kolesnikov, Xiao Wang, Daniel Salz, Maxim Neumann, Ibrahim Alabdulmohsin, Michael Tschannen, Emanuele Bugliarello, Thomas Unterthiner, Daniel Keysers, Skanda Koppula, Fangyu Liu, Adam Grycner, Alexey A. Gritsenko, Neil Houlsby, Manoj Kumar, Keran Rong, Julian Eisenschlos, Rishabh Kabra, Matthias Bauer, Matko Bosnjak, Xi Chen, Matthias Minderer, Paul Voigtlaender, Ioana Bica, Ivana Balazevic, Joan Puigcerver, Pinelopi Papalampidi, Olivier J. Hénaff, Xi Xiong, Radu Soricut, Jeremiah Harmsen, Xiaohua Zhai
PaliGemma: A versatile 3B VLM for transfer. CoRR (2024)
Rishabh Kabra, Loic Matthey, Alexander Lerchner, Niloy J. Mitra
Evaluating VLMs for Score-Based, Multi-Probe Annotation of 3D Objects. CoRR (2023)
Daniel Zoran, Rishabh Kabra, Alexander Lerchner, Danilo J. Rezende
PARTS: Unsupervised segmentation with slots, attention and independence maximization. ICCV (2021)
Antonia Creswell, Rishabh Kabra, Christopher Burgess, Murray Shanahan
Unsupervised Object-Based Transition Models for 3D Partially Observable Environments. CoRR (2021)
Rishabh Kabra, Daniel Zoran, Goker Erdogan, Loic Matthey, Antonia Creswell, Matthew Botvinick, Alexander Lerchner, Christopher P. Burgess
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition. CoRR (2021)
James C. R. Whittington, Rishabh Kabra, Loic Matthey, Christopher P. Burgess, Alexander Lerchner
Constellation: Learning relational abstractions over objects for compositional imagination. CoRR (2021)
Rishabh Kabra, Daniel Zoran, Goker Erdogan, Loic Matthey, Antonia Creswell, Matt M. Botvinick, Alexander Lerchner, Christopher P. Burgess
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition. NeurIPS (2021)
Antonia Creswell, Rishabh Kabra, Christopher P. Burgess, Murray Shanahan
Unsupervised Object-Based Transition Models For 3D Partially Observable Environments. NeurIPS (2021)
Antonia Creswell, Kyriacos Nikiforou, Oriol Vinyals, Andre Saraiva, Rishabh Kabra, Loic Matthey, Christopher Burgess, Malcolm Reynolds, Richard Tanburn, Marta Garnelo, Murray Shanahan
AlignNet: Unsupervised Entity Alignment. CoRR (2020)
Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra, Nick Watters, Christopher Burgess, Daniel Zoran, Loic Matthey, Matthew Botvinick, Alexander Lerchner
Multi-Object Representation Learning with Iterative Variational Inference. ICML (2019)
Arthur Guez, Mehdi Mirza, Karol Gregor, Rishabh Kabra, Sébastien Racanière, Théophane Weber, David Raposo, Adam Santoro, Laurent Orseau, Tom Eccles, Greg Wayne, David Silver, Timothy P. Lillicrap
An investigation of model-free planning. CoRR (2019)
Arthur Guez, Mehdi Mirza, Karol Gregor, Rishabh Kabra, Sébastien Racanière, Theophane Weber, David Raposo, Adam Santoro, Laurent Orseau, Tom Eccles, Greg Wayne, David Silver, Timothy P. Lillicrap
An Investigation of Model-Free Planning. ICML (2019)
Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra, Nick Watters, Christopher Burgess, Daniel Zoran, Loïc Matthey, Matthew Botvinick, Alexander Lerchner
Multi-Object Representation Learning with Iterative Variational Inference. CoRR (2019)
Christopher P. Burgess, Loïc Matthey, Nicholas Watters, Rishabh Kabra, Irina Higgins, Matthew Botvinick, Alexander Lerchner
MONet: Unsupervised Scene Decomposition and Representation. CoRR (2019)