Vikram Voleti

According to our database, Vikram Voleti authored at least 24 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion.

Vikram Voleti, Chun-Han Yao, Mark Boss, Adam Letts, David Pankratz, Dmitry Tochilkin, Christian Laforte, Robin Rombach, Varun Jampani

CoRR, 2024

2023

Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Andreas Blattmann, Tim Dockhorn, Sumith Kulal, Daniel Mendelevitch, Maciej Kilian, Dominik Lorenz, Yam Levi, Zion English, Vikram Voleti, Adam Letts, Varun Jampani, Robin Rombach

CoRR, 2023

Conditional Generative Modeling for Images, 3D Animations, and Video.

Vikram Voleti

CoRR, 2023

Score-based Diffusion Models in Function Space.

Jae Hyun Lim, Nikola B. Kovachki, Ricardo Baptista, Christopher Beckham, Kamyar Azizzadenesheli, Jean Kossaifi, Vikram Voleti, Jiaming Song, Karsten Kreis, Jan Kautz, Christopher Pal, Arash Vahdat, Anima Anandkumar

CoRR, 2023

Are Diffusion Models Vision-And-Language Reasoners?

Benno Krojer, Elinor Poole-Dayan, Vikram Voleti, Chris Pal, Siva Reddy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Objaverse-XL: A Universe of 10M+ 3D Objects.

Matt Deitke, Ruoshi Liu, Matthew Wallingford, Huong Ngo, Oscar Michel, Aditya Kusupati, Alan Fan, Christian Laforte, Vikram Voleti, Samir Yitzhak Gadre, Eli VanderBilt, Aniruddha Kembhavi, Carl Vondrick, Georgia Gkioxari, Kiana Ehsani, Ludwig Schmidt, Ali Farhadi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Generative Models of Brain Dynamics.

Mahta Ramezanian-Panahi, German Abrevaya, Jean-Christophe Gagnon-Audet, Vikram Voleti, Irina Rish, Guillaume Dumas

Frontiers Artif. Intell., 2022

Plankton-FL: Exploration of Federated Learning for Privacy-Preserving Training of Deep Neural Networks for Phytoplankton Classification.

Daniel Zhang, Vikram Voleti, Alexander Wong, Jason Deglint

CoRR, 2022

Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models.

Vikram Voleti, Christopher Pal, Adam M. Oberman

CoRR, 2022

Towards Generating Large Synthetic Phytoplankton Datasets for Efficient Monitoring of Harmful Algal Blooms.

Nitpreet Bamra, Vikram Voleti, Alexander Wong, Jason Deglint

CoRR, 2022

SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows.

Vikram Voleti, Boris N. Oreshkin, Florent Bocquelet, Félix G. Harvey, Louis-Simon Ménard, Christopher Pal

Proceedings of the SIGGRAPH Asia 2022 Technical Communications, 2022

MCVD - Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation.

Vikram Voleti, Alexia Jolicoeur-Martineau, Chris Pal

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FairCal: Fairness Calibration for Face Verification.

Tiago Salvador, Stephanie Cairns, Vikram Voleti, Noah Marshall, Adam M. Oberman

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Simple Video Generation using Neural ODEs.

David Kanaa, Vikram Voleti, Samira Ebrahimi Kahou, Christopher Pal

CoRR, 2021

SALT: Sea lice Adaptive Lattice Tracking - An Unsupervised Approach to Generate an Improved Ocean Model.

Ju An Park, Vikram Voleti, Kathryn E. Thomas, Alexander Wong, Jason L. Deglint

CoRR, 2021

Multi-Resolution Continuous Normalizing Flows.

Vikram Voleti, Chris Finlay, Adam M. Oberman, Christopher J. Pal

CoRR, 2021

Improved Predictive Uncertainty using Corruption-based Calibration.

Tiago Salvador, Vikram Voleti, Alexander Iannantuono, Adam M. Oberman

CoRR, 2021

Bias Mitigation of Face Recognition Models Through Calibration.

Tiago Salvador, Stephanie Cairns, Vikram Voleti, Noah Marshall, Adam M. Oberman

CoRR, 2021

Accounting for Variance in Machine Learning Benchmarks.

Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Naz Sepah, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Dmitriy Serdyuk, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent

CoRR, 2021

Accounting for Variance in Machine Learning Benchmarks.

Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Nazanin Mohammadi Sepahvand, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent

Proceedings of Machine Learning and Systems 2021, 2021

gradSim: Differentiable simulation for system identification and visuomotor control.

J. Krishna Murthy, Miles Macklin, Florian Golemo, Vikram Voleti, Linda Petrini, Martin Weiss, Breandan Considine, Jérôme Parent-Lévesque, Kevin Xie, Kenny Erleben, Liam Paull, Florian Shkurti, Derek Nowrouzezahrai, Sanja Fidler

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules.

Sarthak Mittal, Alex Lamb, Anirudh Goyal, Vikram Voleti, Murray Shanahan, Guillaume Lajoie, Michael Mozer, Yoshua Bengio

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation.

Vincent Michalski, Vikram Voleti, Samira Ebrahimi Kahou, Anthony Ortiz, Pascal Vincent, Chris Pal, Doina Precup

CoRR, 2019

Cross-language Speech Dependent Lip-synchronization.

Abhishek Jha, Vikram Voleti, Vinay P. Namboodiri, C. V. Jawahar

Proceedings of the IEEE International Conference on Acoustics, 2019