Kushagra Pandey

17 papers A* 5Journal 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Control-Augmented Autoregressive Diffusion for Data Assimilation.
CoRR
Prakhar Srivastava, Farrin Marouf Sofian, Francesco Immorlano, Kushagra Pandey, Stephan Mandt
2025 A* conf
Heavy-Tailed Diffusion Models.
ICLR
Kushagra Pandey, Jaideep Pathak, Yilun Xu, Stephan Mandt, Michael S. Pritchard, Arash Vahdat, Morteza Mardani
2025 J jnl
On the Challenges and Opportunities in Generative AI.
Trans. Mach. Learn. Res.
Laura Manduchi, Clara Meister, Kushagra Pandey, Robert Bamler, Ryan Cotterell, Sina Däubener, Sophie Fellenz, Asja Fischer, Thomas Gärtner, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard de Melo, Eric T. Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van den Broeck, Julia E. Vogt, Yixin Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent Fortuin
2025 A* conf
Variational Control for Guidance in Diffusion Models.
ICML
Kushagra Pandey, Farrin Marouf Sofian, Felix Draxler, Theofanis Karaletsos, Stephan Mandt
2025 J jnl
Variational Control for Guidance in Diffusion Models.
CoRR
Kushagra Pandey, Farrin Marouf Sofian, Felix Draxler, Theofanis Karaletsos, Stephan Mandt
2024 A* conf
Efficient Integrators for Diffusion Generative Models.
ICLR
Kushagra Pandey, Maja Rudolph, Stephan Mandt
2024 J jnl
Fast Samplers for Inverse Problems in Iterative Refinement Models.
CoRR
Kushagra Pandey, Ruihan Yang, Stephan Mandt
2024 A* conf
Fast samplers for Inverse Problems in Iterative Refinement models.
NeurIPS
Kushagra Pandey, Ruihan Yang, Stephan Mandt
2024 J jnl
Heavy-Tailed Diffusion Models.
CoRR
Kushagra Pandey, Jaideep Pathak, Yilun Xu, Stephan Mandt, Michael S. Pritchard, Arash Vahdat, Morteza Mardani
2024 J jnl
On the Challenges and Opportunities in Generative AI.
CoRR
Laura Manduchi, Kushagra Pandey, Robert Bamler, Ryan Cotterell, Sina Däubener, Sophie Fellenz, Asja Fischer, Thomas Gärtner, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard de Melo, Eric T. Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van den Broeck, Julia E. Vogt, Yixin Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent Fortuin
2024 J jnl
Towards Fast Stochastic Sampling in Diffusion Generative Models.
CoRR
Kushagra Pandey, Maja Rudolph, Stephan Mandt
2023 A* conf
A Complete Recipe for Diffusion Generative Models.
ICCV
Kushagra Pandey, Stephan Mandt
2023 J jnl
Efficient Integrators for Diffusion Generative Models.
CoRR
Kushagra Pandey, Maja Rudolph, Stephan Mandt
2023 J jnl
Generative Diffusions in Augmented Spaces: A Complete Recipe.
CoRR
Kushagra Pandey, Stephan Mandt
2022 J jnl
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents.
CoRR
Kushagra Pandey, Avideep Mukherjee, Piyush Rai, Abhishek Kumar
2022 J jnl
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents.
Trans. Mach. Learn. Res.
Kushagra Pandey, Avideep Mukherjee, Piyush Rai, Abhishek Kumar
2022 J jnl
No Cell Left behind: Automated, Stochastic, Physics-Based Tracking of Every Cell in a Dense, Growing Colony.
Algorithms
Huy Pham, Emile R. Shehada, Shawna Stahlheber, Kushagra Pandey, Wayne B. Hayes