No Cell Left behind: Automated, Stochastic, Physics-Based Tracking of Every Cell in a Dense, Growing Colony. - Huy Pham; Emile R. Shehada; Shawna Stahlheber; Kushagra Pandey; Wayne B. Hayes (Algorithms, 2022)

DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents. - Kushagra Pandey; Avideep Mukherjee; Piyush Rai; Abhishek Kumar 001 (Trans. Mach. Learn. Res., 2022)

A Complete Recipe for Diffusion Generative Models. - Kushagra Pandey; Stephan Mandt (ICCV, 2023)

Generative Diffusions in Augmented Spaces: A Complete Recipe. - Kushagra Pandey; Stephan Mandt (CoRR, 2023)

Efficient Integrators for Diffusion Generative Models. - Kushagra Pandey; Maja Rudolph; Stephan Mandt (ICLR, 2024)

Fast samplers for Inverse Problems in Iterative Refinement models. - Kushagra Pandey; Ruihan Yang; Stephan Mandt (NeurIPS, 2024)

Towards Fast Stochastic Sampling in Diffusion Generative Models. - Kushagra Pandey; Maja Rudolph; Stephan Mandt (CoRR, 2024)

On the Challenges and Opportunities in Generative AI. - Laura Manduchi; Kushagra Pandey; Robert Bamler; Ryan Cotterell; Sina Däubener; Sophie Fellenz; Asja Fischer; Thomas Gärtner 004; Matthias Kirchler; Marius Kloft; Yingzhen Li; Christoph Lippert; et al. (CoRR, 2024)

Heavy-Tailed Diffusion Models. - Kushagra Pandey; Jaideep Pathak; Yilun Xu; Stephan Mandt; Michael S. Pritchard; Arash Vahdat; Morteza Mardani (ICLR, 2025)

Variational Control for Guidance in Diffusion Models. - Kushagra Pandey; Farrin Marouf Sofian; Felix Draxler; Theofanis Karaletsos; Stephan Mandt (CoRR, 2025)