Distributed Extra-gradient with Optimal Complexity and Communication Guarantees. - Ali Ramezani-Kebrya; Kimon Antonakopoulos; Igor Krawczuk; Justin Deschenaux; Volkan Cevher (ICLR, 2023)

Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations. - Justin Deschenaux; Igor Krawczuk; Grigorios Chrysos 002; Volkan Cevher (ICML, 2024)

Going beyond compositional generalization, DDPMs can produce zero-shot interpolation. - Justin Deschenaux; Igor Krawczuk; Grigorios Chrysos 002; Volkan Cevher (CoRR, 2024)

Promises, Outlooks and Challenges of Diffusion Language Modeling. - Justin Deschenaux; Caglar Gulcehre (CoRR, 2024)

Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders. - Viacheslav Surkov; Chris Wendler; Mikhail Terekhov; Justin Deschenaux; Robert West 001; Caglar Gulcehre (CoRR, 2024)

Beyond Autoregression: Fast LLMs via Self-Distillation Through Time. - Justin Deschenaux; Caglar Gulcehre (ICLR, 2025)

Partition Generative Modeling: Masked Modeling Without Masks. - Justin Deschenaux; Lan Tran; Caglar Gulcehre (CoRR, 2025)

The Diffusion Duality. - Subham Sekhar Sahoo; Justin Deschenaux; Aaron Gokaslan; Guanghan Wang; Justin T. Chiu; Volodymyr Kuleshov (CoRR, 2025)