Justin Deschenaux

According to our database, Justin Deschenaux authored at least 8 papers between 2023 and 2025.

Collaborative distances:

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

2025

The Diffusion Duality.

Subham Sekhar Sahoo, Justin Deschenaux, Aaron Gokaslan, Guanghan Wang, Justin T. Chiu, Volodymyr Kuleshov

CoRR, June, 2025

Partition Generative Modeling: Masked Modeling Without Masks.

Justin Deschenaux, Lan Tran, Caglar Gulcehre

CoRR, May, 2025

Beyond Autoregression: Fast LLMs via Self-Distillation Through Time.

Justin Deschenaux, Caglar Gulcehre

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders.

Viacheslav Surkov, Chris Wendler, Mikhail Terekhov, Justin Deschenaux, Robert West, Caglar Gulcehre

CoRR, 2024

Promises, Outlooks and Challenges of Diffusion Language Modeling.

Justin Deschenaux, Caglar Gulcehre

CoRR, 2024

Going beyond compositional generalization, DDPMs can produce zero-shot interpolation.

Justin Deschenaux, Igor Krawczuk, Grigorios Chrysos, Volkan Cevher

CoRR, 2024

Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations.

Justin Deschenaux, Igor Krawczuk, Grigorios Chrysos, Volkan Cevher

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Distributed Extra-gradient with Optimal Complexity and Communication Guarantees.

Ali Ramezani-Kebrya, Kimon Antonakopoulos, Igor Krawczuk, Justin Deschenaux, Volkan Cevher

Proceedings of the Eleventh International Conference on Learning Representations, 2023