Justin Deschenaux
PhD Student in Machine Learning at 
Publications and pre-prints
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Beyond Autoregression: Fast LLMs via Self-Distillation Through Time Justin Deschenaux, Caglar Gulcehre. ArXiv preprint. (paper)
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Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders Viacheslav Surkov, Chris Wendler, Mikhail Terekhov, Justin Deschenaux, Robert West, Caglar Gulcehre. ArXiv preprint. (paper)
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Promises, Outlooks and Challenges of Diffusion Language Modeling Justin Deschenaux, Caglar Gulcehre. ArXiv preprint. (paper)
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Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations Justin Deschenaux, Igor Krawczuk, Grigorios Chrysos, Volkan Cevher. ICML 2024. (paper, code)
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Distributed extra-gradient with optimal complexity and communication guarantees Ali Ramezani-Kebrya, Kimon Antonakopoulos, Igor Krawczuk, Justin Deschenaux, Volkan Cevher. ICLR 2023. (paper, code)