Egiazarian, Vage

12 publications

NeurIPS 2025 AutoJudge: Judge Decoding Without Manual Annotation Roman Garipov, Fedor Velikonivtsev, Ivan Ermakov, Ruslan Svirschevski, Vage Egiazarian, Max Ryabinin

ICML 2025 Cache Me if You Must: Adaptive Key-Value Quantization for Large Language Models Alina Shutova, Vladimir Malinovskii, Vage Egiazarian, Denis Kuznedelev, Denis Mazur, Surkov Nikita, Ivan Ermakov, Dan Alistarh

NeurIPS 2025 Hogwild! Inference: Parallel LLM Generation via Concurrent Attention Gleb Rodionov, Roman Garipov, Alina Shutova, George Yakushev, Erik Schultheis, Vage Egiazarian, Anton Sinitsin, Denis Kuznedelev, Dan Alistarh

NeurIPS 2025 Unified Scaling Laws for Compressed Representations Andrei Panferov, Alexandra Volkova, Ionut-Vlad Modoranu, Vage Egiazarian, Mher Safaryan, Dan Alistarh

ICML 2024 Extreme Compression of Large Language Models via Additive Quantization Vage Egiazarian, Andrei Panferov, Denis Kuznedelev, Elias Frantar, Artem Babenko, Dan Alistarh

ICLR 2024 Neural Optimal Transport with General Cost Functionals Arip Asadulaev, Alexander Korotin, Vage Egiazarian, Petr Mokrov, Evgeny Burnaev

NeurIPS 2024 Rethinking Optimal Transport in Offline Reinforcement Learning Arip Asadulaev, Rostislav Korst, Alexander Korotin, Vage Egiazarian, Andrey Filchenkov, Evgeny Burnaev

ICLR 2024 SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression Tim Dettmers, Ruslan A. Svirschevski, Vage Egiazarian, Denis Kuznedelev, Elias Frantar, Saleh Ashkboos, Alexander Borzunov, Torsten Hoefler, Dan Alistarh

NeurIPS 2022 Wasserstein Iterative Networks for Barycenter Estimation Alexander Korotin, Vage Egiazarian, Lingxiao Li, Evgeny Burnaev

ICLR 2021 Wasserstein-2 Generative Networks Alexander Korotin, Vage Egiazarian, Arip Asadulaev, Alexander Safin, Evgeny Burnaev

ECCV 2020 Deep Vectorization of Technical Drawings Vage Egiazarian, Oleg Voynov, Alexey Artemov, Denis Volkhonskiy, Aleksandr Safin, Maria Taktasheva, Denis Zorin, Evgeny Burnaev

NeurIPS 2019 Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs Denis Mazur, Vage Egiazarian, Stanislav Morozov, Artem Babenko