Vage Egiazarian

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Compression Scheme

Top Venues

Publications

Tim Dettmers, Ruslan Svirschevski, Vage Egiazarian, Denis Kuznedelev, Elias Frantar, Saleh Ashkboos, Alexander Borzunov, Torsten Hoefler, Dan Alistarh
SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression. ICLR (2024)
Vage Egiazarian, Andrei Panferov, Denis Kuznedelev, Elias Frantar, Artem Babenko, Dan Alistarh
Extreme Compression of Large Language Models via Additive Quantization. CoRR (2024)
Arip Asadulaev, Alexander Korotin, Vage Egiazarian, Petr Mokrov, Evgeny Burnaev
Neural Optimal Transport with General Cost Functionals. ICLR (2024)
Tim Dettmers, Ruslan Svirschevski, Vage Egiazarian, Denis Kuznedelev, Elias Frantar, Saleh Ashkboos, Alexander Borzunov, Torsten Hoefler, Dan Alistarh
SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression. CoRR (2023)
Arip Asadulaev, Alexander Korotin, Vage Egiazarian, Evgeny Burnaev
Neural Optimal Transport with General Cost Functionals. CoRR (2022)
Albert Matveev, Ruslan Rakhimov, Alexey Artemov, Gleb Bobrovskikh, Vage Egiazarian, Emil Bogomolov, Daniele Panozzo, Denis Zorin, Evgeny Burnaev
DEF: deep estimation of sharp geometric features in 3D shapes. ACM Trans. Graph. 41 (4) (2022)
Alexander Korotin, Vage Egiazarian, Lingxiao Li, Evgeny Burnaev
Wasserstein Iterative Networks for Barycenter Estimation. CoRR (2022)
Alexander Korotin, Vage Egiazarian, Lingxiao Li, Evgeny Burnaev
Wasserstein Iterative Networks for Barycenter Estimation. NeurIPS (2022)
Alexander Korotin, Vage Egiazarian, Arip Asadulaev, Alexander Safin, Evgeny Burnaev
Wasserstein-2 Generative Networks. ICLR (2021)
Vage Egiazarian, Oleg Voynov, Alexey Artemov, Denis Volkhonskiy, Aleksandr Safin, Maria Taktasheva, Denis Zorin, Evgeny Burnaev
Deep Vectorization of Technical Drawings. CoRR (2020)
Vage Egiazarian, Savva Ignatyev, Alexey Artemov, Oleg Voynov, Andrey Kravchenko, Youyi Zheng, Luiz Velho, Evgeny Burnaev
Latent-space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds. VISIGRAPP (4: VISAPP) (2020)
Vage Egiazarian, Oleg Voynov, Alexey Artemov, Denis Volkhonskiy, Aleksandr Safin, Maria Taktasheva, Denis Zorin, Evgeny Burnaev
Deep Vectorization of Technical Drawings. ECCV (13) (2020)
Alexander Korotin, Vage Egiazarian, Arip Asadulaev, Evgeny Burnaev
Wasserstein-2 Generative Networks. CoRR (2019)
Denis Mazur, Vage Egiazarian, Stanislav Morozov, Artem Babenko
Beyond Vector Spaces: Compact Data Representationas Differentiable Weighted Graphs. CoRR (2019)
Oleg Voynov, Alexey Artemov, Vage Egiazarian, Alexandr Notchenko, Gleb Bobrovskikh, Evgeny Burnaev, Denis Zorin
Perceptual Deep Depth Super-Resolution. ICCV (2019)
Vage Egiazarian, Savva Ignatyev, Alexey Artemov, Oleg Voynov, Andrey Kravchenko, Youyi Zheng, Luiz Velho, Evgeny Burnaev
Latent-Space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds. CoRR (2019)
Denis Mazur, Vage Egiazarian, Stanislav Morozov, Artem Babenko
Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs. NeurIPS (2019)
O. Voinov, Alexey Artemov, Vage Egiazarian, Alexandr Notchenko, Gleb Bobrovskikh, Denis Zorin, Evgeniy Burnaev
Perceptually-based single-image depth super-resolution. CoRR (2018)