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Ionut-Vlad Modoranu

Andrei Panferov

Sergei Pankratov

Dan Alistarh

Mahdi Nikdan

Eldar Kurtic

Soroush Tabesh

Alexander Fedorov

Vage Egiazarian

Jiale Chen

Alexandra Volkova

Erik Schultheis

Elias Frantar

Mher Safaryan

Trevor Brown

Sokolova, Mariia

Joel Rybicki

Peter Davies

Sidak Singh

Martin Töpfer

Elvir Crncevic

Alexandra Krumes

Vitalii Aksenov

Roberto Lopez Castro

Janne Korhonen

Bapi Chatterjee

Sharareh Alipour

Ilia Markov

Giorgi Nadiradze



164 Publications

2022 | Published | Conference Paper | IST-REx-ID: 12299 | OA
How well do sparse ImageNet models transfer?
E.B. Iofinova, A. Krumes, M. Kurtz, D.-A. Alistarh, in:, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Institute of Electrical and Electronics Engineers, 2022, pp. 12256–12266.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 12780 | OA
CGX: Adaptive system support for communication-efficient deep learning
I. Markov, H. Ramezanikebrya, D.-A. Alistarh, in:, Proceedings of the 23rd ACM/IFIP International Middleware Conference, Association for Computing Machinery, 2022, pp. 241–254.
[Published Version] View | Files available | DOI | WoS | arXiv
 
2022 | Research Data Reference | IST-REx-ID: 13076 | OA
Multi-queues can be state-of-the-art priority schedulers
A. Postnikova, N. Koval, G. Nadiradze, D.-A. Alistarh, (2022).
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 
2022 | Published | Conference Paper | IST-REx-ID: 11180 | OA
Multi-queues can be state-of-the-art priority schedulers
A. Postnikova, N. Koval, G. Nadiradze, D.-A. Alistarh, in:, Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Association for Computing Machinery, 2022, pp. 353–367.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 11181 | OA
PathCAS: An efficient middle ground for concurrent search data structures
T.A. Brown, W. Sigouin, D.-A. Alistarh, in:, Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Association for Computing Machinery, 2022, pp. 385–399.
[Published Version] View | Files available | DOI | WoS
 
2022 | Published | Conference Paper | IST-REx-ID: 11183 | OA
Beyond distributed subgraph detection: Induced subgraphs, multicolored problems and graph parameters
A. Nikabadi, J. Korhonen, in:, Q. Bramas, V. Gramoli, A. Milani (Eds.), 25th International Conference on Principles of Distributed Systems, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022.
[Published Version] View | Files available | DOI
 
2022 | Published | Conference Paper | IST-REx-ID: 11184 | OA
Fast graphical population protocols
D.-A. Alistarh, R. Gelashvili, J. Rybicki, in:, Q. Bramas, V. Gramoli, A. Milani (Eds.), 25th International Conference on Principles of Distributed Systems, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022.
[Published Version] View | Files available | DOI | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 17059 | OA
SPDY: Accurate pruning with speedup guarantees
E. Frantar, D.-A. Alistarh, in:, 39th International Conference on Machine Learning, ML Research Press, 2022, pp. 6726–6743.
[Published Version] View | Files available | WoS
 
2022 | Published | Conference Paper | IST-REx-ID: 17087 | OA
Optimal brain compression: A framework for accurate post-training quantization and pruning
E. Frantar, S.P. Singh, D.-A. Alistarh, in:, 36th Conference on Neural Information Processing Systems, ML Research Press, 2022.
[Submitted Version] View | Files available | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 17088 | OA
The optimal BERT surgeon: Scalable and accurate second-order pruning for large language models
E. Kurtic, D. Campos, T. Nguyen, E. Frantar, M. Kurtz, B. Fineran, M. Goin, D.-A. Alistarh, in:, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, 2022, pp. 4163–4181.
[Published Version] View | Files available | DOI | arXiv
 
2022 | Published | Journal Article | IST-REx-ID: 8286 | OA
Dynamic averaging load balancing on cycles
D.-A. Alistarh, G. Nadiradze, A. Sabour, Algorithmica 84 (2022) 1007–1029.
[Published Version] View | Files available | DOI | WoS | arXiv
 
2022 | Published | Journal Article | IST-REx-ID: 11420 | OA
Mean-field analysis of piecewise linear solutions for wide ReLU networks
A. Shevchenko, V. Kungurtsev, M. Mondelli, Journal of Machine Learning Research 23 (2022) 1–55.
[Published Version] View | Files available | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 11452 | OA
Distributed principal component analysis with limited communication
F. Alimisis, P. Davies, B. Vandereycken, D.-A. Alistarh, in:, Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2021, pp. 2823–2834.
[Published Version] View | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 11458 | OA
AC/DC: Alternating Compressed/DeCompressed training of deep neural networks
A. Krumes, E.B. Iofinova, A. Vladu, D.-A. Alistarh, in:, 35th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2021, pp. 8557–8570.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 11463 | OA
M-FAC: Efficient matrix-free approximations of second-order information
E. Frantar, E. Kurtic, D.-A. Alistarh, in:, 35th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2021, pp. 14873–14886.
[Published Version] View | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 11464 | OA
Towards tight communication lower bounds for distributed optimisation
D.-A. Alistarh, J. Korhonen, in:, 35th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2021, pp. 7254–7266.
[Published Version] View | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 13147 | OA
Communication-efficient distributed optimization with quantized preconditioners
F. Alimisis, P. Davies, D.-A. Alistarh, in:, Proceedings of the 38th International Conference on Machine Learning, ML Research Press, 2021, pp. 196–206.
[Published Version] View | Files available | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 15263 | OA
Momentum improves optimization on Riemannian manifolds
F. Alimisis, A. Orvieto, G. Becigneul, A. Lucchi, in:, Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, ML Research Press, 2021, pp. 1351–1359.
[Published Version] View | Download Published Version (ext.) | arXiv
 
2021 | Published | Journal Article | IST-REx-ID: 15267 | OA
Exploiting spontaneous transmissions for broadcasting and leader election in radio networks
A. Czumaj, P. Davies, Journal of the ACM 68 (2021).
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2021 | Published | Journal Article | IST-REx-ID: 15271
Simple, deterministic, constant-round coloring in congested clique and MPC
A. Czumaj, P. Davies, M. Parter, SIAM Journal on Computing 50 (2021) 1603–1626.
View | DOI | WoS
 

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