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129 Publications


2023 | Published | Conference Paper | IST-REx-ID: 17378 | OA
OPTQ: Accurate post-training quantization for generative pre-trained transformers
E. Frantar, S. Ashkboos, T. Hoefler, D.-A. Alistarh, in:, 11th International Conference on Learning Representations , International Conference on Learning Representations, 2023.
[Published Version] View | Files available
 

2023 | Published | Conference Paper | IST-REx-ID: 14458 | OA
SparseGPT: Massive language models can be accurately pruned in one-shot
E. Frantar, D.-A. Alistarh, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 10323–10337.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 

2023 | Research Data Reference | IST-REx-ID: 14619 | OA
BingqingCheng/solubility: V1.0
B. Cheng, (2023).
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 

2022 | Published | Journal Article | IST-REx-ID: 12079 | OA
Convergence rates for the Allen–Cahn equation with boundary contact energy: The non-perturbative regime
S. Hensel, M. Moser, Calculus of Variations and Partial Differential Equations 61 (2022).
[Published Version] View | Files available | DOI | WoS
 

2022 | Published | Journal Article | IST-REx-ID: 12179 | OA
On the condition number of the shifted real Ginibre ensemble
G. Cipolloni, L. Erdös, D.J. Schröder, SIAM Journal on Matrix Analysis and Applications 43 (2022) 1469–1487.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 12302 | OA
FORQ-based language inclusion formal testing
K. Doveri, P. Ganty, N.A. Mazzocchi, in:, Computer Aided Verification, Springer Nature, 2022, pp. 109–129.
[Published Version] View | Files available | DOI | WoS | arXiv
 

2022 | Published | Journal Article | IST-REx-ID: 12495 | OA
FLEA: Provably robust fair multisource learning from unreliable training data
E.B. Iofinova, N.H. Konstantinov, C. Lampert, Transactions on Machine Learning Research (2022).
[Published Version] View | Files available | Download Published Version (ext.) | 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: 10769 | OA
Non relativistic quantum field theory: Dynamics and irreversibility
L. Daguerre, G. Torroba, R.A. Medina Ramos, M. Solís, Anales de la Asociacion Fisica Argentina 32 (2022) 93–98.
[Published Version] View | Files available | DOI
 

2022 | Published | Journal Article | IST-REx-ID: 10797 | OA
Orthogonal polynomial duality of boundary driven particle systems and non-equilibrium correlations
S. Floreani, F. Redig, F. Sau, Annales de l’institut Henri Poincare (B) Probability and Statistics 58 (2022) 220–247.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 18229 | OA
Self-supervised classification network
E. Amrani, L. Karlinsky, A.M. Bronstein, in:, 17th European Conference on Computer Vision, Springer Nature, 2022, pp. 116–132.
View | Files available | DOI | Download None (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 18231
Contrast to divide: Self-supervised pre-training for learning with noisy labels
E. Zheltonozhskii, C. Baskin, A. Mendelson, A.M. Bronstein, O. Litany, in:, IEEE/CVF Winter Conference on Applications of Computer Vision, Institute of Electrical and Electronics Engineers, 2022, pp. 387–397.
[Preprint] View | Files available | DOI | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 11839 | OA
Almost-orthogonal layers for efficient general-purpose Lipschitz networks
B. Prach, C. Lampert, in:, Computer Vision – ECCV 2022, Springer Nature, 2022, pp. 350–365.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 

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, IEEE, 2022, pp. 12256–12266.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | 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 | Journal Article | IST-REx-ID: 11604 | OA
TESS Data for Asteroseismology (T’DA) stellar variability classification pipeline: Setup and application to the Kepler Q9 data
J. Audenaert, J.S. Kuszlewicz, R. Handberg, A. Tkachenko, D.J. Armstrong, M. Hon, R. Kgoadi, M.N. Lund, K.J. Bell, L.A. Bugnet, D.M. Bowman, C. Johnston, R.A. García, D. Stello, L. Molnár, E. Plachy, D. Buzasi, C. Aerts, The Astronomical Journal 162 (2021).
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2021 | Published | Journal Article | IST-REx-ID: 10545 | OA [Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 

2021 | Research Data | IST-REx-ID: 9291 | OA [Published Version] View | Files available | DOI
 

2021 | Research Data | IST-REx-ID: 9323 | OA [Published Version] View | Files available | DOI
 

2021 | Scientific Software | IST-REx-ID: 9327 | OA View | Files available | DOI
 

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