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2020 – today
- 2026
[j1]Matteo Bunino
, Jarl Sæther, Linus Eickhoff, Anna Lappe, Kalliopi Tsolaki, Killian Verder, Henry Mutegeki, Roman Machacek, Maria Girone, Oleksandr Krochak, Mario Rüttgers, Rakesh Sarma, Andreas Lintermann:
itwinai: A Python Toolkit for Scalable Scientific Machine Learning on HPC Systems. J. Open Source Softw. 11(117): 9409 (2026)- [c4]Alejandro Hernández-Cano, Alexander Hägele, Allen Hao Huang, Angelika Romanou, Antoni-Joan Solergibert i Llaquet, Barna Pásztor, Bettina Messmer, Dhia Garbaya, Eduard Frank Durech, Ido Hakimi, Juan Garcia Giraldo, Mete Ismayilzada, Negar Foroutan, Skander Moalla, Tiancheng Chen, Vinko Sabolcec, Yixuan Even Xu, Michael Aerni, Badr AlKhamissi, Ines Altemir Marinas, Mohammad Hossein Amani, Matin Ansaripour, Ilia Badanin, Harold Benoit, Emanuela Boros, Nicholas John Browning, Fabian Bösch, Maximilian Böther, Niklas Canova, Camille Challier, Clément Charmillot, Jonathan Coles, Jan Milan Deriu, Arnout Devos, Lukas Drescher, Daniil Dzenhaliou, Maud Ehrmann, Dongyang Fan, Simin Fan, Silin Gao, Miguel Gila, María Grandury, Diba Hashemi, Alexander Miserlis Hoyle, Jiaming Jiang, Mark Klein, Andrei Kucharavy, Anastasiia Kucherenko, Frederike Lübeck, Roman Machacek, Theofilos Ioannis Manitaras, Andreas Marfurt, Kyle Matoba, Simon Matrenok, Henrique Mendonça, Fawzi Roberto Mohamed, Syrielle Montariol, Luca Mouchel, Sven Najem-Meyer, Jingwei Ni, Gennaro Oliva, Matteo Pagliardini, Elia Palme, Andrei Panferov, Léo Paoletti, Marco Passerini, Ivan Pavlov, Auguste Poiroux, Kaustubh Ponkshe, Nathan Ranchin, Javier Rando, Mathieu Sauser, Jakhongir Saydaliev, Mukhammadali Sayfiddinov, Marian Schneider, Stefano Schuppli, Marco Scialanga, Andrei Semenov, Kumar Shridhar, Raghav Singhal, Anna Sotnikova, Alexander Sternfeld, Ayush Kumar Tarun, Paul Teiletche, Jannis Vamvas, Xiaozhe Yao, Hao Zhao, Alexander Ilic, Ana Klimovic, Andreas Krause, Caglar Gulcehre, David Rosenthal, Elliott Ash, Florian Tramèr, Joost VandeVondele, Livio Veraldi, Martin Rajman, Thomas C. Schulthess, Torsten Hoefler, Antoine Bosselut, Martin Jaggi, Imanol Schlag:
Apertus: Democratizing Open and Compliant LLMs for Global Language Environments. ACL (1) 2026: 46877-46955 - [i5]Rustem Islamov, Roman Machacek, Aurélien Lucchi, Antonio Silveti-Falls, Eduard Gorbunov, Volkan Cevher:
On the Role of Batch Size in Stochastic Conditional Gradient Methods. CoRR abs/2603.21191 (2026) - [i4]Thomas Pethick, Wanyun Xie, Roman Machacek, Volkan Cevher:
Optimistic Dual Averaging Unifies Modern Optimizers. CoRR abs/2605.11172 (2026) - 2025
- [c3]Roman Machácek, Anastasiia Grishina, Max Hort, Leon Moonen:
The Impact of Fine-Tuning Large Language Models on Automated Program Repair. ICSME 2025: 380-392 - [c2]Pablo Valenzuela-Toledo, Chuyue Wu, Sandro Hernández, Alexander Boll, Roman Machácek, Sebastiano Panichella, Timo Kehrer:
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations. ICPC 2025: 286-297 - [i3]Pablo Valenzuela-Toledo, Chuyue Wu, Sandro Hernández, Alexander Boll, Roman Machácek, Sebastiano Panichella, Timo Kehrer:
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations. CoRR abs/2501.16495 (2025) - [i2]Roman Machácek, Anastasiia Grishina, Max Hort, Leon Moonen:
The Impact of Fine-tuning Large Language Models on Automated Program Repair. CoRR abs/2507.19909 (2025) - 2023
- [c1]Roman Machácek, Leila Mozaffari, Zahra Sepasdar, Sravanthi Parasa, Pål Halvorsen, Michael A. Riegler, Vajira Thambawita:
Mask-conditioned latent diffusion for generating gastrointestinal polyp images. ICDAR@ICMR 2023: 1-9 - [i1]Roman Machácek, Leila Mozaffari, Zahra Sepasdar, Sravanthi Parasa, Pål Halvorsen, Michael A. Riegler, Vajira Thambawita:
Mask-conditioned latent diffusion for generating gastrointestinal polyp images. CoRR abs/2304.05233 (2023)
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