Jan Hula

39 papers A* 1A 1B 1C 5Journal 19Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Minimizing the weighted number of tardy jobs: data-driven heuristic for single-machine scheduling.
Comput. Oper. Res.
Nikolai Antonov, Premysl Sucha, Mikolás Janota, Jan Hula
2026 J jnl
Neural approaches to SAT solving: Design choices and interpretability.
Int. J. Approx. Reason.
David Mojzísek, Jan Hula, Ziwei Li, Ziyu Zhou, Mikolás Janota
2025 J jnl
A machine learning approach to rank pricing problems in branch-and-price.
Eur. J. Oper. Res.
Pavlína Koutecká, Premysl Sucha, Jan Hula, Broos Maenhout
2025 — conf
Ability Transfer Through Language Mixing.
IJCNLP-AACL (long papers)
Petr Hyner, Jan Mrógala, Jan Hula
2025 J jnl
BenCzechMark : A Czech-Centric Multitask and Multimetric Benchmark for Large Language Models with Duel Scoring Mechanism.
Trans. Assoc. Comput. Linguistics
Martin Fajcik, Martin Docekal, Jan Dolezal, Karel Ondrej, Karel Benes, Jan Kapsa, Pavel Smrz, Alexander Polok, Michal Hradis, Zuzana Neverilová, Ales Horák, Radoslav Sabol, Michal Stefánik, Adam Jirkovsky, David Adamczyk, Petr Hyner, Jan Hula, Hynek Kydlícek
2025 J jnl
Geometric Reasoning in the Embedding Space.
CoRR
Jan Hula, David Mojzísek, Jirí Janecek, David Herel, Mikolás Janota
2025 J jnl
Geometric Reasoning in the Embedding Space.
Mach. Learn. Knowl. Extr.
David Mojzísek, Jan Hula, Jirí Janecek, David Herel, Mikolás Janota
2025 — conf
Learning to Search with Subgoals.
IWANN (1)
Petr Hyner, Jan Mrógala, Krystof Krmaschek, Jan Hula
2025 J jnl
Minimizing the Weighted Number of Tardy Jobs: Data-Driven Heuristic for Single-Machine Scheduling.
CoRR
Nikolai Antonov, Premysl Sucha, Mikolás Janota, Jan Hula
2025 J jnl
Neural Approaches to SAT Solving: Design Choices and Interpretability.
CoRR
David Mojzísek, Jan Hula, Ziwei Li, Ziyu Zhou, Mikolás Janota
2024 J jnl
BenCzechMark : A Czech-centric Multitask and Multimetric Benchmark for Large Language Models with Duel Scoring Mechanism.
CoRR
Martin Fajcik, Martin Docekal, Jan Dolezal, Karel Ondrej, Karel Benes, Jan Kapsa, Pavel Smrz, Alexander Polok, Michal Hradis, Zuzana Neverilová, Ales Horák, Radoslav Sabol, Michal Stefánik, Adam Jirkovsky, David Adamczyk, Petr Hyner, Jan Hula, Hynek Kydlícek
2024 C conf
Efficient Solver Scheduling and Selection for Satisfiability Modulo Theories (SMT) Problems.
ICPRAM
David Mojzísek, Jan Hula
2024 C conf
Efficient Use of Large Language Models for Analysis of Text Corpora.
ICPRAM
David Adamczyk, Jan Hula
2024 C conf
Stealing Brains: From English to Czech Language Model.
IJCCI
Petr Hyner, Petr Marek, David Adamczyk, Jan Hula, Jan Sedivý
2024 A* conf
Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model.
ICML
Mikail Khona, Maya Okawa, Jan Hula, Rahul Ramesh, Kento Nishi, Robert P. Dick, Ekdeep Singh Lubana, Hidenori Tanaka
2024 J jnl
Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model.
CoRR
Mikail Khona, Maya Okawa, Jan Hula, Rahul Ramesh, Kento Nishi, Robert P. Dick, Ekdeep Singh Lubana, Hidenori Tanaka
2024 A conf
Understanding GNNs for Boolean Satisfiability through Approximation Algorithms.
CIKM
Jan Hula, David Mojzísek, Mikolás Janota
2024 J jnl
Understanding GNNs for Boolean Satisfiability through Approximation Algorithms.
CoRR
Jan Hula, David Mojzísek, Mikolás Janota
2023 — conf
Fast Heuristic for Ricochet Robots.
ICAART (1)
Jan Hula, David Adamczyk, Mikolás Janota
2023 C conf
Molecule Builder: Environment for Testing Reinforcement Learning Agents.
IJCCI
Petr Hyner, Jan Hula, Mikolás Janota
2022 — conf
3D Shapes Classification Using Intermediate Parts Representation.
IPMU (2)
Jan Hula, David Mojzísek, David Adamczyk
2022 — conf
Analysis of the Semantic Vector Space Induced by a Neural Language Model and a Corpus.
ITAT
Xinying Chen, Jan Hula, Antonín Dvorák
2022 J jnl
Binary cross-entropy with dynamical clipping.
Neural Comput. Appl.
Petr Hurtík, Stefania Tomasiello, Jan Hula, David Hynar
2022 — conf
Image Classifier with Dynamic Set of Known Classes.
ITAT
David Mojzísek, Jan Hula
2022 J jnl
Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3.
Neural Comput. Appl.
Petr Hurtík, Vojtech Molek, Jan Hula, Marek Vajgl, Pavel Vlasánek, Tomas Nejezchleba
2022 C conf
Targeted Configuration of an SMT Solver.
CICM
Jan Hula, Jan Jakubuv, Mikolás Janota, Lukás Kubej
2021 B conf
Graph Neural Networks for Scheduling of SMT Solvers.
ICTAI
Jan Hula, David Mojzísek, Mikolás Janota
2021 — conf
Segmenting out Generic Objects in Monocular Videos.
ITAT
Jan Hula, David Adamczyk, David Mojzísek, Vojtech Molek
2020 — conf
Acquiring Custom OCR System with Minimal Manual Annotation.
DSMP
Jan Hula, David Mojzísek, David Adamczyk, Radek Cech
2020 J jnl
Data Preprocessing Technique for Neural Networks Based on Image Represented by a Fuzzy Function.
IEEE Trans. Fuzzy Syst.
Petr Hurtík, Vojtech Molek, Jan Hula
2020 — conf
Keypoints Selection Using Evolutionary Algorithms.
ITAT
David Adamczyk, Jan Hula
2020 J jnl
Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3.
CoRR
Petr Hurtík, Vojtech Molek, Jan Hula, Marek Vajgl, Pavel Vlasánek, Tomas Nejezchleba
2020 — conf
Unsupervised Object-aware Learning from Videos.
DSMP
Jan Hula
2019 — conf
Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling.
ACL (1)
Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen, Benjamin Van Durme, Edouard Grave, Ellie Pavlick, Samuel R. Bowman
2019 J jnl
Context Specificity of Lemma. Diachronic Analysis.
Glottometrics
Jan Hula, Miroslav Kubát, Radek Cech, Xinying Chen, David Cíz, Katerina Pelegrinová, Jirí Milicka
2019 J jnl
Identifying collaborators in large codebases.
CoRR
Waren Long, Vadim Markovtsev, Hugo Mougard, Egor Bulychev, Jan Hula
2019 J jnl
The Development of Context Specificity of Lemma. A Word Embeddings Approach.
J. Quant. Linguistics
Radek Cech, Jan Hula, Miroslav Kubát, Xinying Chen, Jirí Milicka
2018 J jnl
Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling.
CoRR
Samuel R. Bowman, Ellie Pavlick, Edouard Grave, Benjamin Van Durme, Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen
2017 — conf
Towards Visual Training Set Generation Framework.
IWANN (2)
Jan Hula, Irina Perfilieva, Ali Ahsan Muhummad Muzaheed