PPaperPicks

Mykola Pechenizkiy

Eindhoven University of Technology, Netherlands

43 papers at tracked venues · 17 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0003-4955-0743 ↗Google Scholar ↗Homepage ↗

Venues

ECML-PKDD ×13ACL ×5ICLR ×4AAAI ×3AAMAS ×3EMNLP ×3ICML ×3ECAI ×2NeurIPS ×2AISTATS ×1BMVC ×1EACL ×1ICDM ×1InterSpeech ×1

Frequent coauthors

Meng Fang
×17
Decebal Constantin Mocanu
×10
Jiaxu Zhao
×5
Ling Chen
×5
Boqian Wu
×5
Qiao Xiao
×5
Mattia Cerrato
×4
Danguole Kalinauskaite
×4
Mantas Lukosevicius
×4
Kristina Sutiene
×4
Shiwei Liu
×4
Lu Yin
×4

Papers

  1. Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models
    AAAI 2026 ·
    Jiaxu Zhao
    ,
    Meng Fang
    ,
    Mingze Zhong
    ,
    Shunfeng Zheng
    ,
    Ling Chen
    , Mykola Pechenizkiy
  2. MATH-IDN: A Multilingual Mathematical Problem Solving Dataset Featuring Local Languages in Indonesia
    EACL 2026 ·
    Xiao Xiao
    ,
    Iftitahu Ni'mah
    ,
    Yuyun Wabula
    , Mykola Pechenizkiy,
    Meng Fang
  3. Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part IX
    ECML-PKDD 2026 ·
    Inês Dutra
    , Mykola Pechenizkiy,
    Paulo Cortez
    ,
    Sepideh Pashami
    ,
    Alípio M. Jorge
    ,
    Carlos Soares
    ,
    Pedro H. Abreu
    ,
    João Gama
  4. Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part X
    ECML-PKDD 2026 ·
    Inês Dutra
    , Mykola Pechenizkiy,
    Paulo Cortez
    ,
    Sepideh Pashami
    ,
    Arian Pasquali
    ,
    Nuno Moniz
    ,
    Alípio M. Jorge
    ,
    Carlos Soares
    ,
    Pedro H. Abreu
    ,
    João Gama
  5. Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VIII
    ECML-PKDD 2026 ·
    Bernhard Pfahringer
    ,
    Nathalie Japkowicz
    ,
    Pedro Larrañaga
    ,
    Rita P. Ribeiro
    ,
    Inês Dutra
    , Mykola Pechenizkiy,
    Paulo Cortez
    ,
    Sepideh Pashami
    ,
    Alípio M. Jorge
    ,
    Carlos Soares
    ,
    Pedro H. Abreu
    ,
    João Gama
  6. Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Revised Selected Papers, Part I
    ECML-PKDD 2026 ·
    Mattia Cerrato
    ,
    Danguole Kalinauskaite
    ,
    Mantas Lukosevicius
    , Mykola Pechenizkiy,
    Kristina Sutiene
  7. Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Revised Selected Papers, Part II
    ECML-PKDD 2026 ·
    Mattia Cerrato
    ,
    Danguole Kalinauskaite
    ,
    Mantas Lukosevicius
    , Mykola Pechenizkiy,
    Kristina Sutiene
  8. Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Revised Selected Papers, Part III
    ECML-PKDD 2026 ·
    Mattia Cerrato
    ,
    Danguole Kalinauskaite
    ,
    Mantas Lukosevicius
    , Mykola Pechenizkiy,
    Kristina Sutiene
  9. Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Revised Selected Papers, Part IV
    ECML-PKDD 2026 ·
    Mattia Cerrato
    ,
    Danguole Kalinauskaite
    ,
    Mantas Lukosevicius
    , Mykola Pechenizkiy,
    Kristina Sutiene
  10. MuBench: Assessment of Multilingual Capabilities of Large Language Models Across 61 Languages
    ACL 2026 ·
    Wenhan Han
    ,
    Yifan Zhang
    ,
    Zhixun Chen
    ,
    Binbin Liu
    , Mykola Pechenizkiy,
    Meng Fang
    ,
    Yin Zheng
  11. mPresenter: An Agentic Framework for Generating Multilingual Presentation Videos from Scientific Papers
    ACL 2026 ·
    Wenhan Han
    ,
    Xiao Xiao
    , Mykola Pechenizkiy,
    Meng Fang
  12. Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving
    EMNLP 2025 ·
    Shunfeng Zheng
    ,
    Yudi Zhang
    ,
    Meng Fang
    ,
    Zihan Zhang
    ,
    Zhitan Wu
    , Mykola Pechenizkiy,
    Ling Chen
  13. Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles
    ICDM 2025 ·
    Xin Du
    ,
    Subramanian Ramamoorthy
    ,
    Wouter Duivesteijn
    ,
    Jin Tian
    , Mykola Pechenizkiy
  14. Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic Sparsity
    AAMAS 2025 ·
    Calarina Muslimani
    ,
    Bram Grooten
    ,
    Deepak Ranganatha Sastry Mamillapalli
    , Mykola Pechenizkiy,
    Decebal Constantin Mocanu
    ,
    Matthew E. Taylor
  15. Conformalized Exceptional Model Mining: Telling Where Your Model Performs (Not) Well
    ECML-PKDD 2025 ·
    Xin Du
    ,
    Sikun Yang
    ,
    Wouter Duivesteijn
    , Mykola Pechenizkiy
  16. Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness
    ICLR 2025 ·
    Boqian Wu
    ,
    Qiao Xiao
    ,
    Shunxin Wang
    ,
    Nicola Strisciuglio
    , Mykola Pechenizkiy,
    Maurice van Keulen
    ,
    Decebal Constantin Mocanu
    ,
    Elena Mocanu
  17. From Benchmarking to Understanding FairML
    ECAI 2025 · Mykola Pechenizkiy,
    Hilde J. P. Weerts
    ,
    Cassio de Campos
    ,
    Yuya Sasaki
    ,
    Julia Stoyanovich
  18. HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents
    ICLR 2025 ·
    Tristan Tomilin
    ,
    Meng Fang
    , Mykola Pechenizkiy
  19. Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization
    ICML 2025 ·
    Yucheng Yang
    ,
    Tianyi Zhou
    , Mykola Pechenizkiy,
    Meng Fang
  20. REOBench: Benchmarking Robustness of Earth Observation Foundation Models
    NeurIPS 2025 ·
    Xiang Li
    ,
    Yong Tao
    ,
    Siyuan Zhang
    ,
    Siwei Liu
    ,
    Zhitong Xiong
    ,
    Chunbo Luo
    ,
    Lu Liu
    , Mykola Pechenizkiy,
    Xiaoxiang Zhu
    ,
    Tianjin Huang
  21. RuAG: Learned-rule-augmented Generation for Large Language Models
    ICLR 2025 ·
    Yudi Zhang
    ,
    Pei Xiao
    ,
    Lu Wang
    ,
    Chaoyun Zhang
    ,
    Meng Fang
    ,
    Yali Du
    ,
    Yevgeniy Puzyrev
    ,
    Randolph Yao
    ,
    Si Qin
    ,
    Qingwei Lin
    , Mykola Pechenizkiy,
    Dongmei Zhang
    ,
    Saravan Rajmohan
    ,
    Qi Zhang
  22. Understanding Large Language Model Vulnerabilities to Social Bias Attacks
    ACL 2025 ·
    Jiaxu Zhao
    ,
    Meng Fang
    ,
    Fanghua Ye
    ,
    Ke Xu
    ,
    Qin Zhang
    ,
    Joey Tianyi Zhou
    , Mykola Pechenizkiy
  23. Unmasking Style Sensitivity: A Causal Analysis of Bias Evaluation Instability in Large Language Models
    ACL 2025 ·
    Jiaxu Zhao
    ,
    Meng Fang
    ,
    Kun Zhang
    , Mykola Pechenizkiy
  24. Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective
    AAAI 2025 ·
    Can Jin
    ,
    Tianjin Huang
    ,
    Yihua Zhang
    , Mykola Pechenizkiy,
    Sijia Liu
    ,
    Shiwei Liu
    ,
    Tianlong Chen
  25. Achieving Long-Term Time Series Forecasting Models with Fewer Than 1k Parameters Through Dynamic Sparse Training
    ECML-PKDD 2024 ·
    Qiao Xiao
    ,
    Boqian Wu
    , Mykola Pechenizkiy,
    Decebal Constantin Mocanu
  26. Adaptive Sparsity Level During Training for Efficient Time Series Forecasting with Transformers
    ECML-PKDD 2024 ·
    Zahra Atashgahi
    , Mykola Pechenizkiy,
    Raymond N. J. Veldhuis
    ,
    Decebal Constantin Mocanu
  27. Are Sparse Neural Networks Better Hard Sample Learners?
    BMVC 2024 ·
    Qiao Xiao
    ,
    Boqian Wu
    ,
    Lu Yin
    ,
    Christopher Neil Gadzinski
    ,
    Tianjin Huang
    , Mykola Pechenizkiy,
    Decebal Constantin Mocanu
  28. Automatic Curriculum for Unsupervised Reinforcement Learning
    AAMAS 2024 ·
    Yucheng Yang
    ,
    Tianyi Zhou
    ,
    Lei Han
    ,
    Meng Fang
    , Mykola Pechenizkiy
  29. CHAmbi: A New Benchmark on Chinese Ambiguity Challenges for Large Language Models
    EMNLP 2024 ·
    Qin Zhang
    ,
    Sihan Cai
    ,
    Jiaxu Zhao
    , Mykola Pechenizkiy,
    Meng Fang
  30. Dynamic Data Pruning for Automatic Speech Recognition
    InterSpeech 2024 ·
    Qiao Xiao
    ,
    Pingchuan Ma
    ,
    Adriana Fernandez-Lopez
    ,
    Boqian Wu
    ,
    Lu Yin
    ,
    Stavros Petridis
    , Mykola Pechenizkiy,
    Maja Pantic
    ,
    Decebal Constantin Mocanu
    ,
    Shiwei Liu
  31. E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation
    NeurIPS 2024 ·
    Boqian Wu
    ,
    Qiao Xiao
    ,
    Shiwei Liu
    ,
    Lu Yin
    , Mykola Pechenizkiy,
    Decebal Constantin Mocanu
    ,
    Maurice van Keulen
    ,
    Elena Mocanu
  32. Efficient Exploration in Average-Reward Constrained Reinforcement Learning: Achieving Near-Optimal Regret With Posterior Sampling
    ICML 2024 ·
    Danil Provodin
    ,
    Maurits Clemens Kaptein
    , Mykola Pechenizkiy
  33. Everyone Deserves their Voice to Be Heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data
    ECML-PKDD 2024 ·
    Rik Raes
    ,
    Saskia Lensink
    , Mykola Pechenizkiy
  34. Exceptional Subitizing Patterns: Exploring Mathematical Abilities of Finnish Primary School Children with Piecewise Linear Regression
    ECML-PKDD 2024 ·
    Rianne Margaretha Schouten
    ,
    Wouter Duivesteijn
    ,
    Pekka Räsänen
    ,
    Jacob M. Paul
    , Mykola Pechenizkiy
  35. Large Language Models Are Neurosymbolic Reasoners
    AAAI 2024 ·
    Meng Fang
    ,
    Shilong Deng
    ,
    Yudi Zhang
    ,
    Zijing Shi
    ,
    Ling Chen
    , Mykola Pechenizkiy,
    Jun Wang
  36. MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning
    AAMAS 2024 ·
    Bram Grooten
    ,
    Tristan Tomilin
    ,
    Gautham Vasan
    ,
    Matthew E. Taylor
    ,
    A. Rupam Mahmood
    ,
    Meng Fang
    , Mykola Pechenizkiy,
    Decebal Constantin Mocanu
  37. MedINST: Meta Dataset of Biomedical Instructions
    EMNLP 2024 ·
    Wenhan Han
    ,
    Meng Fang
    ,
    Zihan Zhang
    ,
    Yu Yin
    ,
    Zirui Song
    ,
    Ling Chen
    , Mykola Pechenizkiy,
    Qingyu Chen
  38. More than Minorities and Majorities: Understanding Multilateral Bias in Language Generation
    ACL 2024 ·
    Jiaxu Zhao
    ,
    Zijing Shi
    ,
    Yitong Li
    ,
    Yulong Pei
    ,
    Ling Chen
    ,
    Meng Fang
    , Mykola Pechenizkiy
  39. Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity
    ICML 2024 ·
    Lu Yin
    ,
    You Wu
    ,
    Zhenyu Zhang
    ,
    Cheng-Yu Hsieh
    ,
    Yaqing Wang
    ,
    Yiling Jia
    ,
    Gen Li
    ,
    Ajay Kumar Jaiswal
    , Mykola Pechenizkiy,
    Yi Liang
    ,
    Michael Bendersky
    ,
    Zhangyang Wang
    ,
    Shiwei Liu
  40. Subgroup Harm Assessor: Identifying Potential Fairness-Related Harms and Predictive Bias
    ECML-PKDD 2024 ·
    Adam Dubowski
    ,
    Hilde J. P. Weerts
    ,
    Anouk Wolters
    , Mykola Pechenizkiy
  41. Supervised Feature Selection via Ensemble Gradient Information from Sparse Neural Networks
    AISTATS 2024 ·
    Kaiting Liu
    ,
    Zahra Atashgahi
    ,
    Ghada Sokar
    , Mykola Pechenizkiy,
    Decebal Constantin Mocanu
  42. Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning
    ICLR 2024 ·
    Yucheng Yang
    ,
    Tianyi Zhou
    ,
    Qiang He
    ,
    Lei Han
    , Mykola Pechenizkiy,
    Meng Fang
  43. Unveiling the Power of Sparse Neural Networks for Feature Selection
    ECAI 2024 ·
    Zahra Atashgahi
    ,
    Tennison Liu
    , Mykola Pechenizkiy,
    Raymond N. J. Veldhuis
    ,
    Decebal Constantin Mocanu
    ,
    Mihaela van der Schaar