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Ignacy Stepka
PhD student, Machine Learning Department, CMU, Carnegie Mellon University
Joined
August 2024
Names
Ignacy Stepka
(Preferred)
,
Ignacy Stępka
Emails
****@andrew.cmu.edu
(Confirmed)
,
****@put.poznan.pl
(Confirmed)
,
****@gmail.com
(Confirmed)
,
****@cs.cmu.edu
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
LinkedIn
Semantic Scholar
Career & Education History
PhD student
Machine Learning Department,
CMU, Carnegie Mellon University
(andrew.cmu.edu)
2025
–
Present
Intern
Faculty of Computing and Telecomunications,
Technical University of Poznan
(put.poznan.pl)
2024
–
2025
Intern
Robotics Institute,
CMU, Carnegie Mellon University
(andrew.cmu.edu)
2023
–
2025
Undergrad student
Faculty of Computing and Telecomunications,
Technical University of Poznan
(put.poznan.pl)
2020
–
2025
Advisors, Relations & Conflicts
Coauthor
Willa Potosnak
2025
–
Present
Coauthor
Dan Howarth
2025
–
Present
Coauthor
Mononito Goswami
2025
–
Present
Coworker
Brad Shook
2025
–
Present
Coworker
Jieshi Chen
2025
–
Present
Coworker
Yuchen Shen
2025
–
Present
Coworker
Ian Wu
2025
–
Present
Coworker
Abihith Kothapalli
2025
–
Present
Coworker
Chenchen Gu
2025
–
Present
Coworker
Pranav Rajbhandari
2025
–
Present
Coworker
Jiayun Wu
2025
–
Present
Coworker
Abby Turner
2024
–
Present
Coworker
Xinyu Li
2024
–
Present
Coworker
Pablo Agustin Ortega-Kral
2024
–
Present
Coauthor
Michał Wiliński
2023
–
Present
PhD Advisor
Artur Dubrawski
2023
–
Present
Coauthor
Jerzy Stefanowski
2022
–
Present
Coauthor
Mateusz Lango
2021
–
Present
Coauthor
Kacper Trębacz
2024
–
2025
Coauthor
Jack Henry Good
2024
–
2025
Coworker
Nina Żukowska
2024
–
2025
Coauthor
Nicholas Gisolfi
2023
–
2025
Coauthor
Dariusz Brzezinski
2023
–
2024
Expertise
Time series
2025
–
Present
Tokenization
2025
–
Present
Time series foundation models
2025
–
Present
Multimodal time series models
2025
–
Present
Federated Learning
2024
–
2025
Gradient Inversion Attacks
2024
–
2025
Counterfactual explanations
2022
–
2025
eXplainable AI
2022
–
2025
Publications
MICA: Multivariate Infini Compressive Attention for Time Series Forecasting
Willa Potosnak
,
Nina Zukowska
,
Michal Wilinski
,
Dan Howarth
,
Ignacy Stepka
,
Mononito Goswami
,
Artur Dubrawski
CoRR 2026
Readers:
Everyone
Mitigating Persistent Client Dropout in Asynchronous Decentralized Federated Learning
Ignacy Stępka
,
Nicholas Gisolfi
,
Kacper Trębacz
,
Artur Dubrawski
FedKDD Workshop at KDD 2025
Readers:
Everyone
DetoxAI: a Python Toolkit for Debiasing Deep Learning Models in Computer Vision
Ignacy Stepka
,
Lukasz Sztukiewicz
,
Michal Wilinski
,
Jerzy Stefanowski
CoRR 2025
Readers:
Everyone
Towards Fairness for the Right Reasons: Using Saliency Maps to Evaluate Bias Removal in Neural Networks
Lukasz Sztukiewicz
,
Ignacy Stepka
,
Michal Wilinski
,
Jerzy Stefanowski
CoRR 2025
Readers:
Everyone
Counterfactual Explanations with Probabilistic Guarantees on their Robustness to Model Change
Ignacy Stepka
,
Jerzy Stefanowski
,
Mateusz Lango
KDD (1) 2025
Readers:
Everyone
A SAT-based approach to rigorous verification of Bayesian networks
Ignacy Stepka
,
Nicholas Gisolfi
,
Artur Dubrawski
CoRR 2024
Readers:
Everyone
A multi-criteria approach for selecting an explanation from the set of counterfactuals produced by an ensemble of explainers
Ignacy Stepka
,
Mateusz Lango
,
Jerzy Stefanowski
Int. J. Appl. Math. Comput. Sci. 2024
Readers:
Everyone
Co-Authors
Artur Dubrawski
Dan Howarth
Jerzy Stefanowski
Kacper Trębacz
Lukasz Sztukiewicz
Mateusz Lango
Michal Wilinski
Mononito Goswami
Nicholas Gisolfi
Nina Zukowska
Willa Potosnak