Ewa Szczurek

According to our database, Ewa Szczurek authored at least 32 papers between 2007 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Sample Efficient Generative Molecular Optimization with Joint Self-Improvement.

Serra Korkmaz, Adam Izdebski, Jonathan Pirnay, Rasmus Møller-Larsen, Michal Kmicikiewicz, Pankhil Gawade, Dominik G. Grimm, Ewa Szczurek

CoRR, February, 2026

ImmuVis: Hyperconvolutional Foundation Model for Imaging Mass Cytometry.

Marcin Mozejko, Dawid Uchal, Krzysztof Gogolewski, Piotr Kupidura, Szymon Lukasik, Jakub Giezgala, Tomasz Nocon, Kacper Pietrzyk, Robert Pieniuta, Mateusz Sulimowicz, Michal Orzylowski, Tomasz Silkowski, Karol Zagródka, Eike Staub, Ewa Szczurek

CoRR, February, 2026

Synergistic Benefits of Joint Molecule Generation and Property Prediction.

Adam Izdebski, Jan Olszewski, Pankhil Gawade, Krzysztof Koras, Serra Korkmaz, Valentin Rauscher, Jakub M. Tomczak, Ewa Szczurek

Trans. Mach. Learn. Res., 2026

2025

Pathryoshka: Compressing Pathology Foundation Models via Multi-Teacher Knowledge Distillation with Nested Embeddings.

Christian Grashei, Christian Brechenmacher, Rao Muhammad Umer, Jingsong Liu, Carsten Marr, Ewa Szczurek, Peter J. Schüffler

CoRR, November, 2025

Freeze, Diffuse, Decode: Geometry-Aware Adaptation of Pretrained Transformer Embeddings for Antimicrobial Peptide Design.

Pankhil Gawade, Adam Izdebski, Myriam Lizotte, Kevin R. Moon, Jake S. Rhodes, Guy Wolf, Ewa Szczurek

CoRR, November, 2025

seqme: a Python library for evaluating biological sequence design.

Rasmus Møller-Larsen, Adam Izdebski, Jan Olszewski, Pankhil Gawade, Michal Kmicikiewicz, Wojciech Zarzecki, Ewa Szczurek

CoRR, November, 2025

PepCompass: Navigating peptide embedding spaces using Riemannian Geometry.

Marcin Mozejko, Adam Bielecki, Jurand Pradzynski, Marcin Traskowski, Antoni Janowski, Hyun-Su Lee, Marcelo Der Torossian Torres, Michal Kmicikiewicz, Paulina Szymczak, Karol Jurasz, Michal Kucharczyk, Cesar de la Fuente-Nunez, Ewa Szczurek

CoRR, October, 2025

Targeted AMP generation through controlled diffusion with efficient embeddings.

Diogo Soares, Leon Hetzel, Paulina Szymczak, Fabian J. Theis, Stephan Günnemann, Ewa Szczurek

CoRR, April, 2025

Unified Molecule Generation and Property Prediction.

Adam Izdebski, Jan Olszewski, Pankhil Gawade, Krzysztof Koras, Serra Korkmaz, Valentin Rauscher, Jakub M. Tomczak, Ewa Szczurek

CoRR, April, 2025

Mamba Goes HoME: Hierarchical Soft Mixture-of-Experts for 3D Medical Image Segmentation.

Szymon Plotka, Gizem Mert, Maciej Chrabaszcz, Ewa Szczurek, Arkadiusz Sitek

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

ProSpero: Active Learning for Robust Protein Design Beyond Wild-Type Neighborhoods.

Michal Kmicikiewicz, Vincent Fortuin, Ewa Szczurek

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Factor Analysis with Correlated Topic Model for Multi-Modal Data.

Malgorzata Lazecka, Ewa Szczurek

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2023

De Novo Drug Design with Joint Transformers.

Adam Izdebski, Ewelina Weglarz-Tomczak, Ewa Szczurek, Jakub M. Tomczak

CoRR, 2023

Artificial intelligence-driven antimicrobial peptide discovery.

Paulina Szymczak, Ewa Szczurek

CoRR, 2023

2022

A generative recommender system with GMM prior for cancer drug generation and sensitivity prediction.

Krzysztof Koras, Marcin Mozejko, Paulina Szymczak, Eike Staub, Ewa Szczurek

CoRR, 2022

A generative recommender system with GMM prior for cancer drug generation and sensitivity prediction.

Krzysztof Koras, Marcin Mozejko, Paulina Szymczak, Adam Izdebski, Eike Staub, Ewa Szczurek

Proceedings of the Machine Learning in Computational Biology, 21-22 November 2022, Online, 2022

2020

A mathematical model of the metastatic bottleneck predicts patient outcome and response to cancer treatment.

Ewa Szczurek, Tyll Krüger, Barbara Klink, Niko Beerenwinkel

PLoS Comput. Biol., 2020

2019

Correction: Epistasis in genomic and survival data of cancer patients.

Dariusz Matlak, Ewa Szczurek

PLoS Comput. Biol., 2019

12 Grand Challenges in Single-Cell Data Science.

David Laehnemann, Johannes Köster, Ewa Szczurek, Davis J. McCarthy, Stephanie C. Hicks, Mark D. Robinson, Catalina A. Vallejos, Niko Beerenwinkel, Kieran R. Campbell, Ahmed Mahfouz, Luca Pinello, Pavel Skums, Alexandros Stamatakis, Camille Stephan-Otto Attolini, Samuel Aparicio, Jasmijn A. Baaijens, Marleen Balvert, Buys de Barbanson, Antonio Cappuccio, Giacomo Corleone, Bas E. Dutilh, Maria Florescu, Victor Guryev, Rens Holmer, Katharina Jahn, Thamar Jessurun Lobo, Emma M. Keizer, Indu Khatri, Szymon M. Kielbasa, Jan O. Korbel, Alexey M. Kozlov, Tzu-Hao Kuo, Boudewijn P. F. Lelieveldt, Ion I. Mandoiu, John C. Marioni, Tobias Marschall, Felix Mölder, Amir Niknejad, Lukasz Raczkowski, Marcel J. T. Reinders, Jeroen de Ridder, Antoine-Emmanuel Saliba, Antonios Somarakis, Oliver Stegle, Fabian J. Theis, Huan Yang, Alex Zelikovsky, Alice C. McHardy, Benjamin J. Raphael, Sohrab P. Shah, Alexander Schönhuth

PeerJ Prepr., 2019

Learning signaling networks from combinatorial perturbations by exploiting siRNA off-target effects.

Jerzy Tiuryn, Ewa Szczurek

Bioinform., 2019

2017

Epistasis in Genomic and Survival Data of Cancer Patients.

Dariusz Matlak, Ewa Szczurek

Proceedings of the Research in Computational Molecular Biology, 2017

2016

Linear effects models of signaling pathways from combinatorial perturbation data.

Ewa Szczurek, Niko Beerenwinkel

Bioinform., 2016

TiMEx: a waiting time model for mutually exclusive cancer alterations.

Simona Constantinescu, Ewa Szczurek, Pejman Mohammadi, Jörg Rahnenführer, Niko Beerenwinkel

Bioinform., 2016

2014

Inferring the paths of somatic evolution in cancer.

Navodit Misra, Ewa Szczurek, Martin Vingron

Bioinform., 2014

Modeling Mutual Exclusivity of Cancer Mutations.

Ewa Szczurek, Niko Beerenwinkel

Proceedings of the Research in Computational Molecular Biology, 2014

2011

Modeling signal transduction pathways and their transcriptional response.

Ewa Szczurek

PhD thesis, 2011

Deregulation upon DNA damage revealed by joint analysis of context-specific perturbation data.

Ewa Szczurek, Florian Markowetz, Irit Gat-Viks, Przemyslaw Biecek, Jerzy Tiuryn, Martin Vingron

BMC Bioinform., 2011

2010

Introducing Knowledge into Differential Expression Analysis.

Ewa Szczurek, Przemyslaw Biecek, Jerzy Tiuryn, Martin Vingron

J. Comput. Biol., 2010

2009

On Subset Seeds for Protein Alignment.

Mikhail A. Roytberg, Anna Gambin, Laurent Noé, Slawomir Lasota, Eugenia Furletova, Ewa Szczurek, Gregory Kucherov

IEEE ACM Trans. Comput. Biol. Bioinform., 2009

Classification of peptide mass fingerprint data by novel no-regret boosting method.

Anna Gambin, Ewa Szczurek, Janusz Dutkowski, Magda Bakun, Michal Dadlez

Comput. Biol. Medicine, 2009

2008

Efficient Seeding Techniques for Protein Similarity Search.

Mikhail A. Roytberg, Anna Gambin, Laurent Noé, Slawomir Lasota, Eugenia Furletova, Ewa Szczurek, Gregory Kucherov

Proceedings of the Bioinformatics Research and Development, 2008

2007

No-Regret Boosting.

Anna Gambin, Ewa Szczurek

Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007