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Achievements | GMUM

Achievements

MICCAI
GEPAR3D: Geometry Prior-Assisted Learning for 3D Tooth Segmentation
Tomasz Szczepański, Szymon Płotka, Michal K Grzeszczyk, Arleta Adamowicz, Piotr Fudalej, Przemysław Korzeniowski, Tomasz Trzciński, Arkadiusz Sitek
2025
NeurIPS
Mamba Goes HoME: Hierarchical Soft Mixture-of-Experts for 3D Medical Image Segmentation
Szymon Płotka, Gizem Mert, Maciej Chrabąszcz, Ewa Szczurek, Arkadiusz Sitek
2025
NeurIPS
URB - Urban Routing Benchmark for RL-equipped Connected Autonomous Vehicles
Ahmet Onur Akman, Anastasia Psarou, Michał Hoffmann, Łukasz Gorczyca, Lukasz Kowalski, Paweł Gora, Grzegorz Jamróz, Rafal Kucharski
2025
NeurIPS
FlySearch: Exploring how vision-language models explore
Adam Pardyl, Dominik Matuszek, Mateusz Przebieracz, Marek Cygan, Bartosz Zieliński, Maciej Wołczyk
2025
NeurIPS
ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data
Patryk Marszałek, Tomasz Kuśmierczyk, Witold Wydmański, Jacek Tabor, Marek Śmieja
2025
NeurIPS
DiCoFlex: Model-Agnostic Diverse Counterfactuals with Flexible Control
Oleksii Furman, Ulvi Movsum-zada, Patryk Marszałek, Maciej Zięba, Marek Śmieja
2025
NeurIPS
Scalable and Cost-Efficient de Novo Template-Based Molecular Generation
Piotr Gaiński, Oussama Boussif, Andrei Rekesh, Dmytro Shevchuk, Ali Parviz, Mike Tyers, Robert A. Batey, Michał Koziarski
2025
NeurIPS
CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting
Kornel Howil, Joanna Waczyńska, Piotr Borycki, Tadeusz Dziarmaga, Marcin Mazur, Przemyslaw Spurek
2025
PLOS Computational Biology
Deep learning approach for automatic assessment of schizophrenia and bipolar disorder in patients using R-R intervals
Kamil Książek, Wilhelm Masarczyk, Przemysław Głomb, Michał Romaszewski, Krisztián Buza, Przemysław Sekuła, Michał Cholewa, Katarzyna Kołodziej, Piotr Gorczyca, Magdalena Piegza
2025
EMNLP
Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRA
Patryk Marszałek, Klaudia Bałazy, Jacek Tabor, Tomasz Kuśmierczyk
2025
Nature Communications
Large protein databases reveal structural complementarity and functional locality
Paweł Szczerbiak*, Lukasz M. Szydlowski*, Witold Wydmański*, P. Douglas Renfrew, Julia Koehler Leman, Tomasz Kosciolek
2025
SoftwareX
RouteRL: Multi-agent reinforcement learning framework for urban route choice with autonomous vehicles
Anastasia Psarou, Łukasz Gorczyca, Zoltán György Varga, Grzegorz Jamroz, Rafał Kucharski
2025
CIKM
HyperNeRFGAN: Camera-Free 3D Scene Generation via Hypernetwork-Driven Neural Radiance Fields
Adam Kania, Artur Kasymov, Jakub Kościukiewicz, Artur Górak, Marcin Mazur, Maciej Zięba, Przemyslaw Spurek
2025
DSAA
As Good as It KAN Get: High-Fidelity Audio Representation
Patryk Marszałek, Maciej Rut, Piotr Kawa, Przemyslaw Spurek, Piotr Syga
2025
ECAI
PrAViC: Probabilistic Adaptation Framework for Real-Time Video Classification
Magda Trędowicz, Łukasz Struski, Marcin Mazur, Szymon Janusz, Arkadiusz Lewicki, Jacek Tabor
2025
ECAI
One Shot vs. Iterative: Rethinking Pruning Strategies for Model Compression
Mikołaj Janusz, Tomasz Wojnar, Yawei Li, Luca Benini, Kamil Adamczewski
2025
ECAI
Classifier-free Guidance with Adaptive Scaling
Dawid Malarz, Artur Kasymov, Maciej Zięba, Jacek Tabor, Przemyslaw Spurek
2025
PhD defense
Deep Learning Techniques for Accelerating Microscopy Image Analysis
Adriana Borowa
2025
MNISW
Scholarship of the Minister of Science and Higher Education for Outstanding Young Scientists
Marcin Przewięźlikowski
2025
ICCV
Beyond [cls]: Exploring the true potential of Masked Image Modeling representations
Marcin Przewięźlikowski, Randall Balestriero, Wojtek Jasiński, Marek Śmieja, Bartosz Zieliński
2025
MICCAI
PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy
Joanna Kaleta, Weronika Smolak-Dyżewska, Dawid Malarz, Diego Dall'Alba, Przemyslaw Korzeniowski, Przemyslaw Spurek
2025
Neural Networks
HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning
Kamil Książek, Przemyslaw Spurek
2025
UAI
Revisiting the Equivalence of Bayesian Neural Networks and Gaussian Processes: On the Importance of Learning Activations
Marcin Sendera, Amin Sorkhei, Tomasz Kuśmierczyk
2025
ICML
Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers
Filip Szatkowski, Yaoyue Zheng, Fei Yang, Tomasz Trzcinski, Bartłomiej Twardowski, Joost van de Weijer
2025
ICML
MiraGe: Editable 2D Images using Gaussian Splatting
Joanna Waczyńska, Tomasz Szczepanik, Piotr Borycki, Sławomir Tadeja, Thomas Bohné, Przemyslaw Spurek
2025
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Group of Machine Learning Research
Faculty of Mathematics and Computer Science
ul. Lojasiewicza 6
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