Achievements
NeurIPS | B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical Data | Magdalena Proszewska, Tomasz Danel, Antoni Antoszek, Dawid Rymarczyk | 2026 | |
Nature | Chemist-aligned retrosynthesis by ensembling diverse inductive bias models | Krzysztof Maziarz, Guoqing Liu, Felix Pultar, John Gardner, Tobias Gensch, Jean Helie, Hubert Misztela, Austin Tripp, Junren Li, Aleksei Kornev, Piotr Gaiński, Holger Hoefling, Mike Fortunato, Rishi Gupta, Andrew Baxter, Darren L. Poole, Jennifer M. Elward, Adrian Krzyzanowski, Peter Pogány, Stephen D. Pickett, Ian D. Wall, Christopher M. Bishop, Philip G. Humphreys, James A. Lumley, Mario P. Wiesenfeldt, Marwin H. S. Segler | 2026 | |
NeurIPS | Hit Expansion via Localized Exploration of Synthesizable Chemical Space | Walter Virany, Yidong Jin, Andrew Lian, Dmytro Shevchuk, Amir Mehdi Soufi Enayati, Mike Tyers, Robert A. Batey, Piotr Gaiński, Michał Koziarski | 2026 | |
NeurIPS | ProDG: Prototypes for Data-Free Generative Post-Hoc Explainability | Piotr Borycki, Magdalena Trędowicz, Jacek Tabor, Łukasz Struski, Przemysław Spurek | 2026 | |
NeurIPS | LAPLEX: The FFT of Learnable Laplace Kernels | Łukasz Struski, Hanna Blazhko, Piotr Kubaty, Jacek Tabor | 2026 | |
NeurIPS | InTAct: Interval-based Task Activation Consolidation for Continual Learning | Patryk Krukowski, Jan Miksa, Piotr Helm, Jacek Tabor, Paweł Wawrzyński, Przemysław Spurek | 2026 | |
NeurIPS | CounterFlowNet: From Minimal Changes to Meaningful Counterfactual Explanations | Oleksii Furman, Patryk Marszałek, Jan Masłowski, Marek Śmieja, Maciej Zięba, Piotr Gaiński | 2026 | |
NeurIPS | Monitoring the Internal Monologue: Probe Trajectories Reveal Reasoning Dynamics | Maciej Chrabąszcz, Aleksander Szymczyk, Marcin Sendera, Tomasz Trzciński, Sebastian Cygert | 2026 | |
NeurIPS | Anatomy-Activated Mixture-of-Experts for 3D Medical Vision-Language Pre-training | Szymon Płotka, Gizem Mert, Pedro R.A.S. Bassi, Wenxuan Li, Zongwei Zhou, Anna M. Marcinkiewicz, Wiktoria Romańczyk, Jarosław B. Ćwikła, Łukasz Struski, Ewa Szczurek, Jacek Tabor, Arkadiusz Sitek | 2026 | |
Scientific Reports | Reducing cost of fluorescent microscopy through dye exclusion, distillation techniques, and deep learning | Adriana Borowa, Bartosz Zieliński, Dawid Rymarczyk | 2026 | |
IJCV | SpaRRTa: A Synthetic Benchmark for Evaluating Spatial Intelligence in Visual Foundation Models | Turhan Can Kargin, Wojciech Jasiński, Adam Pardyl, Bartosz Zieliński, Marcin Przewięźlikowski | 2026 | |
WACV | AEGIS: Preserving Privacy of 3D Facial Avatars with Adversarial Perturbations | Dawid Wolkiewicz, Anastasiya Pechko, Przemysław Spurek, Piotr Syga | 2026 | |
BMVC | ProtoQuant: Quantization of Prototypical Parts For General and Fine-Grained Image Classification | Mikołaj Janusz, Adam Wróbel, Bartosz Zieliński, Dawid Rymarczyk | 2026 | |
Pattern Recognition | GaMeS: Mesh-Based Adapting and Modification of Gaussian Splatting | Joanna Szelewska, Piotr Borycki, Sławomir Tadeja, Jacek Tabor, Przemysław Spurek | 2026 | |
SDM | SeBA: Semi-supervised few-shot learning via Separated-at-Birth Alignment for tabular data | Kacper Jurek, Wojciech Batko, Marek Śmieja, Marcin Przewięźlikowski | 2026 | |
ACM Multimedia | AnyStyle: Single-Pass Multimodal Stylization for 3D Gaussian Splatting | Joanna Kaleta, Bartosz Świrta, Kacper Kania, Tomasz Trzciński, Przemysław Spurek, Marek Kowalski | 2026 | |
PSSI | PSSI Award for Best Polish Doctoral Thesis in Artificial Intelligence: Adapting Deep Learning Architectures for Drug Discovery | Łukasz Maziarka | 2025 | |
ECCV | GaINeR: Geometry-Aware Implicit Neural Representation for Image Editing | Weronika Jakubowska, Mikołaj Zieliński, Rafał Tobiasz, Krzysztof Byrski, Dominik Belter, Maciej Zięba, Przemysław Spurek | 2026 | |
ECCV | IRIS: Intersection-aware Ray-based Implicit Editable Scenes | Grzegorz Wilczyński, Mikołaj Zieliński, Krzysztof Byrski, Joanna Waczyńska, Dominik Belter, Przemysław Spurek | 2026 | |
MICCAI | CancerVerse: A Fully Open Longitudinal and Multimodal Dataset for Multicancer Screening | Wenxuan Li, Pedro R. A. S. Bassi, Xinze Zhou, Qi Chen, Jakob Wasserthal, Ibrahim Hamamci, Sezgin ER, Bjoern Menze, Gulhan Ertan Akan, Szymon Płotka, Jakub Prządo, Yucheng Tang, Daguang Xu, Arkadiusz Sitek, Kang Wang, Yang Yang, Alan L. Yuille, Zongwei Zhou | 2026 | |
MICCAI | Merlin Plus: A Large-Scale, Multi-Cancer, Image-Mask-Report Dataset | Pedro R. A. S. Bassi, Wenxuan Li, Szymon Płotka, Ruby Honjol, Jakub Prządo, Xinze Zhou, Kang Wang, Yang Yang, Malte Jensen, Akshay Chaudhari, Curt Langlotz, Alan L. Yuille, Zongwei Zhou | 2026 | |
INTARG | MicroBloodID - innovative AI technology for rapid identification of bacteria and fungi in sepsis (Platinum Medal, INTARG 2026) | Michał Wronka, Adam Pardyl, Bartosz Zieliński, Adriana Borowa, Dawid Rymarczyk, Monika Brzychczy-Włoch, Agnieszka Sroka-Oleksiak, Katarzyna Biegun-Drożdż, Dorota Ochońska, Aldona Olechowska-Jarząb | 2026 | |
UAI | UnGuide: Learning to Forget with LoRA-Guided Diffusion Models | Agnieszka Polowczyk, Alicja Polowczyk, Dawid Malarz, Artur Kasymov, Marcin Mazur, Jacek Tabor, Przemysław Spurek | 2026 | |
ECML PKDD | Efficient Uncertainty in LLMs through Evidential Knowledge Distillation | Lakshmana Sri Harsha Nemani, P.K. Srijith, Tomasz Kuśmierczyk | 2026 | |
PhD defense | Probabilistic deep learning: from efficient sampling to principled generation | Marcin Sendera | 2026 |