Achievements
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 | |
ICML | How to Train Your Multi-Exit Model? Analyzing the Impact of Training Strategies | Piotr Kubaty, Bartosz Wójcik, Bartłomiej Krzepkowski, Monika Michaluk, Tomasz Trzcinski, Jary Pomponi, Aamil Adamczewski | 2025 | |
ICML | Outsourced diffusion sampling: Efficient posterior inference in latent spaces of generative models | Siddarth Venkatraman, Mohsin Hasan, Minsu Kim, Luca Scimeca, Marcin Sendera, Yoshua Bengio, Glen Berseth, Nikolay Malkin | 2025 | |
ICML | SEMU: Singular Value Decomposition for Efficient Machine Unlearning | Marcin Sendera, Łukasz Struski, Kamil Książek, Kryspin Musiol, Jacek Tabor, Dawid Rymarczyk | 2025 | |
Information Sciences | HINT: Hypernetwork Approach to Training Weight Interval Regions in Continual Learning | Patryk Krukowski, Anna Bielawska, Kamil Książek, Paweł Wawrzyński, Paweł Batorski, Przemyslaw Spurek | 2025 | |
LIDER XV | A virtual assistant for medical screening tests powered by artificial intelligence | Tomasz Danel | 2025 | |
Information Sciences | NegGS: Negative Gaussian Splatting | Artur Kasymov, Bartosz Czekaj, Marcin Mazur, Jacek Tabor, Przemyslaw Spurek | 2025 | |
ICLR | FreSh: Frequency Shifting for Accelerated Neural Representation Learning | Adam Kania, Marko Mihajlovic, Sergey Prokudin, Jacek Tabor, Przemyslaw Spurek | 2025 | |
ICLR | LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision | Mateusz Pach, Koryna Lewandowska, Jacek Tabor, Bartosz Michał Zieliński, Dawid Damian Rymarczyk | 2025 | |
SDM | VisTabNet: Adapting Vision Transformers for Tabular Data | Witold Wydmański, Ulvi Movsum-zada, Jacek Tabor, Marek Śmieja | 2025 | |
SDM | Parameter-Efficient Interventions for Enhanced Model Merging | Marcin Osial, Daniel Marczak, Bartosz Zieliński | 2025 | |
CVPR | Workshop on Computer Vision for Drug Discovery: Where Are We and What is Beyond? | Dawid Rymarczyk, Ada Borowa, Ilknur Icke, Chao-Hui Huang, Ana Sanchez-Fernandez, Anne Carpenter | 2025 | |
AAAI | Adaptive Computation Modules: Granular Conditional Computation For Efficient Inference | Bartosz Wójcik, Alessio Devoto, Karol Pustelnik, Pasquale Minervini, Simone Scardapane | 2025 |