Interpretowalne metody zrównoważonej sztucznej inteligencji tłumaczące decyzje w sposób intuicyjny |
Bartosz Zieliński
|
OPUS 24 |
2023 |
grant |
Active Visual Exploration Based on Attention-Map Entropy |
Adam Pardyl
,
Grzegorz Rypeść
,
Grzegorz Kurzejamski
,
Bartosz Zieliński
,
Tomasz Trzciński
|
IJCAI 2023 |
2023 |
paper |
Sieci prototypowe jako krok do interpretowalnej analizy funkcji białek |
Witold Wydmański
|
Perły Nauki 2023 |
2023 |
grant |
Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models |
Mohammadreza Banaei
,
Klaudia Bałazy
,
Artur Kasymov
,
Remi Lebret
,
Jacek Tabor
,
Karl Aberer
|
EACL 2023 |
2023 |
paper |
Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks |
Piotr Gaiński
,
Klaudia Bałazy
|
EACL 2023 |
2023 |
paper |
ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction |
Dawid Rymarczyk
,
Daniel Dobrowolski
,
Tomasz Danel
|
SDM 2023 |
2023 |
paper |
Conditional deep generative models |
Marek Śmieja
|
OPUS 23 |
2022 |
grant |
Balancing priors in Bayesian Neural Networks |
Tomasz Kuśmierczyk
|
POLONEZ BIS 2 |
2022 |
grant |
Improving interpretability in deep neural networks |
Dawid Rymarczyk
|
PRELUDIUM 21 |
2022 |
grant |
Better adaptation in Meta-Learning |
Marcin Sendera
|
PRELUDIUM 21 |
2022 |
grant |
COeXISTENCE between humans and machines in urban mobility |
Rafał Kucharski
|
ERC Starting Grant |
2022 |
grant |
Sparsifying Transformer Models with Trainable Representation Pooling |
Michał Pietruszka
,
Łukasz Borchmann
,
Łukasz Garncarek
|
ACL 2022 (Spotlight) |
2022 |
paper |
SONGs: Self-Organizing Neural Graphs |
Łukasz Struski
,
Tomasz Danel
,
Marek Śmieja
,
Jacek Tabor
,
Bartosz Zieliński
|
WACV 2023 |
2023 |
paper |
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts |
Mikołaj Sacha
,
Dawid Rymarczyk
,
Łukasz Struski
,
Jacek Tabor
,
Bartosz Zieliński
|
WACV 2023 |
2023 |
paper |
HyperShot: Few-Shot Learning by Kernel HyperNetworks |
Marcin Sendera
,
Marcin Przewięźlikowski
,
Konrad Karanowski
,
Maciej Zięba
,
Jacek Tabor
,
Przemysław Spurek
|
WACV 2023 |
2023 |
paper |
Discovering wiring patterns influencing neural network performance |
Aleksandra Nowak
,
Romuald Janik
|
ECML PKDD 2022 |
2022 |
paper |
On the relationship between disentanglement and multi-task learning |
Łukasz Maziarka
,
Aleksandra Nowak
,
Maciej Wołczyk
,
Andrzej Bedychaj
|
ECML PKDD 2022 |
2022 |
paper |
Multimodal and reinforcement learning platform for personalizing cancer management |
Krzysztof Geras
|
ARTIQ - AI Centers of Excellence |
2022 |
grant |
Disentangling Transfer in Continual Reinforcement Learning |
Maciej Wołczyk
,
Michał Zając
,
Razvan Pascanu
,
Łukasz Kuciński
,
Piotr Miłoś
|
NeurIPS 2022 |
2022 |
paper |
FlowHMM: Flow-based continuous hidden Markov models |
Paweł Lorek
,
Rafał Nowak
,
Tomasz Trzciński
,
Maciej Zięba
|
NeurIPS 2022 |
2022 |
paper |
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models |
Kamil Deja
,
Anna Kuzina
,
Tomasz Trzciński
,
Jakub M. Tomczak
|
NeurIPS 2022 |
2022 |
paper |
Interpretable Image Classification with Differentiable Prototypes Assignment |
Dawid Rymarczyk
,
Łukasz Struski
,
Michał Górszczak
,
Koryna Lewandowska
,
Jacek Tabor
,
Bartosz Zieliński
|
ECCV |
2022 |
paper |
ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image Classification |
Dawid Rymarczyk
,
Adam Pardyl
,
Jarosław Kraus
,
Aneta Kaczyńska
,
Marek Skomorowski
,
Bartosz Zieliński
|
ECML PKDD |
2022 |
paper |
LIDL: Local Intrinsic Dimension estimation using approximate Likelihood |
Piotr Tempczyk
,
Rafał Michaluk
,
Łukasz Garncarek
,
Przemysław Spurek
,
Jacek Tabor
,
Adam Golinski
|
ICML 2022 (long presentation) |
2022 |
paper |
Continual Learning with Guarantees via Weight Interval Constraints |
Maciej Wołczyk
,
Karol Piczak
,
Bartosz Wójcik
,
Łukasz Pustelnik
,
Paweł Morawiecki
,
Jacek Tabor
,
Tomasz Trzciński
,
Przemysław Spurek
|
ICML |
2022 |
paper |
Hypernetworks methods in Meta-Learning |
Przemysław Spurek
|
Opus 22 |
2022 |
grant |
BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video |
Szymon Płotka
,
Michał K. Grzeszczyk
,
Robert Brawura-Biskupski-Samaha
,
Paweł Gutaj
,
Michał Lipa
,
Tomasz Trzciński
,
Arkadiusz Sitek
|
MICCAI |
2022 |
paper |
CoNeRF: Controllable Neural Radiance Fields. Computer Vision and Pattern Recognition |
Kacper Kania
,
Kwang Moo Yi
,
Marek Kowalski
,
Tomasz Trzciński
,
Andrea Tagliasacchi
|
CVPR |
2022 |
paper |
Multiband VAE: Latent Space Partitioning for Knowledge Consolidation in Continual Learning |
Kamil Deja
,
Paweł Wawrzyński
,
Daniel Marczak
,
Wojciech Masarczyk
,
Tomasz Trzciński
|
IJCAI |
2022 |
paper |
PluGeN: Multi-Label Conditional Generation From Pre-Trained Models |
Maciej Wołczyk
,
Magdalena Proszewska
,
Łukasz Maziarka
,
Maciej Zięba
,
Patryk Wielopolski
,
Rafał Kurczab
,
Marek Śmieja
|
AAAI |
2022 |
paper |
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks |
Maciej Wołczyk
,
Bartosz Wójcik
,
Klaudia Bałazy
,
Igor Podolak
,
Jacek Tabor
,
Marek Śmieja
,
Tomasz Trzciński
|
NeurIPS 2021 |
2021 |
paper |
Continual World: A Robotic Benchmark For Continual Reinforcement Learning |
Maciej Wołczyk
,
Michał Zając
,
Razvan Pascanu
,
Łukasz Kuciński
,
Piotr Miłoś
|
NeurIPS 2021 |
2021 |
paper |
Non-Gaussian Gaussian Processes for Few-Shot Regression |
Marcin Sendera
,
Jacek Tabor
,
Aleksandra Nowak
,
Andrzej Bedychaj
,
Massimiliano Patacchiola
,
Tomasz Trzciński
,
Przemysław Spurek
,
Maciej Zięba
|
NeurIPS 2021 |
2021 |
paper |
DUE: End-to-End Document Understanding Benchmark |
Łukasz Borchmann
,
Michał Pietruszka
,
Tomasz Stanisławek
,
Dawid Jurkiewicz
,
Michał Turski
,
Karolina Szyndler
,
Filip Graliński
|
NeurIPS 2021 |
2021 |
paper |
MEiN scholarship for outstanding young scientists 2021 |
Tomasz Trzciński
|
|
2021 |
scholarship |
MEiN scholarship for outstanding young scientists 2021 |
Marek Śmieja
|
|
2021 |
scholarship |
START 2021 |
Stanisław Jastrzębski
|
|
2021 |
scholarship |
ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification |
Dawid Rymarczyk
,
Łukasz Struski
,
Jacek Tabor
,
Bartosz Zieliński
|
SIGKDD |
2021 |
paper |
Robust Learning-Augmented Caching: An Experimental Study |
Jakub Chłędowski
,
Adam Polak
,
Bartosz Szabucki
,
Konrad Żołna
|
ICML |
2021 |
paper |
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization |
Stanisław Jastrzębski
,
Devansh Arpit
,
Oliver Astrand
,
Giancarlo Kerg
,
Huan Wang
,
Caiming Xiong
,
Richard Socher
,
Kyunghyun Cho*
,
Krzysztof Geras*
|
ICML |
2021 |
paper |
Explaining Self-Supervised Image Representations with Visual Probing |
Dominika Basaj
,
Witold Oleszkiewicz
,
Igor Sieradzki
,
Michał Górszczak
,
Barbara Rychalska
,
Tomasz Trzciński
,
Bartosz Zieliński
|
IJCAI |
2021 |
paper |
Kernel Self-Attention for Weakly-supervised Image Classification using Deep Multiple Instance Learning |
Dawid Rymarczyk
,
Adriana Borowa
,
Jacek Tabor
,
Bartosz Zieliński
|
WACV |
2021 |
paper |
Combination of Molecular Simulation and Deep Learning for De Novo Drug Design |
Tomasz Danel
|
Preludium 19 |
2020 |
grant |
Cramer-Wold AutoEncoder |
Szymon Knop
,
Jacek Tabor
,
Przemysław Spurek
,
Igor Podolak
,
Marcin Mazur
,
Stanisław Jastrzębski
|
JMLR |
2020 |
paper |
Finding the Optimal Network Depth in Classification Tasks |
Bartosz Wójcik
,
Maciej Wołczyk
,
Klaudia Bałazy
,
Jacek Tabor
|
ECML PKDD |
2020 |
paper |
Hypernetwork approach to generating point clouds |
Przemysław Spurek
,
Sebastian Winczowski
,
Jacek Tabor
,
Maciej Zamorski
,
Maciej Zięba
,
Tomasz Trzciński
|
ICML |
2020 |
paper |
Transformer-based methods for novel active chemical compounds |
Łukasz Maziarka
|
Preludium |
2020 |
grant |
Evolutionary-Neural Hybrid Agents for Architecture Search |
Krzysztof Maziarz
,
Mingxing Tan
,
Andrey Khorlin
,
Marin Georgiev
,
Andrea Gesmundo
|
ICML Workshop on AutoML 2019; 1st place in Data Science Masters - best Master's thesis competition, Applied track |
2019 |
paper |
Bio-inspired artificial neural networks |
Jacek Tabor
|
FNP TEAM-NET |
2019-2023 |
grant |
The Break-Even Point on the Optimization Trajectories of Deep Neural Networks |
Stanisław Jastrzębski
,
Maciej Szymczak
,
Stanislav Fort
,
Devansh Arpit
,
Jacek Tabor
,
Kyunghyun Cho*
,
Krzysztof Geras*
|
ICLR 2020 (Spotlight) |
2020 |
paper |
Persistence bag of words for topological data analysis |
Bartosz Zieliński
,
Michał Lipiński
,
Mateusz Juda
,
Matthias Zeppelzauer
,
Paweł Dłotko
|
IJCAI |
2019 |
paper |
Parameter-Efficient Transfer Learning for NLP |
Neil Houlsby
,
Andrei Giurgiu
,
Stanisław Jastrzębski
,
Bruna Morrone
,
Quentin de Laroussilhe
,
Andrea Gesmundo
,
Mona Attariyan
,
Sylvain Gelly
|
ICML |
2019 |
paper |
On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length |
Stanisław Jastrzębski
,
Zachary Kenton
,
Nicolas Ballas
,
Asja Fischer
,
Yoshua Bengio
,
Amos Storkey
|
ICLR |
2019 |
paper |
Distribution-Interpolation Trade off in Generative Models |
Damian Leśniak
,
Igor Sieradzki
,
Igor Podolak
|
ICLR |
2019 |
paper |
Processing of missing data by neural networks |
Marek Śmieja
,
Łukasz Struski
,
Jacek Tabor
,
Bartosz Zieliński
,
Przemysław Spurek
|
NeurIPS 2018 |
2018 |
paper |
Efficient unsupervised learning with applications in deep learning |
prof. Jacek Tabor
,
dr Marek Śmieja
,
dr Przemysław Spurek
,
dr Łukasz Struski
|
NCN OPUS 13 |
2018-2021 |
grant |
Deep Learning in representation of long sequential data |
mgr Konrad Żołna
|
NCN ETIUDA 6 |
2018-2019 |
prize |
Additional information in data clustering and related areas |
dr Marek Śmieja
,
dr Przemysław Spurek
,
dr Łukasz Struski
|
2017-2020 NCN SONATA 11 |
2017-2020 |
grant |
New representation learning methods in Deep Learning |
mgr Stanisław Jastrzębski
|
NCN ETIUDA 5 |
2017-2019 |
prize |
Theory of missing data |
prof. Jacek Tabor
,
dr Łukasz Struski
,
dr Marek Śmieja
,
dr Bartosz Zieliński
|
NCN OPUS 10 |
2016-2019 |
grant |
Clustering algorithm, which uses generalized Gaussian distribution and non-normal distributions |
dr Przemysław Spurek
|
NCN SONATA 10 |
2016-2019 |
grant |
Detectors and descriptors of the key points based on the topological information |
dr Bartosz Zieliński
,
dr Mateusz Juda
|
NCN SONATA 10 |
2016-2019 |
grant |
Algorithmical aspects of synchronization |
dr Adam Roman
|
NCN OPUS 9 |
2016-2019 |
grant |
Best paper award at CORES'15 |
mgr Wojciech Czarnecki
,
dr hab. Jacek Tabor
|
|
2015 |
prize |
Application of neural networks in politology |
dr hab. Igor Podolak (grant coordinated by dr hab. Łukasz Wordliczek)
|
NCN OPUS 8 |
2015-2018 |
grant |
Knowledge enriched sparse word embedding |
lic. Stanisław Jastrzębski (under supervision of dr hab. Jacek Tabor)
|
MNiSW Diamentowy Grant 4 |
2015-2018 |
grant |
Minimal Memory Clustering Paradigm |
dr hab. Jacek Tabor
,
dr hab. Igor Podolak
,
prof. dr hab. Andrzej Bojarski
,
mgr Przemysław Spurek
,
mgr Marek Śmieja
,
mgr Wojciech Czarnecki
,
mgr Sabina Smusz
|
NCN OPUS 7 |
2015-2017 |
grant |
Development of machine learning methods with applications to chemical compound activity prediction |
mgr Marek Śmieja
|
NCN PRELUDIUM 7 |
2015-2017 |
grant |
Rector prize for scientific achievements |
prof. Jacek Tabor
,
dr Wojciech Czarnecki
,
dr Przemysław Spurek
|
UJ |
2015 |
prize |
Scholarship of Polish Minister Of Science |
lic. Stanisław Jastrzębski
|
MNiSW |
2015 |
prize |
A novel approach to de novo genome assembly problem based on UCT |
mgr Ewa Matczyńska
|
NCN PRELUDIUM 6 |
2014-2017 |
grant |
The memory center |
mgr Przemysław Spurek
|
NCN PRELUDIUM 5 |
2014-2017 |
grant |
Novel active learning querying strategy for the machine learning models |
mgr Wojciech M. Czarnecki
|
NCN PRELUDIUM 5 |
2014-2017 |
grant |
4th place in TRADESHIFT competition |
lic. Stanisław Jastrzębski
,
Rafał Józefowicz (Google)
,
mgr Wojciech Czarnecki
|
|
2014 |
prize |
5th place in CONNECTOMICS competition |
mgr Wojciech Czarnecki
,
Rafał Józefowicz (Google)
|
|
2014 |
prize |
Entropy of the mixture of sources |
dr hab Jacek Tabor
,
mgr Marek Śmieja
|
|
2013-2015, NCN OPUS 1 |
grant |
Second prize at the SMP competition |
Stanisław Jastrzębski (under supervision of dr hab. Igor Podolak)
|
|
2013 |
prize |
Best presentation at CISIM'13 |
mgr Przemysław Spurek
|
|
2013 |
prize |