Achievements

Topic	People	Info	Year	Kind
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

Achievements

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