Michal Koziarski

57 papers A* 3B 3C 1Misc 2Journal 38Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Action abstractions for amortized sampling. ICLR Oussama Boussif, Léna Néhale Ezzine, Joseph D. Viviano, Michal Koziarski, Moksh Jain, Nikolay Malkin, Emmanuel Bengio, Rim Assouel, Yoshua Bengio
2025	J	`jnl`	Discontinuous Epitope Fragments as Sufficient Target Templates for Efficient Binder Design. CoRR Zhenfeng Deng, Ruijie Hou, Ningrui Xie, Mike Tyers, Michal Koziarski
2025	J	`jnl`	Diverse and feasible retrosynthesis using GFlowNets. Inf. Sci. Piotr Gainski, Michal Koziarski, Krzysztof Maziarz, Marwin H. S. Segler, Jacek Tabor, Marek Smieja
2025	J	`jnl`	Learning Decision Trees as Amortized Structure Inference. CoRR Mohammed Mahfoud, Ghait Boukachab, Michal Koziarski, Alex Hernández-García, Stefan Bauer, Yoshua Bengio, Nikolay Malkin
2025	J	`jnl`	Measuring Scientific Capabilities of Language Models with a Systems Biology Dry Lab. CoRR Haonan Duan, Stephen Zhewen Lu, Caitlin Fiona Harrigan, Nishkrit Desai, Jiarui Lu, Michal Koziarski, Leonardo Cotta, Chris J. Maddison
2025	J	`jnl`	Scalable and Cost-Efficient de Novo Template-Based Molecular Generation. CoRR Piotr Gainski, Oussama Boussif, Andrei Rekesh, Dmytro Shevchuk, Ali Parviz, Mike Tyers, Robert A. Batey, Michal Koziarski
2025	J	`jnl`	SynCoGen: Synthesizable 3D Molecule Generation via Joint Reaction and Coordinate Modeling. CoRR Andrei Rekesh, Miruna T. Cretu, Dmytro Shevchuk, Vignesh Ram Somnath, Pietro Liò, Robert A. Batey, Mike Tyers, Michal Koziarski, Cheng-Hao Liu
2024	J	`jnl`	Action abstractions for amortized sampling. CoRR Oussama Boussif, Léna Néhale Ezzine, Joseph D. Viviano, Michal Koziarski, Moksh Jain, Nikolay Malkin, Emmanuel Bengio, Rim Assouel, Yoshua Bengio
2024	J	`jnl`	Cell Morphology-Guided Small Molecule Generation with GFlowNets. CoRR Stephen Zhewen Lu, Ziqing Lu, Ehsan Hajiramezanali, Tommaso Biancalani, Yoshua Bengio, Gabriele Scalia, Michal Koziarski
2024	J	`jnl`	Local neighborhood encodings for imbalanced data classification. Mach. Learn. Michal Koziarski, Michal Wozniak
2024	A*	`conf`	RGFN: Synthesizable Molecular Generation Using GFlowNets. NeurIPS Michal Koziarski, Andrei Rekesh, Dmytro Shevchuk, Almer van der Sloot, Piotr Gainski, Yoshua Bengio, Cheng-Hao Liu, Mike Tyers, Robert A. Batey
2024	J	`jnl`	RGFN: Synthesizable Molecular Generation Using GFlowNets. CoRR Michal Koziarski, Andrei Rekesh, Dmytro Shevchuk, Almer van der Sloot, Piotr Gainski, Yoshua Bengio, Cheng-Hao Liu, Mike Tyers, Robert A. Batey
2024	J	`jnl`	RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets. CoRR Piotr Gainski, Michal Koziarski, Krzysztof Maziarz, Marwin H. S. Segler, Jacek Tabor, Marek Smieja
2024	J	`jnl`	Towards DNA-Encoded Library Generation with GFlowNets. CoRR Michal Koziarski, Mohammed Abukalam, Vedant Shah, Louis Vaillancourt, Doris Alexandra Schuetz, Moksh Jain, Almer van der Sloot, Mathieu Bourgey, Anne Marinier, Yoshua Bengio
2024	A*	`conf`	Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. ICLR Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters
2023	—	`conf`	ChiENN: Embracing Molecular Chirality with Graph Neural Networks. ECML/PKDD (3) Piotr Gainski, Michal Koziarski, Jacek Tabor, Marek Smieja
2023	J	`jnl`	ChiENN: Embracing Molecular Chirality with Graph Neural Networks. CoRR Piotr Gainski, Michal Koziarski, Jacek Tabor, Marek Smieja
2023	J	`jnl`	Crystal-GFN: sampling crystals with desirable properties and constraints. CoRR Alex Hernández-García, Alexandre Duval, Alexandra Volokhova, Yoshua Bengio, Divya Sharma, Pierre Luc Carrier, Michal Koziarski, Victor Schmidt
2023	—	`conf`	Optimized hybrid imbalanced data sampling for decision tree training. GECCO Companion Weronika Wegier, Michal Koziarski, Michal Wozniak
2023	J	`jnl`	Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. CoRR Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Ioannis Koutis, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters
2023	J	`jnl`	Towards equilibrium molecular conformation generation with GFlowNets. CoRR Alexandra Volokhova, Michal Koziarski, Alex Hernández-García, Cheng-Hao Liu, Santiago Miret, Pablo Lemos, Luca A. Thiede, Zichao Yan, Alán Aspuru-Guzik, Yoshua Bengio
2022	J	`jnl`	Multicriteria Classifier Ensemble Learning for Imbalanced Data. IEEE Access Weronika Wegier, Michal Koziarski, Michal Wozniak
2021	B	`conf`	CSMOUTE: Combined Synthetic Oversampling and Undersampling Technique for Imbalanced Data Classification. IJCNN Michal Koziarski
2021	J	`jnl`	DiagSet: a dataset for prostate cancer histopathological image classification. CoRR Michal Koziarski, Boguslaw Cyganek, Boguslaw Olborski, Zbigniew Antosz, Marcin Zydak, Bogdan Kwolek, Pawel Wasowicz, Andrzej Bukala, Jakub Swadzba, Piotr Sitkowski
2021	J	`jnl`	Imbalanced data preprocessing techniques utilizing local data characteristics. CoRR Michal Koziarski
2021	J	`jnl`	Potential Anchoring for imbalanced data classification. CoRR Michal Koziarski
2021	J	`jnl`	Potential Anchoring for imbalanced data classification. Pattern Recognit. Michal Koziarski
2021	B	`conf`	RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification. DSAA Michal Koziarski, Colin Bellinger, Michal Wozniak
2021	J	`jnl`	RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification. CoRR Michal Koziarski, Colin Bellinger, Michal Wozniak
2021	J	`jnl`	RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification. Mach. Learn. Michal Koziarski, Colin Bellinger, Michal Wozniak
2021	B	`conf`	Two-Stage Resampling for Convolutional Neural Network Training in the Imbalanced Colorectal Cancer Image Classification. IJCNN Michal Koziarski
2020	J	`jnl`	A Study on Pattern Recognition with the Histograms of Oriented Gradients in Distorted and Noisy Images. J. Univers. Comput. Sci. Andrzej Bukala, Michal Koziarski, Boguslaw Cyganek, Osman Nuri Koç, Alperen Kara
2020	J	`jnl`	CSMOUTE: Combined Synthetic Oversampling and Undersampling Technique for Imbalanced Data Classification. CoRR Michal Koziarski
2020	—	`conf`	Classification of Histopathological Images using Scale-Invariant Feature Transform. VISIGRAPP (5: VISAPP) Andrzej Bukala, Boguslaw Cyganek, Michal Koziarski, Bogdan Kwolek, Boguslaw Olborski, Zbigniew Antosz, Jakub Swadzba, Piotr Sitkowski
2020	J	`jnl`	Combined Cleaning and Resampling Algorithm for Multi-Class Imbalanced Data with Label Noise. CoRR Michal Koziarski, Michal Wozniak, Bartosz Krawczyk
2020	J	`jnl`	Combined Cleaning and Resampling algorithm for multi-class imbalanced data with label noise. Knowl. Based Syst. Michal Koziarski, Michal Wozniak, Bartosz Krawczyk
2020	J	`jnl`	Radial-Based Oversampling for Multiclass Imbalanced Data Classification. IEEE Trans. Neural Networks Learn. Syst. Bartosz Krawczyk, Michal Koziarski, Michal Wozniak
2020	J	`jnl`	Radial-Based Undersampling for imbalanced data classification. Pattern Recognit. Michal Koziarski
2020	—	`conf`	The Choice of Feature Representation in Small-Scale MobileNet-Based Imbalanced Image Recognition. VISIGRAPP (4: VISAPP) Michal Koziarski, Boguslaw Cyganek, Kazimierz Wiatr
2020	J	`jnl`	Two-Stage Resampling for Convolutional Neural Network Training in the Imbalanced Colorectal Cancer Image Classification. CoRR Michal Koziarski
2019	—	`conf`	Breast Cancer Classification on Histopathological Images Affected by Data Imbalance Using Active Learning and Deep Convolutional Neural Network. ICANN (Workshop) Bogdan Kwolek, Michal Koziarski, Andrzej Bukala, Zbigniew Antosz, Boguslaw Olborski, Pawel Wasowicz, Jakub Swadzba, Boguslaw Cyganek
2019	—	`conf`	Radial-Based Undersampling Algorithm for Classification of Breast Cancer Histopathological Images Affected by Data Imbalance. CISP-BMEI Michal Koziarski
2019	J	`jnl`	Radial-Based Undersampling for Imbalanced Data Classification. CoRR Michal Koziarski
2019	J	`jnl`	Radial-Based oversampling for noisy imbalanced data classification. Neurocomputing Michal Koziarski, Bartosz Krawczyk, Michal Wozniak
2019	—	`conf`	The Impact of Distortions on the Image Recognition with Histograms of Oriented Gradients. IP&C Andrzej Bukala, Michal Koziarski, Boguslaw Cyganek, Osman Nuri Koç, Alperen Kara
2018	J	`jnl`	A Multiresolution Grid Structure Applied to Seafloor Shape Modeling. ISPRS Int. J. Geo Inf. Wojciech Maleika, Michal Koziarski, Pawel Forczmanski
2018	—	`conf`	Convolutional Neural Network-Based Classification of Histopathological Images Affected by Data Imbalance. FFER/DLPR@ICPR Michal Koziarski, Bogdan Kwolek, Boguslaw Cyganek
2018	J	`jnl`	Impact of Low Resolution on Image Recognition with Deep Neural Networks: An Experimental Study. Int. J. Appl. Math. Comput. Sci. Michal Koziarski, Boguslaw Cyganek
2018	—	`conf`	Marine Snow Removal Using a Fully Convolutional 3D Neural Network Combined with an Adaptive Median Filter. CVAUI/IWCF/MIPPSNA@ICPR Michal Koziarski, Boguslaw Cyganek
2017	J	`jnl`	Analysis of group evolution prediction in complex networks. CoRR Stanislaw Saganowski, Piotr Bródka, Michal Koziarski, Przemyslaw Kazienko
2017	J	`jnl`	CCR: A combined cleaning and resampling algorithm for imbalanced data classification. Int. J. Appl. Math. Comput. Sci. Michal Koziarski, Michal Wozniak
2017	J	`jnl`	Image recognition with deep neural networks in presence of noise - Dealing with and taking advantage of distortions. Integr. Comput. Aided Eng. Michal Koziarski, Boguslaw Cyganek
2017	Misc	`conf`	Radial-Based Approach to Imbalanced Data Oversampling. HAIS Michal Koziarski, Bartosz Krawczyk, Michal Wozniak
2017	J	`jnl`	The deterministic subspace method for constructing classifier ensembles. Pattern Anal. Appl. Michal Koziarski, Bartosz Krawczyk, Michal Wozniak
2016	Misc	`conf`	Deep Neural Image Denoising. ICCVG Michal Koziarski, Boguslaw Cyganek
2016	—	`conf`	Examination of the Deep Neural Networks in Classification of Distorted Signals. ICAISC (2) Michal Koziarski, Boguslaw Cyganek
2016	C	`conf`	Forming Classifier Ensembles with Deterministic Feature Subspaces. FedCSIS Michal Koziarski, Bartosz Krawczyk, Michal Wozniak