Igor T. Podolak

42 papers A* 2A 1B 3Misc 1Journal 24Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection. ICML Lukasz Struski, Michal B. Bednarczyk, Igor T. Podolak, Jacek Tabor
2025	J	`jnl`	LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection. CoRR Lukasz Struski, Michal B. Bednarczyk, Igor T. Podolak, Jacek Tabor
2024	J	`jnl`	Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks. Frontiers Neuroinformatics Magdalena Fafrowicz, Marcin Tutajewski, Igor Sieradzki, Jeremi K. Ochab, Anna Ceglarek-Sroka, Koryna Lewandowska, Tadeusz Marek, Barbara Sikora-Wachowicz, Igor T. Podolak, Pawel Oswiecimka
2024	J	`jnl`	Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models. IEEE Trans. Neural Networks Learn. Syst. Lukasz Struski, Michal Sadowski, Tomasz Danel, Jacek Tabor, Igor T. Podolak
2024	J	`jnl`	Relative molecule self-attention transformer. J. Cheminformatics Lukasz Maziarka, Dawid Majchrowski, Tomasz Danel, Piotr Gainski, Jacek Tabor, Igor T. Podolak, Pawel M. Morkisz, Stanislaw Jastrzebski
2023	J	`jnl`	Docking-based generative approaches in the search for new drug candidates. CoRR Tomasz Danel, Jan Leski, Sabina Podlewska, Igor T. Podolak
2023	J	`jnl`	Zero time waste in pre-trained early exit neural networks. Neural Networks Bartosz Wójcik, Marcin Przewiezlikowski, Filip Szatkowski, Maciej Wolczyk, Klaudia Balazy, Bartlomiej Krzepkowski, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski
2022	B	`conf`	Batch Size Reconstruction-Distribution Trade-Off In Kernel Based Generative Autoencoders. ICIP Szymon Knop, Przemyslaw Spurek, Marcin Mazur, Jacek Tabor, Igor T. Podolak
2022	J	`jnl`	Generative models with kernel distance in data space. Neurocomputing Szymon Knop, Marcin Mazur, Przemyslaw Spurek, Jacek Tabor, Igor T. Podolak
2021	J	`jnl`	2D SIFt: a matrix of ligand-receptor interactions. J. Cheminformatics Stefan Mordalski, Agnieszka Wojtuch, Igor T. Podolak, Rafal Kurczab, Andrzej J. Bojarski
2021	J	`jnl`	Relative Molecule Self-Attention Transformer. CoRR Lukasz Maziarka, Dawid Majchrowski, Tomasz Danel, Piotr Gainski, Jacek Tabor, Igor T. Podolak, Pawel M. Morkisz, Stanislaw Jastrzebski
2021	A*	`conf`	Zero Time Waste: Recycling Predictions in Early Exit Neural Networks. NeurIPS Maciej Wolczyk, Bartosz Wójcik, Klaudia Balazy, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski
2021	J	`jnl`	Zero Time Waste: Recycling Predictions in Early Exit Neural Networks. CoRR Maciej Wolczyk, Bartosz Wójcik, Klaudia Balazy, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski
2020	J	`jnl`	Cramer-Wold Auto-Encoder. J. Mach. Learn. Res. Szymon Knop, Przemyslaw Spurek, Jacek Tabor, Igor T. Podolak, Marcin Mazur, Stanislaw Jastrzebski
2020	J	`jnl`	Generative models with kernel distance in data space. CoRR Szymon Knop, Marcin Mazur, Przemyslaw Spurek, Jacek Tabor, Igor T. Podolak
2019	—	`conf`	Distribution-Interpolation Trade off in Generative Models. ICLR (Poster) Damian Lesniak, Igor Sieradzki, Igor T. Podolak
2019	J	`jnl`	Interpolation in generative models. CoRR Lukasz Struski, Jacek Tabor, Igor T. Podolak, Aleksandra Nowak
2019	J	`jnl`	One-element Batch Training by Moving Window. CoRR Przemyslaw Spurek, Szymon Knop, Jacek Tabor, Igor T. Podolak, Bartosz Wójcik
2019	J	`jnl`	Sliced generative models. CoRR Szymon Knop, Marcin Mazur, Jacek Tabor, Igor T. Podolak, Przemyslaw Spurek
2019	—	`conf`	Variational auto-encoders for generating feature-preserving automata. NCMA Igor T. Podolak, Adam Roman, Arkadiusz Czekajski, Damian Lesniak, Bartosz Zielinski
2018	J	`jnl`	A machine learning approach to synchronization of automata. Expert Syst. Appl. Igor T. Podolak, Adam Roman, Marek Szykula, Bartosz Zielinski
2018	J	`jnl`	Cramer-Wold AutoEncoder. CoRR Jacek Tabor, Szymon Knop, Przemyslaw Spurek, Igor T. Podolak, Marcin Mazur, Stanislaw Jastrzebski
2018	J	`jnl`	On Latent Distributions Without Finite Mean in Generative Models. CoRR Damian Lesniak, Igor Sieradzki, Igor T. Podolak
2014	A	`conf`	Adaptive Active Learning as a Multi-armed Bandit Problem. ECAI Wojciech M. Czarnecki, Igor T. Podolak
2013	—	`conf`	Density Invariant Detection of Osteoporosis Using Growing Neural Gas. CORES Igor T. Podolak, Stanislaw K. Jastrzebski
2013	—	`conf`	Machine Learning with Known Input Data Uncertainty Measure. CISIM Wojciech M. Czarnecki, Igor T. Podolak
2013	J	`jnl`	Theoretical Foundations and Experimental Results for a Hierarchical Classifier with Overlapping Clusters. Comput. Intell. Igor T. Podolak, Adam Roman
2012	—	`conf`	Application of Hierarchical Classifier to Minimal Synchronizing Word Problem. ICAISC (1) Igor T. Podolak, Adam Roman, Dariusz Jedrzejczyk
2011	J	`jnl`	CORES: fusion of supervised and unsupervised training methods for a multi-class classification problem. Pattern Anal. Appl. Igor T. Podolak, Adam Roman
2011	—	`conf`	Classifier Ensembles for Virtual Concept Drift - The DEnBoost Algorithm. HAIS (2) Kamil Bartocha, Igor T. Podolak
2011	J	`jnl`	Hierarchical Estimator. Expert Syst. Appl. Stanislaw Brodowski, Igor T. Podolak
2011	—	`conf`	Risk Estimation for Hierarchical Classifier. HAIS (1) Igor T. Podolak, Adam Roman
2011	J	`jnl`	Risk function estimation for subproblems in a hierarchical classifier. Pattern Recognit. Lett. Igor T. Podolak, Adam Roman
2009	—	`conf`	A Hierarchical Classifier with Growing Neural Gas Clustering. ICANNGA Igor T. Podolak, Kamil Bartocha
2009	—	`ch.`	A New Notion of Weakness in Classification Theory. Computer Recognition Systems 3 Igor T. Podolak, Adam Roman
2008	B	`conf`	Algorithm for Intelligent Prediction of Requests in Business Systems. SOFSEM Piotr Kalita, Igor T. Podolak, Adam Roman, Bartosz Bierkowski
2008	J	`jnl`	Hierarchical classifier with overlapping class groups. Expert Syst. Appl. Igor T. Podolak
2007	—	`conf`	Hierarchical Rules for a Hierarchical Classifier. ICANNGA (1) Igor T. Podolak
2005	Misc	`conf`	Hierarchical Classifier. PPAM Igor T. Podolak, Slawomir Biel, Marcin Bobrowski
2002	—	`conf`	Facial Component Extraction and Face Recognition with Support Vector Machines. FGR Dihua Xi, Igor T. Podolak, Seong-Whan Lee
2000	B	`conf`	A Hybrid Neural System for Phonematic Transformation. ICPR Igor T. Podolak, Seong-Whan Lee, Andrzej Bielecki, Elzbieta Majkut
1998	J	`jnl`	Functional graph model of a neural network. IEEE Trans. Syst. Man Cybern. Part B Igor T. Podolak