Accepted talks

A Bayesian Nonparametrics View into Deep Representations
Michał Jamroż (AGH University of Science and Technology), Marcin Kurdziel (AGH University of Science and Technology)

Application of Machine Learning for multi-phase flow pattern recognition
Rafał A. Bachorz (PSI Polska Sp. z o.o.), Adam Karaszewski (PSI Polska Sp. z o.o.), Grzegorz Miebs (PSI Polska Sp. z o.o.)

Beautiful Mind and RTB Auctions
Piotr Sankowski (MIM Solutions, IDEAS NCBR & University of Warsaw), Piotr Wygocki (MIM Solutions), Adam Witkowski (MIM Solutions), Michał Brzozowski (MIM Solutions)

Cell-counting in human embryo time-lapse monitoring
Piotr Wygocki (MIM Solutions & University of Warsaw), Michał Siennicki (MIM Solutions), Tomasz Gilewicz (MIM Solutions), Paweł Brysch (MIM Solutions)

Color recognition should be simple - but isn’t - case study of player clustering in football.
Marcin Tuszyński (Respo.Vision), Łukasz Grad (MIMUW & Respo.Vision), Wojtek Rosiński (Respo.Vision)

Crisis Situation Assessment Using Different NLP Methods
Agnieszka Pluwak (SentiOne), Emilia Kacprzak (SentiOne), Michał Lew (SentiOne), Michał Stańczyk (SentiOne), Aleksander Obuchowski (Talkie.ai)

Deep learning for decoding 3D hand translation based on ECoG signal
Maciej Śliwowski (Univ. Grenoble Alpes, CEA, LETI, Clinatec, F-38000 Grenoble, France), Matthieu Martin (Univ. Grenoble Alpes, CEA, LETI, Clinatec, F-38000 Grenoble, France), Antoine Souloumiac (Université Paris-Saclay, CEA, List, F-91120, Palaiseau, France), Pierre Blanchart (Université Paris-Saclay, CEA, List, F-91120, Palaiseau, France), Tetiana Aksenova (Univ. Grenoble Alpes, CEA, LETI, Clinatec, F-38000 Grenoble, France)

Detection of faulty specimen made of Carbon fiber composites with deep learning and non-destructive testing techniques
Marek Sawicki (Wroclaw University of Science and Technology), Damian Pietrusiak (Wroclaw University of Science and Technology), Mariusz Ptak (Wroclaw University of Science and Technology)

Foundations of Interpretable and Reliable Reinforcement Learning
Jacek Cyranka (University of Warsaw, Institute of Informatics)

Generative models in continual learning
Kamil Deja (Warsaw University of Technology), Wojciech Masarczyk (Warsaw University of Technology), Paweł Wawrzyński (Warsaw University of Technology), Tomasz Trzciński (Warsaw University of Technology)

IDEAS NCBR - about the new research center
Piotr Sankowski (IDEAS NCBR)

Law, Graphs and AI
Adam Zadrożny (National Centre for Nuclear Research)

Let's open the black box! Hessian-based toolbox for interpretable and reliable machines learning physics
Anna Dawid (University of Warsaw & ICFO), Patrick Huembeli (EPFL — École polytechnique fédérale de Lausanne), Michał Tomza (Faculty of Physics, University of Warsaw), Maciej Lewenstein (ICFO - The Institute of Photonic Sciences, Barcelona), Alexandre Dauphin (ICFO - The Institute of Photonic Sciences, Barcelona)

LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood
Piotr Tempczyk (University of Warsaw), Rafał Michaluk (University of Warsaw), Adam Goliński (University of Oxford), Przemysław Spurek (Jagiellonian University), Jacek Tabor (Jagiellonian University)

LOGAN: Low-latency, On-device, GAN Vocoder
Dariusz Piotrowski (Amazon), Mikołaj Olszewski (Amazon), Arnaud Joly (Amazon)

Manipulating explainability and fairness in machine learning
Hubert Baniecki (MI2DataLab, Warsaw University of Technology)

Multiscale Reweighted Stochastic Embedding (MRSE): Deep Learning of Generalized Variables for Statistical Physics
Jakub Rydzewski (Nicolaus Copernicus University)

Neural network-based left ventricle geometry prediction from CMR images with application in biomechanics
Agnieszka Borowska (University of Glasgow), Lukasz Romaszko (University of Glasgow), Alan Lazarus (University of Glasgow), Dirk Husmeier (University of Glasgow), Hao Gao (University of Glasgow)

Self-attention based encoder models for strong lens detection
Hareesh Thuruthipilly (National Centre of Nuclear Research, Poland), Adam Zadrożny (National Centre of Nuclear Research, Poland), Agnieszka Pollo (National Centre of Nuclear Research, Poland)

Synerise at KDD Cup 2021: Node Classification in massive heterogeneous graphs
Michał Daniluk (Synerise), Michał Daniluk (Synerise), Jacek Dąbrowski (Synerise), Barbara Rychalska (Synerise), Konrad Gołuchowski (Synerise)

Time aspect in making an actionable prediction of a conversation breakdown
Piotr Janiszewski (Poznań University of Technology), Mateusz Lango (Poznań University of Technology), Jerzy Stefanowski (Poznań University of Technology)

Accepted posters

An efficient manifold density estimator for all recommendation systems
Adam Jakubowski (synerise.com), Jacek Dąbrowski (Synerise.com), Barbara Rychalska (Synerise.com), Michał Daniluk (Synerise.com), Dominika Basaj (Synerise.com)

An Imitation learning approach for the task of coronary artery centerline extraction from CT volumes.
Bartłomiej Cupiał (LifeFlow), Tomasz Konopczyński (LifeFlow), Piotr Miłoś (University of Warsaw)

Application of Machine Learning Techniques to Recipe Processing and Analysis
Bartłomiej Gajda (Warsaw University of Technology student), Michał Grzeszczyk (Warsaw University of Technology student)

Artefact removal from 3D coronary artery segmentation from CT via point cloud neural network
Patryk Rygiel (LifeFlow), Tomasz Konopczyński (LifeFlow), Maciej Zięba (Tooploox, Wrocław University of Science and Technology, Poland )

Automated bias detection in polsich media
Stanisław Bogdanowicz (Uniwersytet Warszawski)

Bayesian inference of cell type proportions in mouse brain and prostate cancer
Agnieszka Geras (MiNI PW), Ewa Szczurek (MIMUW), Shadi Darvish Shafighi (MIMUW), Łukasz Rączkowski (MIMUW), Igor Filipiuk (MIMUW)

DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders
Piotr Bródka (University of Trento, Clebre), Nicola Garau (University of Trento), Niccolo Bisagno (University of Trento), Nicola Conci (University of Trentodevelopment)

Deep Neural Network Approach to Predict Properties of Drugs and Drug-Like Molecules
Magdalena Wiercioch (Jagiellonian University), Johannes Kirchmair (University of Vienna)

Estimating the Secondary Attack Rate of COVID-19 using Twitter data
Tomasz Czernuszenko (University College London), prof. Ingemar Cox (University College London), dr. Vasileios Lampos (University College London), Elad Yom-Tov (Microsoft Israel)

Explainable AI for Photon Science Data Reduction
Barbara Klaudel (Deutsches Elektronen-Synchrotron, Hamburg, Germany / Gdańsk University of Technology), Shah Nawaz (Deutsches Elektronen-Synchrotron, Hamburg, Germany / Center for Free Electron Laser Science (CFEL), Hamburg, Germany), Vahid Rahmani (Deutsches Elektronen-Synchrotron, Hamburg, Germany / Center for Free Electron Laser Science (CFEL), Hamburg, Germany), David Pennicard (Deutsches Elektronen-Synchrotron, Hamburg, Germany / Center for Free Electron Laser Science (CFEL), Hamburg, Germany), Heinz Graafsma (Deutsches Elektronen-Synchrotron, Hamburg, Germany / Center for Free Electron Laser Science (CFEL), Hamburg, Germany / Mid-Sweden University, Sundsvall, Sweden)

Fact-checking must go on!
Albert Sawczyn (Politechnika Wrocławska), Denis Janiak (Politechnika Wrocławska), Jakub Binkowski (Politechnika Wrocławska), Łukasz Augustyniak (Politechnika Wrocławska), Tomasz Kajdanowicz (Politechnika Wrocławska)

Factors determining return rates rates of return on shares of banks listed on the Warsaw Stock Exchange
Bartosz Szabłowski (Nestlé)

Generative Gaussian Mixture Models for Data Imbalance
Iwo Naglik (Institute of Computer Science, Poznan University of Technology), Mateusz Lango (Institute of Computer Science, Poznan University of Technology)

Guide through jungle of models! forester: An R package to automatically select between tree-based models
Anna Kozak (MI2DataLab, Faculty of Mathematics and Information Science, Warsaw University of Technology), Hoang Thien Ly (Faculty of Mathematics and Information Science, Warsaw University of Technology), Szymon Szmajdziński (Faculty of Mathematics and Information Science, Warsaw University of Technology), Przemysław Biecek (Faculty of Mathematics and Information Science, Warsaw University of Technology)

Information Extraction from Historic Sources for the Costumology Purposes
Urszula Kuczma (University of Warsaw), Marcin Lewandowski (University of Warsaw)

IPC 2.0 - prediction of isoelectric point and dissociation dissociation constants
Lukasz P. Kozlowski ( Institute of Informatics, University of Warsaw)

MAIR: Framework for mining relationships between research articles, strategies, and regulations in the field of explainable artificial intelligence
Stanisław Giziński (MI2 Data Lab), Michał Kuźba (MI2 Data Lab), Bartosz Pieliński (Faculty of Political Science and International Studies, University of Warsaw), Julian Sienkiewicz (Faculty of Physics, Warsaw University of Technology), Przemysław Biecek (MI2 Data Lab)

metaMIMIC: analysis of hyperparameter transferability for tabular data using MIMIC-IV database
Katarzyna Woźnica (Mi2DataLab, Faculty of Mathematics and Information Science, Warsaw University of Technology), Mateusz Grzyb (Faculty of Mathematics and Information Science, Warsaw University of Technology), Zuzanna Trafas (Faculty of Computing and Telecommunications, Poznan University of Technology), Przemysław Biecek (Faculty of Mathematics and Information Science, Warsaw University of Technology)

Optimising N-BEATS for the NVIDIA Time-Series Prediction Platform
Jolanta Mozyrska (University of Warsaw), Tomasz Cheda (University of Warsaw)

Sobriety detection by voice analysis using machine learning methods
Mikołaj Najda (AGH University of Science and Technology), Jakub Żółkoś (Boston University), Daria Hemmerling (AGH University of Science and Technology)

Sobriety detection by voice analysis using machine learning methods
Mikołaj Najda (AGH University of Science and Technology), Mikołaj Najda, Jakub Żółkoś, Daria Hemmerling

Universal Neural Vocoding and improving its expressiveness with non-affine Normalizing Flows
Adam Gabryś (Alexa AI), Yunlong Jiao (Alexa AI), Viacheslav Klimkov, (Alexa AI), Daniel Korzekwa (Alexa AI)