Due to the coronavirus outbreak, all seminars take place online (at regular times). GMUM Seminar takes place every Thursday at 14:00 in Room 1146.
GMUM Seminar is our official seminar. Topics that we cover at this seminars are mostly our finished works, overviews of state-of-the-art methods, and progress in our projects.
Guests are always welcome! If you would like to present at our seminar, send a message to gmum@uj.edu.pl.
Tea Seminar takes place every Friday at 10:00 in Room 1146.
Tea Seminar is a semi-official seminar of our group. Here, we discuss our current research problems and new ideas.
The seminar is open to public, so if you're interested, come and join us with your morning cup of tea (or a mug of coffee).
| Title | Authors | Seminar | Date |
|---|---|---|---|
| TBD | POB | main seminar | 03 June 2021 |
| TBD | POB | main seminar | 08 April 2021 |
| O transformerach (i self-atencji) w cheminformatyce słów kilka | Łukasz Maziarka | main seminar | 01 April 2021 |
| O transformerach (i self-atencji) słów kilka | Łukasz Maziarka | main seminar | 25 March 2021 |
| TBD | POB | main seminar | 18 March 2021 |
| Non-parametric models in a form of function trees and methods of their identification using experimental data | Mikhail Poluektov, Andrew Polar | main seminar | 11 March 2021 |
| TBD | POB | main seminar | 04 March 2021 |
| Compressing Large Transformer-Based Models | Klaudia Bałazy, Mohammadreza Banaei | tea seminar | 26 February 2021 |
| Modele Języka rozumiejące układ dokumentu | Michał Pietruszka | main seminar | 25 February 2021 |
| DigiWorld PreLAB Presentation: Digital Change & Analysis LAB, Global Complex Systems LAB | Magdalena Wójcik, Rafał Wisła, Marta Najda-Janoszka, Anna Szopa, Małgorzata Abbasy, Marcin Grabowski, Magdalena Kozub-Karkut, Piotr Łasak, Paulina Napierała, Sławomir Wyciślak | main seminar | 04 February 2021 |
| Optymalizacja kodu w PyTorch i TensorFlow | Michał Sadowski | tea seminar | 22 January 2021 |
| Prototypes and binarization in the context of the self-explained neural networks | Dawid Rymarczyk | tea seminar | 15 January 2021 |
| Exploiting weakly supervised visual patterns to learn from partial annotations | Konrad Walkowicz, Marek Śmieja | main seminar | 14 January 2021 |
| NeurIPS 2020 reading group (3) | Andrzej Bedychaj, Adriana Borowa, Agnieszka Pocha, Przemysław Rola, Dawid Rymarczyk | tea seminar | 08 January 2021 |
| DigiWorld PreLAB Presentation: Digital Humanities | Jan Rybicki, Tomasz Z. Majkowski | main seminar | 07 January 2021 |
| NeurIPS 2020 reading group (2) | Klaudia Bałazy, Jakub Chłędowski, Aleksandra Nowak, Maciej Wołczyk, Michał Zając | tea seminar | 18 December 2020 |
| NeurIPS 2020 reading group (1) | Krzysztof Galias, Piotr Miłoś, Damian Stachura, Bartosz Wójcik | main seminar | 17 December 2020 |
| Contrastive learning methods | Adriana Borowa, Dawid Rymarczyk, Tomasz Danel | tea seminar | 11 December 2020 |
| Neural network interpretability | Dawid Rymarczyk, Adriana Borowa | main seminar | 10 December 2020 |
| Smooth Loss Functions for Deep Top-k Classification | Przemysław Rola | tea seminar | 04 December 2020 |
| DigiWorld PreLAB Presentation: Jagiellonian Center of Biomedical Imaging "BioImage", Planetary Lab | Zenon Rajfur, Joanna Kozakiewicz, Grzegorz Michałek, Michał Ostrowski, Roman Kwiecień | main seminar | 03 December 2020 |
| Multitask and Disentanglement | Łukasz Maziarka, Aleksandra Nowak, Maciej Wołczyk, Andrzej Bedychaj | tea seminar | 20 November 2020 |
| AI-powered synthesis planning as a key tool for discovering novel drug candidates | Stanisław Jastrzębski | main seminar | 19 November 2020 |
| Które cechy atomowe są ważne? Jak przewidywać stabilność metaboliczną? - podwójne seminarium | Agnieszka Pocha, Tomasz Danel, Łukasz Maziarka, Sabina Podlewska | tea seminar | 13 November 2020 |
| How to write a good research paper? | Tomasz Trzciński | tea seminar | 06 November 2020 |
| Neural Network Training in High Dimensions: Loss Landscape, Neural Tangent Kernel, and the Nonlinear Advantage | Stanislav Fořt | main seminar | 05 November 2020 |
| LIME i SHAP - jak wyjaśniać pojedyncze predykcje? | Agnieszka Pocha | tea seminar | 30 October 2020 |
| Models with discrete latent | Jacek Tabor | tea seminar | 23 October 2020 |
| Analytical problems in medical genomics | Przemysław Kapusta, Paweł Wołkow | main seminar | 22 October 2020 |
| Protokolaryzacja bezpieczeństwa | Artur Gruszczak | tea seminar | 16 October 2020 |
| Czy radioterapia jest bezpieczna? Kontrola jakości w radioterapii. | Zbisław Tabor | main seminar | 15 October 2020 |
| Neural Networks Interpretability: Concept Activation Vectors, Prototype Networks, and Concept Whitening | Bartosz Zieliński, Dawid Rymarczyk | tea seminar | 09 October 2020 |
| Wykorzystanie sieci neuronowych w kalibracji modeli finansowych | Bartłomiej Małkus | tea seminar | 25 September 2020 |
| Continual Learning - Literature Review (2) | Wojciech Masarczyk, Igor Podolak | main seminar | 24 September 2020 |
| Continual Learning - Literature Review | Bartosz Zieliński, Jacek Tabor, Łukasz Struski, Wojciech Masarczyk, Igor Podolak, Dawid Rymarczyk | tea seminar | 18 September 2020 |
| Multi-task & Meta-learning | Marcin Sendera | main seminar | 17 September 2020 |
| 3D Shape and Texture Reconstruction | Javed Ahmad | tea seminar | 11 September 2020 |
| Multilabel Classification II | Jacek Tabor, Przemysław Rola, Przemysław Spurek, Łukasz Struski, Marek Śmieja | main seminar | 10 September 2020 |
| GEval Evaluation Tool, or You'd Better Stop Writing Those Quick-and-Dirty Evaluation Scripts | Filip Graliński | main seminar | 20 August 2020 |
| Do Deep Generative Models Know What They Don't Know? | Marcin Sendera | tea seminar | 14 August 2020 |
| AtlasNet: 3d surface reconstruction based on local parametrisation | Adam Czepielik | tea seminar | 07 August 2020 |
| About Meta-Learning - Short Introduction to MAML | Aleksandra Nowak | tea seminar | 31 July 2020 |
| What is wrong with Attention? | Michał Pietruszka | tea seminar | 24 July 2020 |
| The topology of a latent space in latent variable models | Piotr Tempczyk | main seminar | 23 July 2020 |
| Wprowadzenie do nauczania maszynowego i sztucznej inteligencji (DigiWorld) | Marek Śmieja, Przemysław Spurek, Łukasz Maziarka oraz Bartosz Zieliński | tea seminar | 17 July 2020 |
| Wybory, decyzje, liczby: badania ilościowe nad polityką w DigiWorld | Dariusz Stolicki, Daria Boratyn, Jarosław Flis, Wojciech Słomczyński, Jacek Sokołowski, Karol Życzkowski | main seminar | 16 July 2020 |
| Multi-Label Learning | Jacek Tabor | tea seminar | 26 June 2020 |
| From CNNs and GCNs to Geometric Graph Convolutions | Tomasz Danel | tea seminar | 19 June 2020 |
| Reducing catastrophic forgetting with learning on synthetic data | Wojciech Masarczyk | main seminar | 18 June 2020 |
| End-to-end Sinkhorn Autoencoder with Noise Generator | Kamil Deja | tea seminar | 12 June 2020 |
| From one zero to four heros, a story of multi-agent Reinforcement Learning team in Google Football environment / Single Agent’s Adventures in Google Football Environment by means of Reinforcement Learning | Witalis Domitrz, Maciej Mikuła | main seminar | 04 June 2020 |
| Multi-property extraction with dual-source transformer | Jakub Chłędowski | tea seminar | 29 May 2020 |
| Overview of disentanglement theory and methods (2) | Maciej Wołczyk, Aleksandra Nowak, Łukasz Maziarka, Jacek Tabor, Marek Śmieja, Andrzej Bedychaj, Przemysław Spurek | tea seminar | 22 May 2020 |
| Zastosowanie regularyzacji w celu włączenia dodatkowej informacji do modelu. Sieci neuronowe w szeregach czasowych. | Kewin Pączek | tea seminar | 15 May 2020 |
| Understanding the robustness of deep neural network classifiers for breast cancer screening | Witold Oleszkiewicz | main seminar | 14 May 2020 |
| Overview of disentanglement theory and methods (1) | Maciej Wołczyk, Aleksandra Nowak, Łukasz Maziarka, Jacek Tabor, Marek Śmieja, Andrzej Bedychaj, Przemysław Spurek | tea seminar | 08 May 2020 |
| Neural Networks on Random Graphs | Aleksandra Nowak, Romuald Janik | tea seminar | 24 April 2020 |
| Generowanie związków o poprawionej stabilności | Agnieszka Pocha | tea seminar | 17 April 2020 |
| Multiple Instance Learning | Dawid Rymarczyk, Jacek Tabor, Bartosz Zieliński | tea seminar | 03 April 2020 |
| Can we use Digital Breast Tomosynthesis to enhance breast cancer screening? | Jakub Chłędowski | main seminar | 02 April 2020 |
| Odległości kernelowe między rozkładami prawdopodobieństwa | Jacek Tabor, Przemysław Spurek | tea seminar | 27 March 2020 |
| Automated Scoring of Whole Slide Histology Images | Dawid Rymarczyk, Adriana Borowa, Michał Chałupczak, Tomasz Danel, Wojciech Ozimek, Bartosz Zieliński | main seminar | 26 March 2020 |
| Conditional Invertible Flow for Point Cloud Generation | Michał Stypułkowski | tea seminar | 20 March 2020 |
| We Should At Least Be Able To Design Molecules That Dock Well | Tobiasz Ciepliński | main seminar | 19 March 2020 |
| Flow Models | Łukasz Maziarka, Marcin Sendera | main seminar | 12 March 2020 |
| Challenges in data analysis for (meta-)genomics based intelligence and forensic | Paweł Łabaj | tea seminar | 06 March 2020 |
| Immersive Visual Analytics in Virtual Reality with Applications to Engineering Design in Aerospace and Aeronautics | Sławomir Tadeja | main seminar | 05 March 2020 |
| CoCoGAN | Maciej Szymczak | tea seminar | 28 February 2020 |
| Subjective overview of NeurIPS 2019 (2) | Łukasz Maziarka | main seminar | 27 February 2020 |
| Review of pre-training methods in chemistry (2) | Sławomir Mucha | tea seminar | 24 January 2020 |
| Wprowadzenie HSIC-a | Jacek Tabor | main seminar | 23 January 2020 |
| Wasserstein Autoencoders | Kamila Wójcik | tea seminar | 17 January 2020 |
| Hierarchical correlation reconstruction and predicting parameters of parametric distributions | Jarosław Duda | main seminar | 16 January 2020 |
| Subjective overview of NeurIPS 2019 (1) | Maciej Wołczyk | tea seminar | 10 January 2020 |
| Komputerowe wspomaganie medycznej diagnostyki obrazowej | Zbisław Tabor | main seminar | 09 January 2020 |
| One-shot Architecture Search via Normalized Weights | Bartosz Wójcik | tea seminar | 20 December 2019 |
| Style Based Generative Adversarial Networks | Michał Sadowski | tea seminar | 13 December 2019 |
| Review of pre-training methods in chemistry (1) | Sławomir Mucha | main seminar | 12 December 2019 |
| Set aggregation network as a trainable pooling layer | Aleksandra Nowak | tea seminar | 06 December 2019 |
| 3D point cloud generation using autoencoder based methods | Przemysław Spurek | main seminar | 05 December 2019 |
| Preludium - discussion | tea seminar | 29 November 2019 | |
| Learning Loss for Active Learning | Dawid Rymarczyk, Michał Sadowski, Maksym Titov | tea seminar | 22 November 2019 |
| LoCoGAN – Local Convolutional Generative Adversarial Network | Przemysław Spurek | main seminar | 21 November 2019 |
| Distribution-Interpolation Trade off in Generative Models | Damian Leśniak | tea seminar | 15 November 2019 |
| Uczenie Ganów na zdjęciach o wysokiej rozdzielczości | Szymon Knop, Jacek Tabor, Łukasz Struski, Wiktor Daniec, Przemysław Spurek | tea seminar | 08 November 2019 |
| Entropia mierzona siecią neuronową | Romuald Janik | main seminar | 07 November 2019 |
| HyperGAN | Marcin Sendera | tea seminar | 25 October 2019 |
| Nonlinear Independent Component Analysis and Disentanglement Learning | Aleksandra Nowak | main seminar | 24 October 2019 |
| Deep Weighted Independent Component Analysis (DeepWeICA) | Andrzej Bedychaj, Jacek Tabor, Przemysław Spurek, Aleksandra Nowak | tea seminar | 18 October 2019 |
| Molecule-Augmented Attention Transformer | Łukasz Maziarka, Tomasz Danel | main seminar | 17 October 2019 |
| The Break-Even Point on the Optimization Trajectories of Deep Neural Networks | Stanisław Jastrzębski | additional seminar | 15 October 2019 |
| Topologiczna Analiza Danych | Paweł Dłotko | tea seminar | 11 October 2019 |
| Biologically-Inspired Spatial Neural Networks | Maciej Wołczyk, Jacek Tabor, Marek Śmieja | main seminar | 10 October 2019 |
| Pioneer Networks: Progressively Growing Generative Autoencoder | Szymon Knop | tea seminar | 14 June 2019 |
| Generative Models in Reinforcement Learning | Krzysztof Galias | tea seminar | 07 June 2019 |
| SGD methods overview - from 1st order to online saddle-free 2nd order | Jarosław Duda | main seminar | 06 June 2019 |
| Generowanie zdjęć o wysokiej rozdzielczości | Łukasz Struski, Jacek Tabor, Bartosz Zieliński | tea seminar | 31 May 2019 |
| Dynamika zmian sieci neuronalnych mózgu | Tadeusz Marek | main seminar | 30 May 2019 |
| Stan & Stan & The Hessian | Stanisław Jastrzębski | tea seminar | 24 May 2019 |
| Autoenkoder grafowy oparty o entropię | Mateusz Malik | main seminar | 23 May 2019 |
| Pole wektorowe rekonstrukcji | Mateusz Juda | tea seminar | 17 May 2019 |
| Deep k-Nearest Neighbors | Tomasz Krzyżek | main seminar | 16 May 2019 |
| Deep learning w medycynie | Jan Witowski | main seminar | 09 May 2019 |
| Probabilistic U-Net | Adam Piekarczyk | main seminar | 25 April 2019 |
| Analiza Sentymentu | Krzysztof Rajda | tea seminar | 05 April 2019 |
| PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation | Przemysław Spurek | main seminar | 04 April 2019 |
| Metody SGD Drugiego Rzędu | Jarosław Duda, Stanisław Jastrzębski | tea seminar | 29 March 2019 |
| Graph Convolutional Neural Networks | Łukasz Maziarka | main seminar | 28 March 2019 |
| Graph Convolutional Neural Networks | Łukasz Maziarka, Agnieszka Słowik | tea seminar | 22 March 2019 |
| PhD Defense (open to the public) | Stanisław Jastrzębski | main seminar | 21 March 2019 |
| Przegląd wybranych modeli do śledzenia obiektów (object tracking) | Agnieszka Pocha, Krzysztof Misztal | tea seminar | 15 March 2019 |
| Badania akustyczne nocnych ptasich wędrówek: wykorzystanie metod automatycznych do detekcji głosów | Hanna Pamuła | main seminar | 14 March 2019 |
| Flow-Based Generative Models | Tomasz Danel | tea seminar | 08 March 2019 |
| Wypełnianie brakujących fragmentów obrazów z wykorzystaniem sieci GAN | Michał Sadowski | main seminar | 07 March 2019 |
| Geometry Latent II | Jacek Tabor | tea seminar | 01 March 2019 |
| Semester Summary | main seminar | 28 February 2019 | |
| Hypery II | Ł. Maziarka, M. Śmieja, M. Wołczyk, J. Nowak, J. Tabor | main seminar | 24 January 2019 |
| Reinforcement learning for autonomous driving | Krzysztof Galias | tea seminar | 18 January 2019 |
| Workshops | Nokia | main seminar | 17 January 2019 |
| Ocena wiarygodności, kalibracja gęstości, GAE, MCA | Jarosław Duda | tea seminar | 11 January 2019 |
| Kompresja zdjęć (przegląd SOTA) | Jakub Nowak | main seminar | 10 January 2019 |
| Evolutionary-Neural hybrids for Architecture Search | Krzysztof Maziarz | main seminar | 03 January 2019 |
| On distance methods for clustering of 2D profiles with application to pottery fragments typology | Paulina Czubaj | tea seminar | 14 December 2018 |
| W poszukiwaniu systemu automatycznej analizy wokalizacji ultradźwiękowych gryzoni | Piotr Popik | main seminar | 13 December 2018 |
| Uncertainty in Deep Learning Models | Igor Sieradzki | tea seminar | 07 December 2018 |
| Binary neurons | Tomasz Danel | main seminar | 06 December 2018 |
| AI w analizie zdjęć biologicznych | Krzysztof Misztal | tea seminar | 30 November 2018 |
| IBM Academic Initiative; Kraków Software Laboratory | Barbara Kowalczyk, Łukasz Ćmielowski (IBM) | main seminar | 29 November 2018 |
| Generative models based on Wasserstein distance | Aleksandra Nowak | tea seminar | 23 November 2018 |
| Naśladowanie ludzkiej percepcji w generacji obrazów | Martyna Chruściel | main seminar | 22 November 2018 |
| Hypernetworks | S. Klocek, Ł. Maziarka, J. Tabor | tea seminar | 16 November 2018 |
| Zwodnicze przykłady (ang. adversarial examples) dla sieci neuronowych | Paweł Morawiecki (Instytut Podstaw Informatyki PAN) | main seminar | 15 November 2018 |
| Głębokie przetwarzanie danych strukturalnych (zbiory, grafy, etc.) | J. Tabor, M. Śmieja, Ł. Maziarka, A. Nowak | tea seminar | 09 November 2018 |
| Semi-supervised deep generative model | Maciej Wołczyk | main seminar | 08 November 2018 |
| Początkowa faza trenowania sieci neuronowych | Stanisław Jastrzębski | tea seminar | 26 October 2018 |
| Wstęp do domain adaptation | Tomasz Danel | main seminar | 25 October 2018 |
| Cramer-Wold AutoEncoder | Jacek Tabor | tea seminar | 19 October 2018 |
| Algorytm odwracania odwzorowań wielomianowych i efektywne obliczenia w algebrze symbolicznej | Paweł Bogdan | main seminar | 18 October 2018 |
| Glow - a flow-based generative model | Michał Zając | tea seminar | 12 October 2018 |
| Przemysłowe zastosowanie predykcji defektów oprogramowania wykorzystującej uczenie maszynowe | Jarosław Hryszko | main seminar | 11 October 2018 |
| Estimating joint distribution with polynomial for example for time series prediction | Jarosław Duda | main seminar | 04 October 2018 |
| Projekty badawcze GMUM - przegląd | Jacek Tabor | main seminar | 14 June 2018 |
| Połączenie cyklostacjonarności, funkcjonalnej analizy danych i sygnałów | Jacek Leśkow (PK) | main seminar | 07 June 2018 |
| Learning binary local feature descriptors - their evolution and application in SLAM | Tomasz Trzciński (UW) | main seminar | 24 May 2018 |
| Risk Problems and ML applications within a Bank | Jaromir Dziula, Bartłomiej Szpak (HSBC) | main seminar | 17 May 2018 |
| Generative Autoencoders | Przemysław Spurek | main seminar | 10 May 2018 |
| Geometry of latent space | Jacek Tabor | main seminar | 19 April 2018 |
| Visual pattern discovery by deep learning for the extraction of building characteristics | Matthias Zeppelzauer (St. Pölten University) | main seminar | 12 April 2018 |
| Missing data for Neural Networks | Jacek Tabor, Marek Śmieja, Łukasz Struski | main seminar | 05 April 2018 |
| Latent Space Oddity #2 | J. Tabor, I. Podolak, Ł. Struski | tea seminar | 23 March 2018 |
| Development and evaluation of a deep learning model for protein-ligand binding affinity prediction | Marta Stępniewska-Dziubińska (Instytut Biochemii i Biofizyki PAN) | main seminar | 22 March 2018 |
| Latent Space Oddity #1 | J. Tabor, I. Podolak, Ł. Struski | tea seminar | 16 March 2018 |
| Machine Learning in the world of Internet Media | Joanna Misztal-Radecka (Grupa Onet-RAS Polska) | main seminar | 15 March 2018 |
| On top eigendirections of word embeddings | Jakub Chłędowski | tea seminar | 09 March 2018 |
| A multi-instance deep neural network classifier: application to Higgs boson CP measurement | Piotr Białas (WFAIS) | main seminar | 08 March 2018 |
| Generowanie rymowanych wierszy w języku polskim za pomocą HMM i LSTMów | Tomasz Danel, Julia Łucka | tea seminar | 02 March 2018 |
| SGD Noise Improves Conditioning by Smoothing the Sharpest Directions | Stanisław Jastrzębski | main seminar | 01 March 2018 |
| How deeply deep learning entered the field of Chemistry | Sabina Podlewska (IFPAN) | main seminar | 08 February 2018 |
| Density estimation - A case study | Magda Wiercioch | tea seminar | 02 February 2018 |
| Dermoscopic Image Segmentation for Computer Aided Diagnostic | Leszek Nowak (WFAIS) | main seminar | 01 February 2018 |
| Subspace clustering; Neural networks with incomplete data | M. Śmieja, Ł. Struski, P. Spurek | tea seminar | 26 January 2018 |
| Some nonstandard approaches to hard computational problems | Jarek Duda | main seminar | 25 January 2018 |
| Identifying and attacking the saddle point problem | Agnieszka Pocha | tea seminar | 19 January 2018 |
| A few papers on question answering | Oleksandr Zakharchuk | main seminar | 18 January 2018 |
| Pixel Recurrent Neural Networks | Krzysztof Hajto | tea seminar | 12 January 2018 |
| A new approach for density-based clustering | Magdalena Wiercioch | main seminar | 11 January 2018 |
| Semantic Image Inpainting With Deep Generative Models | Piotr Kowenzowski | tea seminar | 05 January 2018 |
| Teoria Baz Grobnera | Barbara Ciesielska | main seminar | 04 January 2018 |
| Distance Covariance Coefficient | Łukasz Maziarka | tea seminar | 15 December 2017 |
| Sieci Neuronowe Zoptymalizowane Pod Urządzenia Mobilne | Tomasz Danel | main seminar | 14 December 2017 |
| Limitations and Problems of Deep Learning | Stanisław Jastrzębski | tea seminar | 08 December 2017 |
| Understanding How Deep Networks Learn | Stanisław Jastrzębski | main seminar | 07 December 2017 |
| Intro to Variational AutoEncoders | Damian Leśniak & Igor Sieradzki | tea seminar | 01 December 2017 |
| Using omics data in deep learning | Oleksandr Myronov | main seminar | 30 November 2017 |
| IVA - Independent Vector Analysis | Andrzej Bedychaj | tea seminar | 24 November 2017 |
| Algorytmy uczenia maszynowego do adaptacji miejsca wykonywania zadań w środowisku mobilnej chmury obliczeniowej | B. Śnieżyński (AGH), P. Nawrocki (AGH), J. Tabor, K. Misztal | main seminar | 23 November 2017 |
| Selected Topics from Deep Learning by Bengio & Goodfellow, part 1.5 | DL@UJ | tea seminar | 17 November 2017 |
| Tematy na Preludium14 | Damian Leśniak, Igor Sieradzki | main seminar | 16 November 2017 |
| Selected Topics from Deep Learning by Bengio & Goodfellow, part 1 | DL@UJ | tea seminar | 10 November 2017 |
| Nauczanie Bayesowskie | Oleksandr Myronov | main seminar | 09 November 2017 |
| Moment invariants for multi-component shapes with applications to leaf classification | Magda Wiercioch | tea seminar | 27 October 2017 |
| Representation Learning in Textual Entailment Prediction | Kuba Chłędowski | main seminar | 26 October 2017 |
| Leave-one-out SVM | Piotr Kowenzowki | tea seminar | 20 October 2017 |
| Context Encoders, Feature Learning by Impainting | Bartosz Zieliński, Łukasz Struski, Marek Śmieja | main seminar | 19 October 2017 |
| Klastrowanie z ICML17 | dr. Marek Śmieja, dr. Przemysław Spurek, dr. Łukasz Struski | tea seminar | 13 October 2017 |
| New approach to closed form ICA | Andrzej Bedychaj | main seminar | 12 October 2017 |
| Lossless Compression by Substring Enumeration | Danny Dubé (Université Laval) | main seminar | 27 July 2017 |
| Embeddingi w NLP, Klastrowanie Browna | K. Misztal, A. Pocha, Ł. Struski, P. Spurek | main seminar | 20 July 2017 |
| Binarne Reprezentacje Tekstu | Marcin Kurdziel (AGH) | main seminar | 22 June 2017 |
| Co rob_ć _dy w danyc_ są dziury? Techniki radzenia sobie z missing data | Krzysztof Hajto | main seminar | 08 June 2017 |
| Wyszukiwanie anomalii w procesach biznesowych | Szymon Knop | main seminar | 01 June 2017 |
| Feature Selection for Failure Detection | Agnieszka Pocha | main seminar | 25 May 2017 |
| A recipe for simple effective models | Michael Abbott (WFAIS) | main seminar | 18 May 2017 |
| Automatyczne rozpoznawanie utworów muzycznych z wykorzystaniem audio fingerprintingu | Mateusz Kubica | main seminar | 11 May 2017 |
| Independent Component Analysis #2 | Jacek Tabor | main seminar | 04 May 2017 |
| A survey on Membrane Computing: Theory, Applications and Tools | Luis Valencia-Cabrera | main seminar | 27 April 2017 |
| Znajdowanie najbliższej macierzy o określonych własnościach (matrix nearest problems) | Michał Wojtylak | main seminar | 20 April 2017 |
| DBSCAN, HDBSCAN i algorytmy pokrewne | Andrzej Bedychaj | main seminar | 13 April 2017 |
| GPCR Benchmarking | Damian Leśniak | main seminar | 06 April 2017 |
| Machine learning for display advertising | Grzegorz Harańczyk (Criteo) | main seminar | 30 March 2017 |
| Spektroskopia oscylacyjna (IR/RS) i komplementarne techniki w obrazowaniu biomarkerów zmian chorobowych | Katarzyna Marzec (JCET) | main seminar | 23 March 2017 |
| Independent Component Analysis | Jacek Tabor | main seminar | 16 March 2017 |
| Szybka parametryczna estymacja gęstości | Jarek Duda | main seminar | 09 March 2017 |
| Deep Learning (nie) działa, czyli o tym jak uczą się sieci DL | Stanisław Jastrzębski | main seminar | 09 March 2017 |
| Spectral Clustering #2 (at 1 PM) | Sławomir T. Wierzchoń | main seminar | 02 March 2017 |
| Spectral Clustering #1 (at 3 PM) | Sławomir T. Wierzchoń | main seminar | 01 March 2017 |
| Psychiatria, a badania naukowe | Wojciech Datka Rafał Jaeschke | main seminar | 23 February 2017 |
| Introduction to Reinforcement Learning | Krzysztof Hajto | main seminar | 26 January 2017 |
| Rekonstrukcja obrazu w tomografie J-PET | Piotr Białas (WFAIS UJ) | main seminar | 19 January 2017 |
| TBD | Jose Quesada | main seminar | 12 January 2017 |
| Outlier Detection Review | Przemysław Spurek | main seminar | 15 December 2016 |
| Logistic Regression with Pairwise Constraints | Oleksandr Myronov | main seminar | 08 December 2016 |
| Introduction to Batch Normalization | Damian Leśniak | main seminar | 01 December 2016 |
| Extreme Learning Machines | Agnieszka Słowik | main seminar | 24 November 2016 |
| Semi-Supervised Clustering | Marek Śmieja | main seminar | 17 November 2016 |
| Uczenie z nadzorem jako metoda generowania strategii agentów na przykładzie adaptacyjnego zarządzania usługami w mobilnej chmurze obliczeniowej | Bartłomiej Śnieżyński, Piotr Nawrocki (Katedra Informatyki AGH) | main seminar | 10 November 2016 |
| Stare i nowe techniki używane w kompresji danych | Jarek Duda | main seminar | 03 November 2016 |
| "Introduction to Time Series \#2" | Igor Podolak, Damian Leśniak | main seminar | 27 October 2016 |
| "Introduction to Time Series \#1" | Igor Podolak, Damian Leśniak | main seminar | 20 October 2016 |
| Machine Learning w przewidywaniu awarii | Mateusz Marzec - Reliability Solutions | main seminar | 13 October 2016 |
| NLP methods in virtual screening & Neural Prediction Models for Land Conflict Prevention | Szymon Nakoneczny, Konrad Talik | main seminar | 16 June 2016 |
| User2vec: user modeling using LSTM networks | Konrad Żołna (Instytut Matematyki UJ) | main seminar | 09 June 2016 |
| Obrazowanie hiperspektralne i analiza wielowymiarowa w badaniu dzieł sztuki | Agata Mendys | main seminar | 02 June 2016 |
| Active Learning | Igor Sieradzki | main seminar | 19 May 2016 |
| dr.GMUM - towards standarizing our work | Damian Leśniak, Stanisław Jastrzębski | main seminar | 12 May 2016 |
| How to handle missing data in classification using SVM? | Lukasz Struski, Maciej Smieja, Jacek Tabor | main seminar | 28 April 2016 |
| Virtual Reality in surgery | Przemyslaw Korzeniowski (Imperial College of London) | main seminar | 21 April 2016 |
| Bayesian optimization of hyperparameters via Gaussian Processes | Stanisław Jastrzębski | main seminar | 14 April 2016 |
| New coding possibilities with asymmetric sender-receiver knowledge | Jarek Duda | main seminar | 07 April 2016 |
| SVM with additional neutral class | Marek Smieja, Jacek Tabor | main seminar | 31 March 2016 |
| Past, present and future of DNA sequencing, alignment and compression | Jarek Duda | main seminar | 10 March 2016 |
| Independent Component Analysis | Przemysław Spurek | main seminar | 03 March 2016 |
| Wprowadzenie do teorii macierzy przypadkowych. | Piotr Warchoł [WFAIS] | main seminar | 04 February 2016 |
| Komputerowo wspomagane projektowanie leków. Metody i wyzwania. | Krzysztof Rataj [Instytut Farmakologii PAN] | main seminar | 28 January 2016 |
| Entropijne klastrowanie rzadkich binarnych danych wysokowymiarowych | Marek Śmieja | main seminar | 21 January 2016 |
| Metrologia współrzędnościowa w badaniach materiałów biologicznych - problemy wybrane | Artur Wójcik [UR] | main seminar | 14 January 2016 |
| Semi-Supervised Representation Learning | Stanisław Jastrzębski | main seminar | 07 January 2016 |
| Classification of extremely imbalanced, binary datasets - case study in cheminformatics | Wojciech Czarnecki | main seminar | 17 December 2015 |
| Nowe podejście do klasyfikacji oparte o algorytm działów wodnych | Mateusz Baran [IT PK] | main seminar | 10 December 2015 |
| Biometryczny system identyfikacji człowieka na podstawie cech siatkówki oka | Michał Drobniak | main seminar | 26 November 2015 |
| A Kaggle competition on brain EEG | Romuald Janik [FAIS UJ] | main seminar | 26 November 2015 |
| Modele z dużą liczbą zmiennych jakościowych | Piotr Kościelniak [IM UJ] | main seminar | 19 November 2015 |
| Potencjalne aplikacje systemów AI w Neuroobrazowaniu | Bartłomiej Kroczek ○ Michał Ociepka | main seminar | 12 November 2015 |
| Deep convolutional filter banks for texture recognition and segmentation | Bartosz Zieliński | main seminar | 05 November 2015 |
| Neurosolver - Neuromorphic General Problem Solver | Andrzej Bieszczad | main seminar | 22 October 2015 |
| Deep architectures in vision and NLP | Magdalena Wiercioch | main seminar | 15 October 2015 |
| Normalized rotation molecular shape descriptors | Jarosław Duda | main seminar | 08 October 2015 |
| Improving multi-label classification by dividing the label space using modularity-maximizing community detection methods | Piotr Szymański | main seminar | 02 July 2015 |
| Topological Data Analysis: introduction and persistent homology #2 | Grzegorz Jablonski | main seminar | 25 June 2015 |
| Analiza danych i obrazów miażdżycowych ○ Segmentacja obrazów medycznych – metody atlasowe i modele statystyczne | Bartosz Zieliński, Zbisław Tabor | main seminar | 11 June 2015 |
| Topological Data Analysis: introduction and persistent homology | Grzegorz Jablonski | main seminar | 28 May 2015 |
| Lattice computing | Manuel Grana | main seminar | 14 May 2015 |
| "Fushion learning room 0094" | Regina Liu | main seminar | 07 May 2015 |
| MLE with constraints #2 | Przemysław Spurek | main seminar | 30 April 2015 |
| "@plSIGML - Gliwice" | main seminar | 23 April 2015 | |
| MLE with constraints #1 | Przemysław Spurek | main seminar | 16 April 2015 |
| AdaSS | Michał Woźniak | main seminar | 09 April 2015 |
| Soft clustering | Magdalena Wiercioch, Marek Śmieja, Jacek Tabor | main seminar | 26 March 2015 |
| Subspace Memory Clustering #3 ○ Generalized Projected Clusters - ORCLUS | Łukasz Struski, Krzysztof Hajto | main seminar | 19 March 2015 |
| Subspace Memory Clustering #2 | Łukasz Struski | main seminar | 12 March 2015 |
| Subspace Memory Clustering #1 | Łukasz Struski | main seminar | 05 March 2015 |
| Hilberg's Conjecture | Jacek Tabor | main seminar | 26 February 2015 |
| "@TFML - Będlewo" | GMUM | main seminar | 19 February 2015 |
| Weighted Tanimoto ELM for Drug Discovery - Theoretical Part | Wojciech Czarnecki | main seminar | 12 February 2015 |
| Weighted Tanimoto ELM for Drug Discovery - Practical Part | Wojciech Czarnecki | main seminar | 05 February 2015 |
| Tracking of the particles in Time Projection Chamber in NA61/SHINE experiment | Oskar Wyszyński | main seminar | 29 January 2015 |
| Content-based recommendations with Poisson factorization | Joanna Misztal | main seminar | 22 January 2015 |
| Grounded Compositional Semantics for Finding and Describing Images with Sentences | Magdalena Wiercioch | main seminar | 15 January 2015 |
| Wykrywanie i rozpoznawanie eliptycznych wzorców | Krzysztof Misztal | main seminar | 08 January 2015 |
| Maximal Entropy Random Walk in information channels, diffusion and analysis of graphs #2 | Jarosław Duda | main seminar | 18 December 2014 |
| Maximal Entropy Random Walk in information channels, diffusion and analysis of graphs | Jarosław Duda | main seminar | 11 December 2014 |
| Density clusterings | Mateusz Malik | main seminar | 04 December 2014 |
| Quantum finite automata | Wiesław Pałka | main seminar | 27 November 2014 |
| Iris segmentation vs. CEC | Krzysztof Misztal | main seminar | 20 November 2014 |
| Active Function Cross Entropy Clustering | Przemysław Spurek | main seminar | 13 November 2014 |
| Asymmetric Numeral Systems, czyli jak dodać ułamkowe bity do kodera Huffmana | Jarosław Duda | main seminar | 06 November 2014 |
| Turbiny | Jacek Tabor | main seminar | 30 October 2014 |
| Entropy based classification @plSIGML - Łódź | Wojciech Czarnecki | main seminar | 24 October 2014 |
| HCOC - Hierarchical objects classification @plSIGML - Łódź | Igor Podolak | main seminar | 23 October 2014 |
| Organizational meeting. What was GMUM up to during summer? | Jacek Tabor, Igor Podolak | main seminar | 16 October 2014 |
| Guest seminar from University of Edinburgh | Krzysztof Geras | main seminar | 16 July 2014 |
| Modele propagacji wpływu w sieciach społecznych | Anna Szczepanek | main seminar | 12 June 2014 |
| Monte Carlo Markov Chains | Przemysław Spurek | main seminar | 05 June 2014 |
| HCOC i inne | Igor Podolak | main seminar | 22 May 2014 |
| Shannon's coding theorem | Przemysław Spurek | main seminar | 15 May 2014 |
| Three months of kaggling | Wojciech Czarnecki | main seminar | 08 May 2014 |
| Recent advances in human-centric video understanding | Marín-Jiménez | main seminar | 24 April 2014 |
| On machine learning applications for code testing | Adam Roman | main seminar | 10 April 2014 |
| Autoencoders as building blocks of Deep Learning | Magdalena Wiercioch | main seminar | 03 April 2014 |
| Uczenie maszynowe obrazów znamion barwnikowych | Grzegorz Surówka | main seminar | 27 March 2014 |
| Będlewo | Igor Podolak, Przemysław Spurek (at Horizons of Mathematics 2014) | main seminar | 20 March 2014 |
| Cross Entropy Clustering | Jacek Tabor (at plSIGML seminar, Wroclaw University of Technology) | main seminar | 17 March 2014 |
| On the SVM parameters selection in compounds activity prediction | Sabina Smusz | main seminar | 13 March 2014 |
| Asymmetric Clustering Index ○ From academia to business | Marek Śmieja, Grzegorz Świrszcz | main seminar | 06 March 2014 |
| On OMP convergence | Grzegorz Świrszcz | main seminar | 27 February 2014 |
| On Renyi's Entropy, Density estimation and classification #2 | Wojciech Czarnecki | main seminar | 13 February 2014 |
| On Renyi's Entropy, Density estimation and classification #1 | Wojciech Czarnecki | main seminar | 06 February 2014 |
| Introduction to the Density Estimation | Jacek Tabor | main seminar | 30 January 2014 |
| Introduction to the Entropy | Jacek Tabor | main seminar | 23 January 2014 |
| Deep learning - introduction #3 | Igor Podolak | main seminar | 16 January 2014 |
| Deep learning - introduction #2 | Igor Podolak | main seminar | 09 January 2014 |
| Deep learning - introduction #1 | Igor Podolak | main seminar | 19 December 2013 |
