prof. dr hab. Jacek Tabor dr hab. Igor T. Podolak dr Jarek Duda dr Krzysztof Misztal dr hab. Adam Roman dr Marek Śmieja dr Przemysław Spurek dr Marcin Żelawski dr Bartosz Zieliński dr Wojciech M. Czarnecki
mgr Stanisław Jastrzębski mgr Damian Leśniak mgr Maciej J. Mikulski mgr Agnieszka Pocha mgr Igor Sieradzki mgr Magdalena Wiercioch mgr Konrad Żołna mgr Jakub Chłędowski mgr Piotr Kowenzowski mgr Łukasz Maziarka

Main collaborators

dr Wojciech M. Czarnecki
5
mgr Damian Leśniak
3
mgr Igor Sieradzki
2
dr hab. Igor T. Podolak
1
mgr Stanisław Jastrzębski
Phd student under supervision of prof. dr hab. Jacek Tabor http://kudkudak.github.io/ stanislaw.jastrzebski@uj.edu.pl
representation learning, cheminformatics, natural language processing
room 1056

Papers

2018

S Jastrzębski, Z Kenton, N Ballas, A Fischer, A Storkey, Y Bengio, SGD Smooths The Sharpest Directions, (2018)
S Jastrzębski, Z Kenton, D Arpit, N Ballas, A Fischer, Y Bengio, A Storkey, Finding Flatter Minima with SGD, Internation Conference on Learning Algorithms 2018 (workshop track) (2018)
S Jastrzębski, D Bahdanau, S Hosseini, M Noukhovitch, Y Bengio, ..., Commonsense mining as knowledge base completion? A study on the impact of novelty, New Forms of Generalization in Deep Learning and Natural Language Processing… (2018)

2017

Andrzej Bojarski, Wojciech Czarnecki, Stanisław Jastrzębski, Damian Leśniak, Sabina Podlewska Quo vadis G Protein-Coupled Receptor ligands? A tool for analysis of the emergence of new groups of compounds over time, BIOORG MED CHEM LETT vol. 27 (2017), 626-631
Devansh Arpit, Nicolas Ballas, Aaron Courville, Bengio Emmanuel, Asja Fischer, Stanisław Jastrzębski, Maxinder S. Kanwal, David Krueger, Tegan Maharaj Deep Nets Don't Learn via Memorization, INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS (WORKSHOP TRACK) (2017),
Yoshua Bengio, Bahdanau Dzmitry, Grefenstette Edward, Stanisław Jastrzębski, Vincent Pascal, Bosc Tom Learning to Compute Word Embeddings On the Fly, MONTREAL AI SYMPOSIUM 2017 (2017),
Devansh Arpit, Nicolas Ballas, Yoshua Bengio, Bengio Emmanuel, Asja Fischer, Stanisław Jastrzębski, Maxinder S. Kanwal, David Krueger, Simon Lacoste-Julien, Tegan Maharaj A Closer Look at Memorization in Deep Networks, (2017),
Devansh Arpit, Nicolas Ballas, Yoshua Bengio, Stanisław Jastrzębski Residual connections encourage iterative inference, INTERNATIONAL CONFERENCE ON LEARNING ALGORITHMS 2018 (2017),
Wojciech Czarnecki, Stanisław Jastrzębski, Damian Leśniak How to evaluate word embeddings? On importance of data efficiency and simple supervised tasks, ARXIV (2017),
S Jastrzębski*, Z Kenton*, D Arpit, N Ballas, A Fischer, Y Bengio, ..., Three factors influencing minima in SGD, arXiv:1711.04623 (2017)

2016

Wojciech Czarnecki, Stanisław Jastrzębski, Damian Leśniak Learning to SMILE(S), INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS (WORKSHOP TRACK) (2016),
RT McGibbon, CX Hernóndez, MP Harrigan, S Kearnes, MM Sultan, ..., Osprey: Hyperparameter optimization for machine learning, J. Open Source Software 1, 00034 (2016)
Stanisław Jastrzębski, Igor Sieradzki On Certain Limitations of Recursive Representation Model, SCHEDAE INFORMATICAE vol. 25 (2016), 37-47

2015

Wojciech Czarnecki, Stanisław Jastrzębski, Sabina Podlewska, Igor Sieradzki Active Learning of Compounds Activity - Towards Scientifically Sound Simulation of Drug Candidates Identification, PROCEEDINGS OF 2ND WORKSHOP ON MACHINE LEARNING IN LIFE SCIENCES (2015), 40-51
Wojciech Czarnecki, Stanisław Jastrzębski Analysis of compounds activity concept learned by SVM using robust Jaccard based low-dimensional embedding, SCHEDAE INFORMATICAE vol. 24 (2015), 9-19

2013

Stanisław Jastrzębski, Igor Podolak Density Invariant Detection of Osteoporosis Using Growing Neural Gas, PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON COMPUTER RECOGNITION SYSTEMS CORES 2013 vol. Springer International Publishing (2013), 629-638

Contact Us

Igor Podolak, PhD
Group of Machine Learning Research
Faculty of Mathematics and Computer Science
ul. Lojasiewicza 6
30-342, Cracow, Poland