I am a 3rd year PhD student @ Jagiellonian University supervised by Prof. Jacek Tabor and co-supervised by Prof. Amos Storkey (University of Edinburgh). Adviser to startups (in stealth mode :) ). I spent two summers as a visiting student with Prof. Yoshua Bengio. Prior to that I completed industrial internships with Palantir and Microsoft.

My email is staszek.jastrzebski (on gmail).

My main research goal is to understand how deep network generalize. My research interests include:

  • Optimization in Deep Learning
  • Representation Learning
  • Natural Language Processing
  • Computer Aided Drug Design

Co-supervised MSc/BSc students:

  • [MSc] Tomasz Wesołowski - Relevance of enriching word embeddings in modern deep natural language processing
  • [Defended, MSc] Andrii Krutsylo - Physics aware representation for drug discovery
  • [Defended, BSc] Michał Soboszek - Evaluating word embeddings
  • [Defended, MSc] Jakub Chłędowski - Representation learning for textual entailment
  • [Defended, MSc] Mikołaj Sacha - Meta learning and sharpness of the minima

Selected publications

For a full list please see my Google Scholar profile.

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DNN's Sharpest Directions Along SGD Trajectory

S. Jastrzębski, Z. Kenton, N. Ballas, A. Fischer, Y. Bengio, A. Storkey

Modern Trends in Nonconvex Optimization for Machine Learning Workshop (ICML, 2018)
.pdf poster

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Three factors influencing minima in SGD

S. Jastrzębski*, Z. Kenton*, D. Arpit, N. Ballas, A. Fischer, Y. Bengio, A. Storkey

International Conference on Artificial Neural Networks 2018 (oral), International Conference on Learning Representations 2018 (workshop)
.pdf

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Residual Connections Encourage Iterative Inference

S. Jastrzębski*, D. Arpit*, N. Ballas, V. Verma, T. Che, Y. Bengio

International Conference on Learning Representations 2018
.pdf poster

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A Closer Look at Memorization in Deep Networks

D. Arpit*, S. Jastrzębski*, N. Ballas*, D. Krueger*, T. Maharaj, E. Bengio, A. Fischer, A. Courville, S. Lacoste-Julien, Y. Bengio

International Conference on Machine Learning 2017
.pdf poster slides

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Quo vadis G Protein-Coupled Receptor ligands? A tool for analysis of the emergence of new groups of compounds over time

D. Lesniak, S. Jastrzębski, W. M. Czarnecki, S. Podlewska, A. Bojarski

Bioorganic & Medicinal Chemistry Letters, 2017
.pdf

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Learning to SMILE(S)

S. Jastrzębski, D. Lesniak, W. M. Czarnecki

International Conference on Learning Representations 2016 (workshop track)
.pdf poster

Short CV

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MILA

Research intern supervised by prof. Yoshua Bengio

Summer 2016 and Summer 2017, Montreal, Canda

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Palantir

Machine Learning intern, fraud detection models and Deep NLP applications

2016, London, UK

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University of Edinburgh

Research intern, Deep Learning for Go, under the supervision of prof. Amos Storkey

9-11.2015, Edinburgh, UK

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Palantir

SDE intern, distributed data systems

2015, Palo Alto, USA

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Microsoft

SDE intern, API research and design

2014, Redmond, USA

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wide.io

SDE intern, data processing framework development

2013, London, UK

Code

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Word Embeddings Benchmarks

Python package for evaluating word embeddings.

github

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GMUM.R

ML algorithms C++ implementations for R, including online clustering, swappable SVM library interface and new clustering algorithm.

github url

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KrakRobot Simulator

Simulator for 2015 and 2016 editions online qualification round.

github url

Talks

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Optimization in Deep Learning

Lecture @ GMUM Deep Learning Workshop

2018, Cracow, Poland
slides

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Understanding How Deep Networks Learn

Invited talk @ PL in ML

2017, Warsaw, Poland
slides video