Stanislaw Jastrzebski

56 papers A* 7A 1Journal 41Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	An Efficient Deep Neural Network to Classify Large 3D Images With Small Objects. IEEE Trans. Medical Imaging Jungkyu Park, Jakub Chledowski, Stanislaw Jastrzebski, Jan Witowski, Yanqi Xu, Linda Du, Sushma Gaddam, Eric Kim, Alana Lewin, Ujas Parikh, Anastasia Plaunova, Sardius Chen, Alexandra Millet, James Park, Kristine Pysarenko, Shalin Patel, Julia E. Goldberg, Melanie Wegener, Linda Moy, Laura Heacock, Beatriu Reig, Krzysztof J. Geras
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`	Generative Models Should at Least Be Able to Design Molecules That Dock Well: A New Benchmark. J. Chem. Inf. Model. Tobiasz Cieplinski, Tomasz Danel, Sabina Podlewska, Stanislaw Jastrzebski
2023	J	`jnl`	Molecule-Edit Templates for Efficient and Accurate Retrosynthesis Prediction. CoRR Mikolaj Sacha, Michal Sadowski, Piotr Kozakowski, Ruard van Workum, Stanislaw Jastrzebski
2022	J	`jnl`	3D-GMIC: an efficient deep neural network to find small objects in large 3D images. CoRR Jungkyu Park, Jakub Chledowski, Stanislaw Jastrzebski, Jan Witowski, Yanqi Xu, Linda Du, Sushma Gaddam, Eric Kim, Alana Lewin, Ujas Parikh, Anastasia Plaunova, Sardius Chen, Alexandra Millet, James Park, Kristine Pysarenko, Shalin Patel, Julia E. Goldberg, Melanie Wegener, Linda Moy, Laura Heacock, Beatriu Reig, Krzysztof J. Geras
2022	A*	`conf`	Characterizing and Overcoming the Greedy Nature of Learning in Multi-modal Deep Neural Networks. ICML Nan Wu, Stanislaw Jastrzebski, Kyunghyun Cho, Krzysztof J. Geras
2022	J	`jnl`	Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks. CoRR Nan Wu, Stanislaw Jastrzebski, Kyunghyun Cho, Krzysztof J. Geras
2022	A*	`conf`	HuggingMolecules: An Open-Source Library for Transformer-Based Molecular Property Prediction (Student Abstract). AAAI Piotr Gainski, Lukasz Maziarka, Tomasz Danel, Stanislaw Jastrzebski
2022	J	`jnl`	RetroGNN: Fast Estimation of Synthesizability for Virtual Screening and De Novo Design by Learning from Slow Retrosynthesis Software. J. Chem. Inf. Model. Cheng-Hao Liu, Maksym Korablyov, Stanislaw Jastrzebski, Pawel Wlodarczyk-Pruszynski, Yoshua Bengio, Marwin H. S. Segler
2021	J	`jnl`	An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. npj Digit. Medicine Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanislaw Jastrzebski, Jan Witowski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras
2021	A*	`conf`	Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization. ICML Stanislaw Jastrzebski, Devansh Arpit, Oliver Åstrand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J. Geras
2021	J	`jnl`	Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits. J. Chem. Inf. Model. Mikolaj Sacha, Mikolaj Blaz, Piotr Byrski, Pawel Dabrowski-Tumanski, Mikolaj Chrominski, Rafal Loska, Pawel Wlodarczyk-Pruszynski, Stanislaw Jastrzebski
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
2020	J	`jnl`	An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. CoRR Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanislaw Jastrzebski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras
2020	J	`jnl`	Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization. CoRR Stanislaw Jastrzebski, Devansh Arpit, Oliver Åstrand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J. Geras
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`	Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening. IEEE Trans. Medical Imaging Nan Wu, Jason Phang, Jungkyu Park, Yiqiu Shen, Zhe Huang, Masha Zorin, Stanislaw Jastrzebski, Thibault Févry, Joe Katsnelson, Eric Kim, Stacey Wolfson, Ujas Parikh, Sushma Gaddam, Leng Leng Young Lin, Kara Ho, Joshua D. Weinstein, Beatriu Reig, Yiming Gao, Hildegard Toth, Kristine Pysarenko, Alana Lewin, Jiyon Lee, Krystal Airola, Eralda Mema, Stephanie Chung, Esther Hwang, Naziya Samreen, Sungheon Gene Kim, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2020	J	`jnl`	Differences between human and machine perception in medical diagnosis. CoRR Taro Makino, Stanislaw Jastrzebski, Witold Oleszkiewicz, Celin Chacko, Robin Ehrenpreis, Naziya Samreen, Chloe Chhor, Eric Kim, Jiyon Lee, Kristine Pysarenko, Beatriu Reig, Hildegard Toth, Divya Awal, Linda Du, Alice Kim, James Park, Daniel K. Sodickson, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2020	J	`jnl`	Emulating Docking Results Using a Deep Neural Network: A New Perspective for Virtual Screening. J. Chem. Inf. Model. Stanislaw Jastrzebski, Maciej Szymczak, Agnieszka Pocha, Stefan Mordalski, Jacek Tabor, Andrzej J. Bojarski, Sabina Podlewska
2020	—	`conf`	Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening. MIDL Nan Wu, Stanislaw Jastrzebski, Jungkyu Park, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2020	J	`jnl`	Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural Networks. CoRR Luke Nicholas Darlow, Stanislaw Jastrzebski, Amos J. Storkey
2020	J	`jnl`	Molecule Attention Transformer. CoRR Lukasz Maziarka, Tomasz Danel, Slawomir Mucha, Krzysztof Rataj, Jacek Tabor, Stanislaw Jastrzebski
2020	J	`jnl`	Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits. CoRR Mikolaj Sacha, Mikolaj Blaz, Piotr Byrski, Pawel Wlodarczyk-Pruszynski, Stanislaw Jastrzebski
2020	—	`conf`	Non-linear ICA Based on Cramer-Wold Metric. ICONIP (3) Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor, Lukasz Maziarka, Stanislaw Jastrzebski
2020	J	`jnl`	RetroGNN: Approximating Retrosynthesis by Graph Neural Networks for De Novo Drug Design. CoRR Cheng-Hao Liu, Maksym Korablyov, Stanislaw Jastrzebski, Pawel Wlodarczyk-Pruszynski, Yoshua Bengio, Marwin H. S. Segler
2020	A*	`conf`	The Break-Even Point on Optimization Trajectories of Deep Neural Networks. ICLR Stanislaw Jastrzebski, Maciej Szymczak, Stanislav Fort, Devansh Arpit, Jacek Tabor, Kyunghyun Cho, Krzysztof J. Geras
2020	J	`jnl`	The Break-Even Point on Optimization Trajectories of Deep Neural Networks. CoRR Stanislaw Jastrzebski, Maciej Szymczak, Stanislav Fort, Devansh Arpit, Jacek Tabor, Kyunghyun Cho, Krzysztof J. Geras
2020	J	`jnl`	Understanding the robustness of deep neural network classifiers for breast cancer screening. CoRR Witold Oleszkiewicz, Taro Makino, Stanislaw Jastrzebski, Tomasz Trzcinski, Linda Moy, Kyunghyun Cho, Laura Heacock, Krzysztof J. Geras
2020	J	`jnl`	We should at least be able to Design Molecules that Dock Well. CoRR Tobiasz Cieplinski, Tomasz Danel, Sabina Podlewska, Stanislaw Jastrzebski
2019	J	`jnl`	Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening. CoRR Nan Wu, Jason Phang, Jungkyu Park, Yiqiu Shen, Zhe Huang, Masha Zorin, Stanislaw Jastrzebski, Thibault Févry, Joe Katsnelson, Eric Kim, Stacey Wolfson, Ujas Parikh, Sushma Gaddam, Leng Leng Young Lin, Kara Ho, Joshua D. Weinstein, Beatriu Reig, Yiming Gao, Hildegard Toth, Kristine Pysarenko, Alana Lewin, Jiyon Lee, Krystal Airola, Eralda Mema, Stephanie Chung, Esther Hwang, Naziya Samreen, Sungheon Gene Kim, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2019	J	`jnl`	Development of New Methods Needs Proper Evaluation - Benchmarking Sets for Machine Learning Experiments for Class A GPCRs. J. Chem. Inf. Model. Damian Lesniak, Sabina Podlewska, Stanislaw Jastrzebski, Igor Sieradzki, Andrzej J. Bojarski, Jacek Tabor
2019	A	`conf`	Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function. AISTATS Wojciech Tarnowski, Piotr Warchol, Stanislaw Jastrzebski, Jacek Tabor, Maciej A. Nowak
2019	A*	`conf`	Large Scale Structure of Neural Network Loss Landscapes. NeurIPS Stanislav Fort, Stanislaw Jastrzebski
2019	J	`jnl`	Large Scale Structure of Neural Network Loss Landscapes. CoRR Stanislav Fort, Stanislaw Jastrzebski
2019	J	`jnl`	Non-linear ICA based on Cramer-Wold metric. CoRR Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor, Lukasz Maziarka, Stanislaw Jastrzebski
2019	—	`conf`	On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length. ICLR (Poster) Stanislaw Jastrzebski, Zachary Kenton, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey
2019	A*	`conf`	Parameter-Efficient Transfer Learning for NLP. ICML Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin de Laroussilhe, Andrea Gesmundo, Mona Attariyan, Sylvain Gelly
2019	J	`jnl`	Parameter-Efficient Transfer Learning for NLP. CoRR Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin de Laroussilhe, Andrea Gesmundo, Mona Attariyan, Sylvain Gelly
2019	J	`jnl`	Split Batch Normalization: Improving Semi-Supervised Learning under Domain Shift. CoRR Michal Zajac, Konrad Zolna, Stanislaw Jastrzebski
2018	J	`jnl`	Commonsense mining as knowledge base completion? A study on the impact of novelty. CoRR Stanislaw Jastrzebski, Dzmitry Bahdanau, Seyedarian Hosseini, Michael Noukhovitch, Yoshua Bengio, Jackie Chi Kit Cheung
2018	J	`jnl`	Cramer-Wold AutoEncoder. CoRR Jacek Tabor, Szymon Knop, Przemyslaw Spurek, Igor T. Podolak, Marcin Mazur, Stanislaw Jastrzebski
2018	J	`jnl`	DNN's Sharpest Directions Along the SGD Trajectory. CoRR Stanislaw Jastrzebski, Zachary Kenton, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey
2018	J	`jnl`	Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function. CoRR Wojciech Tarnowski, Piotr Warchol, Stanislaw Jastrzebski, Jacek Tabor, Maciej A. Nowak
2018	—	`conf`	Finding Flatter Minima with SGD. ICLR (Workshop) Stanislaw Jastrzebski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey
2018	J	`jnl`	Neural Architecture Search Over a Graph Search Space. CoRR Quentin de Laroussilhe, Stanislaw Jastrzebski, Neil Houlsby, Andrea Gesmundo
2018	—	`conf`	Residual Connections Encourage Iterative Inference. ICLR (Poster) Stanislaw Jastrzebski, Devansh Arpit, Nicolas Ballas, Vikas Verma, Tong Che, Yoshua Bengio
2018	—	`conf`	Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio. ICANN (3) Stanislaw Jastrzebski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey
2017	A*	`conf`	A Closer Look at Memorization in Deep Networks. ICML Devansh Arpit, Stanislaw Jastrzebski, Nicolas Ballas, David Krueger, Emmanuel Bengio, Maxinder S. Kanwal, Tegan Maharaj, Asja Fischer, Aaron C. Courville, Yoshua Bengio, Simon Lacoste-Julien
2017	J	`jnl`	A Closer Look at Memorization in Deep Networks. CoRR Devansh Arpit, Stanislaw Jastrzebski, Nicolas Ballas, David Krueger, Emmanuel Bengio, Maxinder S. Kanwal, Tegan Maharaj, Asja Fischer, Aaron C. Courville, Yoshua Bengio, Simon Lacoste-Julien
2017	—	`conf`	Deep Nets Don't Learn via Memorization. ICLR (Workshop) David Krueger, Nicolas Ballas, Stanislaw Jastrzebski, Devansh Arpit, Maxinder S. Kanwal, Tegan Maharaj, Emmanuel Bengio, Asja Fischer, Aaron C. Courville
2017	J	`jnl`	How to evaluate word embeddings? On importance of data efficiency and simple supervised tasks. CoRR Stanislaw Jastrzebski, Damian Lesniak, Wojciech Marian Czarnecki
2017	J	`jnl`	Learning to Compute Word Embeddings On the Fly. CoRR Dzmitry Bahdanau, Tom Bosc, Stanislaw Jastrzebski, Edward Grefenstette, Pascal Vincent, Yoshua Bengio
2017	J	`jnl`	Residual Connections Encourage Iterative Inference. CoRR Stanislaw Jastrzebski, Devansh Arpit, Nicolas Ballas, Vikas Verma, Tong Che, Yoshua Bengio
2017	J	`jnl`	Three Factors Influencing Minima in SGD. CoRR Stanislaw Jastrzebski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey
2016	J	`jnl`	Learning to SMILE(S). CoRR Stanislaw Jastrzebski, Damian Lesniak, Wojciech Marian Czarnecki
2016	J	`jnl`	Osprey: Hyperparameter Optimization for Machine Learning. J. Open Source Softw. Robert T. McGibbon, Carlos X. Hernández, Matthew P. Harrigan, Steven Kearnes, Mohammad M. Sultan, Stanislaw Jastrzebski, Brooke E. Husic, Vijay S. Pande