Piotr Gainski

16 papers A* 2A 1Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
CounterFlowNet: From Minimal Changes to Meaningful Counterfactual Explanations.
CoRR
Oleksii Furman, Patryk Marszalek, Jan Maslowski, Piotr Gainski, Maciej Zieba, Marek Smieja
2025 J jnl
Diverse and feasible retrosynthesis using GFlowNets.
Inf. Sci.
Piotr Gainski, Michal Koziarski, Krzysztof Maziarz, Marwin H. S. Segler, Jacek Tabor, Marek Smieja
2025 J jnl
Scalable and Cost-Efficient de Novo Template-Based Molecular Generation.
CoRR
Piotr Gainski, Oussama Boussif, Andrei Rekesh, Dmytro Shevchuk, Ali Parviz, Mike Tyers, Robert A. Batey, Michal Koziarski
2025 J jnl
Torsional-GFN: a conditional conformation generator for small molecules.
CoRR
Alexandra Volokhova, Léna Néhale Ezzine, Piotr Gainski, Luca Scimeca, Emmanuel Bengio, Prudencio Tossou, Yoshua Bengio, Alex Hernández-García
2024 J jnl
Chimera: Accurate retrosynthesis prediction by ensembling models with diverse inductive biases.
CoRR
Krzysztof Maziarz, Guoqing Liu, Hubert Misztela, Aleksei Kornev, Piotr Gainski, Holger Hoefling, Mike Fortunato, Rishi Gupta, Marwin H. S. Segler
2024 A* conf
RGFN: Synthesizable Molecular Generation Using GFlowNets.
NeurIPS
Michal Koziarski, Andrei Rekesh, Dmytro Shevchuk, Almer van der Sloot, Piotr Gainski, Yoshua Bengio, Cheng-Hao Liu, Mike Tyers, Robert A. Batey
2024 J jnl
RGFN: Synthesizable Molecular Generation Using GFlowNets.
CoRR
Michal Koziarski, Andrei Rekesh, Dmytro Shevchuk, Almer van der Sloot, Piotr Gainski, Yoshua Bengio, Cheng-Hao Liu, Mike Tyers, Robert A. Batey
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
2024 J jnl
RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets.
CoRR
Piotr Gainski, Michal Koziarski, Krzysztof Maziarz, Marwin H. S. Segler, Jacek Tabor, Marek Smieja
2023 — conf
ChiENN: Embracing Molecular Chirality with Graph Neural Networks.
ECML/PKDD (3)
Piotr Gainski, Michal Koziarski, Jacek Tabor, Marek Smieja
2023 J jnl
ChiENN: Embracing Molecular Chirality with Graph Neural Networks.
CoRR
Piotr Gainski, Michal Koziarski, Jacek Tabor, Marek Smieja
2023 J jnl
Re-evaluating Retrosynthesis Algorithms with Syntheseus.
CoRR
Krzysztof Maziarz, Austin Tripp, Guoqing Liu, Megan Stanley, Shufang Xie, Piotr Gainski, Philipp Seidl, Marwin H. S. Segler
2023 A conf
Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks.
EACL
Piotr Gainski, Klaudia Balazy
2023 J jnl
Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks.
CoRR
Piotr Gainski, Klaudia Balazy
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
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