Krzysztof Maziarz

According to our database, Krzysztof Maziarz authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets.

Piotr Gainski, Michal Koziarski, Krzysztof Maziarz, Marwin H. S. Segler, Jacek Tabor, Marek Smieja

CoRR, 2024

Retro-fallback: retrosynthetic planning in an uncertain world.

Austin Tripp, Krzysztof Maziarz, Sarah Lewis, Marwin H. S. Segler, José Miguel Hernández-Lobato

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

PREFER: A New Predictive Modeling Framework for Molecular Discovery.

Jessica Lanini, Gianluca Santarossa, Finton Sirockin, Richard A. Lewis, Nikolas Fechner, Hubert Misztela, Sarah Lewis, Krzysztof Maziarz, Megan Stanley, Marwin H. S. Segler, Nikolaus Stiefl, Nadine Schneider

J. Chem. Inf. Model., August, 2023

Re-evaluating Retrosynthesis Algorithms with Syntheseus.

Krzysztof Maziarz, Austin Tripp, Guoqing Liu, Megan Stanley, Shufang Xie, Piotr Gainski, Philipp Seidl, Marwin H. S. Segler

CoRR, 2023

Are VAEs Bad at Reconstructing Molecular Graphs?

Hagen Münkler, Hubert Misztela, Michal Pikusa, Marwin H. S. Segler, Nadine Schneider, Krzysztof Maziarz

CoRR, 2023

Retrosynthetic Planning with Dual Value Networks.

Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin H. S. Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu

Proceedings of the International Conference on Machine Learning, 2023

2022

Learning to Extend Molecular Scaffolds with Structural Motifs.

Krzysztof Maziarz, Henry Richard Jackson-Flux, Pashmina Cameron, Finton Sirockin, Nadine Schneider, Nikolaus Stiefl, Marwin H. S. Segler, Marc Brockschmidt

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage Scoring in X-rays.

Krzysztof Maziarz, Anna Krason, Zbigniew Wojna

CoRR, 2021

Learning to Extend Molecular Scaffolds with Structural Motifs.

Krzysztof Maziarz, Henry Jackson-Flux, Pashmina Cameron, Finton Sirockin, Nadine Schneider, Nikolaus Stiefl, Marc Brockschmidt

CoRR, 2021

Hashing modulo alpha-equivalence.

Krzysztof Maziarz, Tom Ellis, Alan Lawrence, Andrew W. Fitzgibbon, Simon Peyton Jones

Proceedings of the PLDI '21: 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2021

FS-Mol: A Few-Shot Learning Dataset of Molecules.

Megan Stanley, John Bronskill, Krzysztof Maziarz, Hubert Misztela, Jessica Lanini, Marwin H. S. Segler, Nadine Schneider, Marc Brockschmidt

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Holistic Multi-View Building Analysis in the Wild with Projection Pooling.

Zbigniew Wojna, Krzysztof Maziarz, Lukasz Jocz, Robert Paluba, Robert Kozikowski, Iasonas Kokkinos

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Gumbel-Matrix Routing for Flexible Multi-task Learning.

Krzysztof Maziarz, Efi Kokiopoulou, Andrea Gesmundo, Luciano Sbaiz, Gábor Bartók, Jesse Berent

CoRR, 2019

2018

Evolutionary-Neural Hybrid Agents for Architecture Search.

Krzysztof Maziarz, Andrey Khorlin, Quentin de Laroussilhe, Andrea Gesmundo

CoRR, 2018

2017

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc V. Le, Geoffrey E. Hinton, Jeff Dean

Proceedings of the 5th International Conference on Learning Representations, 2017