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ORCIDKrzysztof Maziarz
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2020 – today
- 2024
[c7]Austin Tripp, Krzysztof Maziarz, Sarah Lewis, Marwin H. S. Segler, José Miguel Hernández-Lobato:
Retro-fallback: retrosynthetic planning in an uncertain world. ICLR 2024- [i12]Piotr Gainski, Michal Koziarski, Krzysztof Maziarz, Marwin H. S. Segler, Jacek Tabor, Marek Smieja:
RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets. CoRR abs/2406.18739 (2024) - 2023
- [j1]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:
PREFER: A New Predictive Modeling Framework for Molecular Discovery. J. Chem. Inf. Model. 63(15): 4497-4504 (2023) - [c6]Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin H. S. Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu:
Retrosynthetic Planning with Dual Value Networks. ICML 2023: 22266-22276 - [i11]Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin H. S. Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu:
Retrosynthetic Planning with Dual Value Networks. CoRR abs/2301.13755 (2023) - [i10]Hagen Muenkler, Hubert Misztela, Michal Pikusa, Marwin H. S. Segler, Nadine Schneider, Krzysztof Maziarz:
Are VAEs Bad at Reconstructing Molecular Graphs? CoRR abs/2305.03041 (2023) - [i9]Austin Tripp, Krzysztof Maziarz, Sarah Lewis, Marwin H. S. Segler, José Miguel Hernández-Lobato:
Retro-fallback: retrosynthetic planning in an uncertain world. CoRR abs/2310.09270 (2023) - [i8]Krzysztof Maziarz, Austin Tripp, Guoqing Liu, Megan Stanley, Shufang Xie, Piotr Gainski, Philipp Seidl, Marwin H. S. Segler:
Re-evaluating Retrosynthesis Algorithms with Syntheseus. CoRR abs/2310.19796 (2023) - 2022
- [c5]Krzysztof Maziarz, Henry Richard Jackson-Flux, Pashmina Cameron, Finton Sirockin, Nadine Schneider, Nikolaus Stiefl, Marwin H. S. Segler, Marc Brockschmidt:
Learning to Extend Molecular Scaffolds with Structural Motifs. ICLR 2022 - 2021
- [c4]Zbigniew Wojna, Krzysztof Maziarz, Lukasz Jocz, Robert Paluba, Robert Kozikowski, Iasonas Kokkinos:
Holistic Multi-View Building Analysis in the Wild with Projection Pooling. AAAI 2021: 2870-2878 - [c3]Megan Stanley, John Bronskill, Krzysztof Maziarz, Hubert Misztela, Jessica Lanini, Marwin H. S. Segler, Nadine Schneider, Marc Brockschmidt:
FS-Mol: A Few-Shot Learning Dataset of Molecules. NeurIPS Datasets and Benchmarks 2021 - [c2]Krzysztof Maziarz, Tom Ellis, Alan Lawrence, Andrew W. Fitzgibbon, Simon Peyton Jones:
Hashing modulo alpha-equivalence. PLDI 2021: 960-973 - [i7]Krzysztof Maziarz, Henry Jackson-Flux, Pashmina Cameron, Finton Sirockin, Nadine Schneider, Nikolaus Stiefl, Marc Brockschmidt:
Learning to Extend Molecular Scaffolds with Structural Motifs. CoRR abs/2103.03864 (2021) - [i6]Krzysztof Maziarz, Anna Krason, Zbigniew Wojna:
Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage Scoring in X-rays. CoRR abs/2104.13915 (2021) - [i5]Krzysztof Maziarz, Tom Ellis, Alan Lawrence, Andrew W. Fitzgibbon, Simon Peyton Jones:
Hashing Modulo Alpha-Equivalence. CoRR abs/2105.02856 (2021) - 2020
- [i4]Zbigniew Wojna, Krzysztof Maziarz, Lukasz Jocz, Robert Paluba, Robert Kozikowski, Iasonas Kokkinos:
Holistic Multi-View Building Analysis in the Wild with Projection Pooling. CoRR abs/2008.10041 (2020)
2010 – 2019
- 2019
- [i3]Krzysztof Maziarz, Efi Kokiopoulou, Andrea Gesmundo, Luciano Sbaiz, Gábor Bartók, Jesse Berent:
Gumbel-Matrix Routing for Flexible Multi-task Learning. CoRR abs/1910.04915 (2019) - 2018
- [i2]Krzysztof Maziarz, Andrey Khorlin, Quentin de Laroussilhe, Andrea Gesmundo:
Evolutionary-Neural Hybrid Agents for Architecture Search. CoRR abs/1811.09828 (2018) - 2017
- [c1]Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc V. Le, Geoffrey E. Hinton, Jeff Dean:
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer. ICLR (Poster) 2017 - [i1]Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc V. Le, Geoffrey E. Hinton, Jeff Dean:
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer. CoRR abs/1701.06538 (2017)
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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