Krzysztof Maziarz
Krzysztof Maziarz
Microsoft Research AI4Science
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Outrageously large neural networks: The sparsely-gated mixture-of-experts layer
N Shazeer, A Mirhoseini, K Maziarz, A Davis, Q Le, G Hinton, J Dean
International Conference on Learning Representations (ICLR 2017), 2017
Learning to Extend Molecular Scaffolds with Structural Motifs
K Maziarz, H Jackson-Flux, P Cameron, F Sirockin, N Schneider, N Stiefl, ...
International Conference on Learning Representations (ICLR 2022), 2022
FS-Mol: A Few-Shot Learning Dataset of Molecules
M Stanley, JF Bronskill, K Maziarz, H Misztela, J Lanini, M Segler, ...
Neural Information Processing Systems: Datasets and Benchmarks (NeurIPS 2021), 2021
Evolutionary-Neural Hybrid Agents for Architecture Search
K Maziarz, M Tan, A Khorlin, M Georgiev, A Gesmundo
Workshop on AutoML (ICML-W 2019), 2019
Flexible Multi-task Networks by Learning Parameter Allocation
K Maziarz, E Kokiopoulou, A Gesmundo, L Sbaiz, G Bartok, J Berent
Workshop on Neural Architecture Search (ICLR-W 2021), 2021
Hashing Modulo Alpha-Equivalence
K Maziarz, T Ellis, A Lawrence, A Fitzgibbon, SP Jones
Programming Language Design and Implementation (PLDI 2021), 2021
Re-Evaluating Chemical Synthesis Planning Algorithms
A Tripp, K Maziarz, S Lewis, G Liu, M Segler
AI for Science: Progress and Promises (NeurIPS-W 2022), 2022
Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage Scoring in X-rays
K Maziarz, A Krason, Z Wojna
Workshop on AI for Public Health (ICLR-W 2021), 2021
Holistic Multi-View Building Analysis in the Wild with Projection Pooling
Z Wojna, K Maziarz, Ł Jocz, R Pałuba, R Kozikowski, I Kokkinos
AAAI Conference on Artificial Intelligence (AAAI 2021), 2021
The Slow-coloring Game on Outerplanar, Planar, and k-degenerate Graphs
G Gutowski, T Krawczyk, K Maziarz, DB West, M Zajac, X Zhu
Journal of Combinatorics, 2017
Retrosynthetic Planning with Dual Value Networks
G Liu, D Xue, S Xie, Y Xia, A Tripp, K Maziarz, M Segler, T Qin, Z Zhang, ...
International Conference on Machine Learning (ICML 2023), 2023
Realism Index: Interpolation in Generative Models with Arbitrary Prior
Ł Struski, J Tabor, I Podolak, A Nowak, K Maziarz
arXiv preprint, 2019
Are VAEs Bad at Reconstructing Molecular Graphs?
H Muenkler, H Misztela, M Pikusa, M Segler, N Schneider, K Maziarz
arXiv preprint arXiv:2305.03041, 2023
PREFER: A New Predictive Modeling Framework for Molecular Discovery
J Lanini, G Santarossa, F Sirockin, R Lewis, N Fechner, H Misztela, ...
Journal of Chemical Information and Modeling 63 (15), 4497-4504, 2023
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