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Ilia Igashov
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2020 – today
- 2024
- [j3]Ilia Igashov
, Hannes Stärk, Clément Vignac, Arne Schneuing
Equivariant 3D-conditional diffusion model for molecular linker design. Nat. Mac. Intell. 6(4): 417-427 (2024) - [c4]Ilia Igashov, Arne Schneuing, Marwin H. S. Segler, Michael M. Bronstein, Bruno E. Correia:
RetroBridge: Modeling Retrosynthesis with Markov Bridges. ICLR 2024 - 2023
- [c3]Soledad Villar, Benjamin Paul Chamberlain, Yuanqi Du, Hannes Stärk, Chaitanya K. Joshi, Andreea Deac, Iulia Duta, Joshua Robinson, Yanqiao Zhu, Kexin Huang, Michelle M. Li, Sofia Bourhim, Ilia Igashov, Alexandre Duval, Mathieu Alain, Dominique Beaini, Xinyu Yuan:
The Second Learning on Graphs Conference: Preface. LoG 2023: i-xix - [i5]Ilia Igashov, Arne Schneuing
RetroBridge: Modeling Retrosynthesis with Markov Bridges. CoRR abs/2308.16212 (2023) - 2022
- [c2]Dmitrii Zhemchuzhnikov, Ilia Igashov, Sergei Grudinin:
6DCNN with Roto-Translational Convolution Filters for Volumetric Data Processing. AAAI 2022: 4707-4715 - [c1]Bastian Rieck, Razvan Pascanu, Yuanqi Du, Hannes Stärk, Derek Lim, Chaitanya K. Joshi, Andreea Deac, Iulia Duta, Joshua Robinson, Gabriele Corso, Leonardo Cotta, Yanqiao Zhu, Kexin Huang, Michelle M. Li, Sofia Bourhim, Ilia Igashov:
The First Learning on Graphs Conference: Preface. LoG 2022: i-xxiii - [i4]Ilia Igashov
Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design. CoRR abs/2210.05274 (2022) - [i3]Arne Schneuing
Structure-based Drug Design with Equivariant Diffusion Models. CoRR abs/2210.13695 (2022) - 2021
- [j2]Ilia Igashov
VoroCNN: deep convolutional neural network built on 3D Voronoi tessellation of protein structures. Bioinform. 37(16): 2332-2339 (2021) - [j1]Ilia Igashov
Spherical convolutions on molecular graphs for protein model quality assessment. Mach. Learn. Sci. Technol. 2(4): 45005 (2021) - [i2]Dmitrii Zhemchuzhnikov, Ilia Igashov, Sergei Grudinin:
6DCNN with roto-translational convolution filters for volumetric data processing. CoRR abs/2107.12078 (2021) - 2020
- [i1]Ilia Igashov, Nikita Pavlichenko, Sergei Grudinin:
Spherical convolutions on molecular graphs for protein model quality assessment. CoRR abs/2011.07980 (2020)
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