Ilia Igashov

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Convolutional Neural Network

Maximum Intensity Projection

Diffusion Models

Top Venues

Mach. Learn. Sci. Technol.

Publications

Ilia Igashov, Arne Schneuing, Marwin H. S. Segler, Michael M. Bronstein, Bruno E. Correia
RetroBridge: Modeling Retrosynthesis with Markov Bridges. ICLR (2024)
Ilia Igashov, Hannes Stärk, Clément Vignac, Arne Schneuing, Victor Garcia Satorras, Pascal Frossard, Max Welling, Michael M. Bronstein, Bruno E. Correia
Equivariant 3D-conditional diffusion model for molecular linker design. Nat. Mac. Intell. 6 (4) (2024)
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)
Ilia Igashov, Arne Schneuing, Marwin Segler, Michael M. Bronstein, Bruno E. Correia
RetroBridge: Modeling Retrosynthesis with Markov Bridges. CoRR (2023)
Arne Schneuing, Yuanqi Du, Charles Harris, Arian R. Jamasb, Ilia Igashov, Weitao Du, Tom L. Blundell, Pietro Lió, Carla Gomes, Max Welling, Michael M. Bronstein, Bruno E. Correia
Structure-based Drug Design with Equivariant Diffusion Models. CoRR (2022)
Dmitrii Zhemchuzhnikov, Ilia Igashov, Sergei Grudinin
6DCNN with Roto-Translational Convolution Filters for Volumetric Data Processing. AAAI (2022)
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)
Ilia Igashov, Hannes Stärk, Clément Vignac, Victor Garcia Satorras, Pascal Frossard, Max Welling, Michael M. Bronstein, Bruno E. Correia
Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design. CoRR (2022)
Ilia Igashov, Kliment Olechnovic, Maria Kadukova, Ceslovas Venclovas, Sergei Grudinin
VoroCNN: deep convolutional neural network built on 3D Voronoi tessellation of protein structures. Bioinform. 37 (16) (2021)
Ilia Igashov, Nikita Pavlichenko, Sergei Grudinin
Spherical convolutions on molecular graphs for protein model quality assessment. Mach. Learn. Sci. Technol. 2 (4) (2021)
Dmitrii Zhemchuzhnikov, Ilia Igashov, Sergei Grudinin
6DCNN with roto-translational convolution filters for volumetric data processing. CoRR (2021)
Ilia Igashov, Nikita Pavlichenko, Sergei Grudinin
Spherical convolutions on molecular graphs for protein model quality assessment. CoRR (2020)