Charles Harris

According to our database, Charles Harris authored at least 13 papers between 1991 and 2025.

Collaborative distances:

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

2025

TABASCO: A Fast, Simplified Model for Molecular Generation with Improved Physical Quality.

Carlos Vonessen, Charles Harris, Miruna T. Cretu, Pietro Liò

CoRR, July, 2025

RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design.

Rishabh Anand, Chaitanya K. Joshi, Alex Morehead, Arian Rokkum Jamasb, Charles Harris, Simon V. Mathis, Kieran Didi, Rex Ying, Bryan Hooi, Pietro Lio

Trans. Mach. Learn. Res., 2025

gRNAde: Geometric Deep Learning for 3D RNA inverse design.

Chaitanya K. Joshi, Arian Rokkum Jamasb, Ramón Viñas Torné, Charles Harris, Simon V. Mathis, Alex Morehead, Rishabh Anand, Pietro Lio

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints.

Miruna T. Cretu, Charles Harris, Ilia Igashov, Arne Schneuing, Marwin H. S. Segler, Bruno E. Correia, Julien Roy, Emmanuel Bengio, Pietro Lio

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Structure-based drug design with equivariant diffusion models.

Arne Schneuing, Charles Harris, Yuanqi Du, Kieran Didi, Arian Rokkum Jamasb, Ilia Igashov, Weitao Du, Carla P. Gomes, Tom L. Blundell, Pietro Lio, Max Welling, Michael M. Bronstein, Bruno E. Correia

Nat. Comput. Sci., December, 2024

Machine learning-aided generative molecular design.

Yuanqi Du, Arian R. Jamasb, Jeff Guo, Tianfan Fu, Charles Harris, Yingheng Wang, Chenru Duan, Pietro Liò, Philippe Schwaller, Tom L. Blundell

Nat. Mac. Intell., 2024

RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design.

Rishabh Anand, Chaitanya K. Joshi, Alex Morehead, Arian R. Jamasb, Charles Harris, Simon V. Mathis, Kieran Didi, Bryan Hooi, Pietro Liò

CoRR, 2024

SynFlowNet: Towards Molecule Design with Guaranteed Synthesis Pathways.

Miruna T. Cretu, Charles Harris, Julien Roy, Emmanuel Bengio, Pietro Liò

CoRR, 2024

Evaluating Representation Learning on the Protein Structure Universe.

Arian Rokkum Jamasb, Alex Morehead, Chaitanya K. Joshi, Zuobai Zhang, Kieran Didi, Simon V. Mathis, Charles Harris, Jian Tang, Jianlin Cheng, Pietro Lio, Tom L. Blundell

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Multi-State RNA Design with Geometric Multi-Graph Neural Networks.

Chaitanya K. Joshi, Arian R. Jamasb, Ramón Viñas, Charles Harris, Simon V. Mathis, Pietro Liò

CoRR, 2023

2022

Structure-based Drug Design with Equivariant Diffusion Models.

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

CoRR, 2022

Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks.

Arian R. Jamasb, Ramón Viñas Torné, Eric Ma, Yuanqi Du, Charles Harris, Kexin Huang, Dominic Hall, Pietro Lió, Tom L. Blundell

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

1991

Evaluating Impacts of Cache Hits on I/O Subsystem Performance.

Anil K. Sahai, Charles Harris

Proceedings of the 17th International Computer Measurement Group Conference, 1991