Didi, Kieran

14 publications

ICML 2025 Compositional Flows for 3D Molecule and Synthesis Pathway Co-Design Tony Shen, Seonghwan Seo, Ross Irwin, Kieran Didi, Simon Olsson, Woo Youn Kim, Martin Ester

ICLRW 2025 Compositional Flows for 3D Molecule and Synthesis Pathway Co-Design Tony Shen, Seonghwan Seo, Ross Irwin, Kieran Didi, Simon Olsson, Woo Youn Kim, Martin Ester

ICLR 2025 Proteina: Scaling Flow-Based Protein Structure Generative Models Tomas Geffner, Kieran Didi, Zuobai Zhang, Danny Reidenbach, Zhonglin Cao, Jason Yim, Mario Geiger, Christian Dallago, Emine Kucukbenli, Arash Vahdat, Karsten Kreis

TMLR 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

NeurIPS 2024 DEFT: Efficient Fine-Tuning of Diffusion Models by Learning the Generalised $h$-Transform Alexander Denker, Francisco Vargas, Shreyas Padhy, Kieran Didi, Simon Mathis, Vincent Dutordoir, Riccardo Barbano, Emile Mathieu, Urszula Julia Komorowska, Pietro Lio

ICLR 2024 Dynamics-Informed Protein Design with Structure Conditioning Urszula Julia Komorowska, Simon V Mathis, Kieran Didi, Francisco Vargas, Pietro Lio, Mateja Jamnik

ICLR 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 Leon Blundell

ICMLW 2024 RNA-FrameFlow for De Novo 3D RNA Backbone Design Rishabh Anand, Chaitanya K. Joshi, Alex Morehead, Arian Rokkum Jamasb, Charles Harris, Simon V Mathis, Kieran Didi, Bryan Hooi, Pietro Lio

ICMLW 2024 RNA-FrameFlow for De Novo 3D RNA Backbone Design Rishabh Anand, Chaitanya K. Joshi, Alex Morehead, Arian Rokkum Jamasb, Charles Harris, Simon V Mathis, Kieran Didi, Bryan Hooi, Pietro Lio

NeurIPSW 2023 A Framework for Conditional Diffusion Modelling with Applications in Motif Scaffolding for Protein Design Kieran Didi, Francisco Vargas, Simon Mathis, Vincent Dutordoir, Emile Mathieu, Urszula Julia Komorowska, Pietro Lio

ICLRW 2023 Flexible Small-Molecule Design and Optimization with Equivariant Diffusion Models Charles Harris, Kieran Didi, Arne Schneuing, Yuanqi Du, Arian Rokkum Jamasb, Michael M. Bronstein, Bruno Correia, Pietro Lio, Tom Leon Blundell

NeurIPSW 2023 Modelling Biology in Novel Ways - An AI-First Course in Structural Bioinformatics Kieran Didi, Charles Harris, Pietro Lio, Rainer Beck

NeurIPSW 2023 PoseCheck: Generative Models for 3D Structure-Based Drug Design Produce Unrealistic Poses Charles Harris, Kieran Didi, Arian Jamasb, Chaitanya Joshi, Simon Mathis, Pietro Lio, Tom Blundell

NeurIPSW 2023 PoseCheck: Generative Models for 3D Structure-Based Drug Design Produce Unrealistic Poses Charles Harris, Kieran Didi, Arian Jamasb, Chaitanya Joshi, Simon Mathis, Pietro Lio, Tom Blundell