Émile Mathieu
- De novo design of protein structure and function with RFdiffusion
2023/07/11 by Joseph L. Watson, David Juergens, Nathaniel R. Bennett +25 · 2 voices · 158 citations
Biochemistry, Genetics and Molecular Biology · #Bacterial Genetics and Biotechnology #Protein Structure and Dynamics #RNA and protein synthesis mechanisms
- Continuous Hierarchical Representations with Poincar 'e Variational\n Auto-Encoders
2019/01/17 by Émile Mathieu, Mathieu, Emile, Charline Le Lan +7 · 26 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Image Processing and 3D Reconstruction #Computational Physics and Python Applications
- Diffusion Models for Constrained Domains
2023/04/11 by Nic Fishman, Fishman, Nic, Leo Klarner +7 · 14 citations
Engineering · #Reservoir Engineering and Simulation Methods
- SE(3) Equivariant Augmented Coupling Flows
2023/08/20 by Laurence I. Midgley, Midgley, Laurence I., Vincent Stimper +9 · 11 citations
Computer Science · Engineering · #Advanced Mathematical Modeling in Engineering #Computational Physics (physics.comp-ph) #Computer Graphics and Visualization Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Heat and Mass Transfer in Porous Media #Machine Learning (cs.LG)
- On conditional diffusion models for PDE simulations
2024/10/21 by Aliaksandra Shysheya, Shysheya, Aliaksandra, Cristiana Diaconu +11 · 17 citations
Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Gaussian Processes and Bayesian Inference #Machine Learning in Healthcare
- DEFT: Efficient Fine-Tuning of Diffusion Models by Learning the Generalised h-transform
2024/06/03 by Alexander Denker, Denker, Alexander, Francisco Vargas +17 · 13 citations
Computer Science · #FOS: Computer and information sciences #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Neural Networks and Applications
- Metropolis Sampling for Constrained Diffusion Models
2023/07/11 by Nic Fishman, Fishman, Nic, Leo Klarner +7 · 9 citations
Computer Science · Mathematics · #Advanced Mathematical Modeling in Engineering #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Mathematical Biology Tumor Growth
- A framework for conditional diffusion modelling with applications in motif scaffolding for protein design
2023/12/14 by Kieran Didi, Francisco Vargas, Didi, Kieran +11 · 4 citations
Biochemistry, Genetics and Molecular Biology · #Protein Structure and Dynamics #Genomics and Chromatin Dynamics #RNA Research and Splicing
- Learning Instance-Specific Augmentations by Capturing Local Invariances
2022/05/31 by Ning Miao, Tom Rainforth, Miao, Ning +11 · 2 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Multimodal Machine Learning Applications
- Geometric Neural Diffusion Processes
2023/07/11 by Émile Mathieu, Emile Mathieu, Vincent Dutordoir +11 · 1 voice · 1 citation
Computer Science · Mathematics · #Computational Physics and Python Applications #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Morphological variations and asymmetry #cs.LG #stat.ML
- Disentangling Disentanglement in Variational Autoencoders
2018/12/06 by Émile Mathieu, Tom Rainforth, Mathieu, Emile +4 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)