Siamak Ravanbakhsh
- Equivariance with Learned Canonicalization Functions
2022/11/11 by Sékou-Oumar Kaba, Arnab Kumar Mondal, Kaba, Sékou-Oumar +7 · 18 citations
Materials Science · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Morphological variations and asymmetry
- Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
2024/02/09 by Tara Akhound-Sadegh, Akhound-Sadegh, Tara, Jarrid Rector-Brooks +21 · 19 citations
Computer Science · Materials Science · #Electron and X-Ray Spectroscopy Techniques #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science
- On Diffusion Modeling for Anomaly Detection
2023/05/29 by Victor Livernoche, Livernoche, Victor, Vineet Jain +5 · 12 citations
Mathematics · Physics and Astronomy · #Artificial Intelligence (cs.AI) #COVID-19 epidemiological studies #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Opinion Dynamics and Social Influence
- Deep Models of Interactions Across Sets
2018/03/07 by Jason Hartford, Hartford, Jason, Devon R. Graham +5 · 9 citations
Computer Science · #Topic Modeling #Advanced Graph Neural Networks #Machine Learning in Healthcare
- Universal Equivariant Multilayer Perceptrons
2020/02/07 by Siamak Ravanbakhsh, Ravanbakhsh, Siamak · 6 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #FOS: Mathematics #Group Theory (math.GR) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Topological and Geometric Data Analysis
- SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models
2025/02/05 by Daniel Lévy, Levy, Daniel, Siba Smarak Panigrahi +13 · 19 citations
Materials Science · #Crystallization and Solubility Studies #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci)
- Lie Point Symmetry and Physics Informed Networks
2023/11/07 by Tara Akhound-Sadegh, Laurence Perreault-Levasseur, Akhound-Sadegh, Tara +7 · 8 citations
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks
- Symmetry Breaking and Equivariant Neural Networks
2023/12/14 by Sékou-Oumar Kaba, Kaba, Sékou-Oumar, Siamak Ravanbakhsh +1 · 4 citations
Computer Science · Materials Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Neural Networks and Applications
- Deep Learning with Sets and Point Clouds
2016/11/14 by Siamak Ravanbakhsh, Jeff Schneider, Ravanbakhsh, Siamak +3 · 3 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
- Using Multiple Vector Channels Improves E(n)-Equivariant Graph Neural Networks
2023/09/06 by Daniel Lévy, Levy, Daniel, Sékou-Oumar Kaba +7 · 3 citations
Computer Science · Materials Science · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Topic Modeling
- Equivariant Networks for Crystal Structures
2022/11/15 by Sékou-Oumar Kaba, Kaba, Sékou-Oumar, Siamak Ravanbakhsh +1 · 2 citations
Computer Science · Materials Science · #Advanced Graph Neural Networks #Computational Drug Discovery Methods #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci)
- E(3)-Equivariant Mesh Neural Networks
2024/02/07 by Thuan Trang, Trang, Thuan, Nhat Khang Ngo +9 · 2 citations
Computer Science · #Neural Networks and Applications
- Sampling from Energy-based Policies using Diffusion
2024/10/02 by Vineet Jain, Tara Akhound-Sadegh, Jain, Vineet +3 · 2 citations
Economics, Econometrics and Finance · Environmental Science · #Energy, Environment, Economic Growth #Environmental Impact and Sustainability #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Learning to Reach Goals via Diffusion
2023/10/04 by Vineet Jain, Siamak Ravanbakhsh, Jain, Vineet +1 · 1 citation
Computer Science · Physics and Astronomy · #Reinforcement Learning in Robotics #Model Reduction and Neural Networks