Adam S. Foster

1. DScribe: Library of descriptors for machine learning in materials science
   2019/09/26 by Lauri Himanen, Marc O. J. Jäger, Marc O.J. Jäger +7 · 64 citations
   Materials Science · Computer Science · #Machine Learning in Materials Science #Computational Drug Discovery Methods #X-ray Diffraction in Crystallography
2. Modern Bayesian Experimental Design
   2023/02/28 by Tom Rainforth, Adam S. Foster, Rainforth, Tom +5 · 34 citations
   Decision Sciences · Computer Science · #Optimal Experimental Design Methods #Advanced Multi-Objective Optimization Algorithms #Gaussian Processes and Bayesian Inference
3. Deep End-to-end Causal Inference
   2022/02/04 by Tomas Geffner, Javier Antorán, Geffner, Tomas +21 · 7 citations
   Computer Science · Mathematics · #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Rethinking Aleatoric and Epistemic Uncertainty
   2024/12/30 by Freddie Bickford Smith, Jannik Kossen, Smith, Freddie Bickford +9 · 13 citations
   Arts and Humanities · #Epistemology, Ethics, and Metaphysics #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods
   2021/11/03 by Desi R. Ivanova, Adam S. Foster, Ivanova, Desi R. +8 · 6 citations
   Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimal Experimental Design Methods #Probabilistic and Robust Engineering Design
6. CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design
   2023/02/27 by Desi R. Ivanova, Joel Jennings, Ivanova, Desi R. +7 · 2 citations
   Computer Science · #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification