Ryan P. Adams

Princeton University — United States

Computer Science · Physical Sciences

55h-index28.6kcitations212works3.92yr avg
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Research Topics

Gaussian Processes and Bayesian Inference(59), Bayesian Methods and Mixture Models(29), Machine Learning and Algorithms(26), Advanced Multi-Objective Optimization Algorithms(16), Machine Learning in Materials Science(15)

Publications211 total

A Single Architecture for Representing Invariance Under Any Space Group
arXiv (Cornell University)·2025Open Access
Measuring Cooperation with Counterfactual Planning
Lecture notes in computer science·2025
Expressivity of Determinantal Ansatzes for Neural Network Wave Functions
Journal of Chemical Theory and Computation·2025Open Access
Local Learning Rules for Out-of-Equilibrium Physical Generative Models
arXiv (Cornell University)·2025· 1 citedOpen Access
Space Group Equivariant Crystal Diffusion
arXiv (Cornell University)·2025Open Access
Efficiently Vectorized MCMC on Modern Accelerators
arXiv (Cornell University)·2025Open Access
Revealing the proton slingshot mechanism in solid acid electrolytes through machine learning molecular dynamics
arXiv (Cornell University)·2025· 1 citedOpen Access
Diagonal Symmetrization of Neural Network Solvers for the Many-Electron Schrödinger Equation
arXiv (Cornell University)·2025Open Access
Designing Mechanical Meta-Materials by Learning Equivariant Flows
arXiv (Cornell University)·2024· 1 citedOpen Access
Automated discovery of reprogrammable nonlinear dynamic metamaterials
Nature Materials·2024· 52 cited
Real-time design of architectural structures with differentiable mechanics and neural networks
arXiv (Cornell University)·2024Open Access
National Security Programs - Cyber: MMAREJBLIGE – Modular Multi Agent Grid Emulation for Joined Breakdowns in Linked Generative Emulations - 23-0644
2024Open Access
Graph Neural Networks Gone Hogwild
arXiv (Cornell University)·2024Open Access
Automated discovery of reprogrammable nonlinear dynamic metamaterials
arXiv (Cornell University)·2024· 1 citedOpen Access
Probabilistic Prediction of Material Stability: Integrating Convex Hulls into Active Learning
arXiv (Cornell University)·2024· 1 citedOpen Access
A rapid and automated computational approach to the design of multistable soft actuators
Computer Physics Communications·2024· 2 cited
Probabilistic prediction of material stability: integrating convex hulls into active learning
Materials Horizons·2024· 8 citedOpen Access
Generative Marginalization Models
arXiv (Cornell University)·2023Open Access
Gradient-Based Dovetail Joint Shape Optimization for Stiffness
2023· 1 citedOpen Access
More Stiffness with Less Fiber: End-to-End Fiber Path Optimization for 3D-Printed Composites
2023· 9 citedOpen Access
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Frequent Co-authors

Jasper Snoek(9), David Duvenaud(8), Iain Murray(7), Kevin Swersky(6), José Miguel Hernández-Lobato(5), Dougal Maclaurin(4), David Mackay(4), Oren Rippel(4), Zoubin Ghahramani(4), Rafael Gómez‐Bombarelli(3), Jorge Aguilera‐Iparraguirre(3), Timothy Hirzel(3), Alán Aspuru‐Guzik(3), Alexander B. Wiltschko(3), Sandeep Robert Datta(3), Michael A. Gelbart(3), Matthew Johnson(3), Andrew C. Miller(3), Hugo Larochelle(2), Jennifer N. Wei(2)