Ryan P Adams
12 papers · 2019–2026 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21) 🌍 Conference Polyglot · Bronze 🗃️ Keyword Collector (57)
🔥
Unstoppable · Bronze
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Deep Learning
(9)
Machine Learning
(7)
Architectures
(5)
Optimization & Theory
(5)
Models
(4)
Artificial Intelligence
(3)
Application Areas
(2)
Core AI
(2)
Mathematics & Optimization
(1)
Robotics
(1)
Capabilities
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Optimization
(1)
Keywords
variational inference
(3)
neural network
(2)
graph neural network
(2)
differentiable simulator
(2)
automatic differentiation
(2)
multi-agent system
(2)
recurrent neural network
(1)
latent variable model
(1)
gradient estimation
(1)
generative model
(1)
consensus optimization
(1)
inverse problem
(1)
generative marginalization
(1)
memory efficiency
(1)
gradient estimator
(1)
geometric structure
(1)
neural network solver
(1)
shape optimization
(1)
conditional synthesis
(1)
node embedding
(1)
Papers
Consensus Optimization Graph Neural Networks
UAI 2026
Designing Mechanical Meta-Materials by Learning Equivariant Flows
ICLR 2025
Diagonal Symmetrization of Neural Network Solvers for the Many-Electron Schrödinger Equation
ICML 2025
Efficiently Vectorized MCMC on Modern Accelerators
ICML 2025
Graph Neural Networks Gone Hogwild
ICLR 2025
Real-time design of architectural structures with differentiable mechanics and neural networks
ICLR 2025
Fiber Monte Carlo
ICLR 2024
Generative Marginalization Models
ICML 2024
Neuromechanical Autoencoders: Learning to Couple Elastic and Neural Network Nonlinearity
ICLR 2023
Vitruvion: A Generative Model of Parametric CAD Sketches
ICLR 2022
Randomized Automatic Differentiation
ICLR 2021
Efficient optimization of loops and limits with randomized telescoping sums
ICML 2019