Ryan P. Adams
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
40
Venues
9
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
40 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Designing Mechanical Meta-Materials by Learning Equivariant Flows. | Mehran Mirramezani, Anne S. Meeussen, Katia Bertoldi, Peter Orbanz, Ryan P. Adams |
| 2025 | ICLR | Real-time design of architectural structures with differentiable mechanics and neural networks. | Rafael Pastrana, Eder Medina, Isabel M. de Oliveira, Sigrid Adriaenssens, Ryan P. Adams |
| 2025 | ICLR | Graph Neural Networks Gone Hogwild. | Olga Solodova, Nick Richardson, Deniz Oktay, Ryan P. Adams |
| 2025 | ICML | Efficiently Vectorized MCMC on Modern Accelerators. | Hugh Dance, Pierre Glaser, Peter Orbanz, Ryan P. Adams |
| 2025 | ICML | Diagonal Symmetrization of Neural Network Solvers for the Many-Electron Schrdinger Equation. | Kevin Han Huang, Ni Zhan, Elif Ertekin, Peter Orbanz, Ryan P. Adams |
| 2024 | ICLR | Fiber Monte Carlo. | Nick Richardson, Deniz Oktay, Yaniv Ovadia, James C. Bowden, Ryan P. Adams |
| 2024 | ICML | Generative Marginalization Models. | Sulin Liu, Peter J. Ramadge, Ryan P. Adams |
| 2023 | ICLR | Neuromechanical Autoencoders: Learning to Couple Elastic and Neural Network Nonlinearity. | Deniz Oktay, Mehran Mirramezani, Eder Medina, Ryan P. Adams |
| 2022 | ICLR | Vitruvion: A Generative Model of Parametric CAD Sketches. | Ari Seff, Wenda Zhou, Nick Richardson, Ryan P. Adams |
| 2021 | ICLR | Randomized Automatic Differentiation. | Deniz Oktay, Nick McGreivy, Joshua Aduol, Alex Beatson, Ryan P. Adams |
| 2021 | UAI | Active multi-fidelity Bayesian online changepoint detection. | Gregory W. Gundersen, Diana Cai, Chuteng Zhou, Barbara E. Engelhardt, Ryan P. Adams |
| 2020 | ICLR | SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models. | Yucen Luo, Alex Beatson, Mohammad Norouzi, Jun Zhu, David Duvenaud, Ryan P. Adams, Ricky T. Q. Chen |
| 2020 | ICML | Amortized Finite Element Analysis for Fast PDE-Constrained Optimization. | Tianju Xue, Alex Beatson, Sigrid Adriaenssens, Ryan P. Adams |
| 2019 | ICLR | Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach. | Wenda Zhou, Victor Veitch, Morgane Austern, Ryan P. Adams, Peter Orbanz |
| 2019 | ICML | Efficient optimization of loops and limits with randomized telescoping sums. | Alex Beatson, Ryan P. Adams |
| 2018 | AISTATS | Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models. | Ardavan Saeedi, Matthew D. Hoffman, Stephen J. DiVerdi, Asma Ghandeharioun, Matthew J. Johnson, Ryan P. Adams |
| 2017 | AISTATS | Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems. | Scott W. Linderman, Matthew J. Johnson, Andrew C. Miller, Ryan P. Adams, David M. Blei, Liam Paninski |
| 2017 | ICML | Variational Boosting: Iteratively Refining Posterior Approximations. | Andrew C. Miller, Nicholas J. Foti, Ryan P. Adams |
| 2016 | AISTATS | Early Stopping as Nonparametric Variational Inference. | David Duvenaud, Dougal Maclaurin, Ryan P. Adams |
| 2016 | ICML | Predictive Entropy Search for Multi-objective Bayesian Optimization. | Daniel Hernndez-Lobato, Jos Miguel Hernndez-Lobato, Amar Shah, Ryan P. Adams |
| 2016 | ICML | The Segmented iHMM: A Simple, Efficient Hierarchical Infinite HMM. | Ardavan Saeedi, Matthew D. Hoffman, Matthew J. Johnson, Ryan P. Adams |
| 2016 | ICRA | Variability and predictability in tactile sensing during grasping. | Qian Wan, Ryan P. Adams, Robert D. Howe |
| 2015 | AAAI | Graph-Sparse LDA: A Topic Model with Structured Sparsity. | Finale Doshi-Velez, Byron C. Wallace, Ryan P. Adams |
| 2015 | ICML | Predictive Entropy Search for Bayesian Optimization with Unknown Constraints. | Jos Miguel Hernndez-Lobato, Michael A. Gelbart, Matthew W. Hoffman, Ryan P. Adams, Zoubin Ghahramani |
| 2015 | ICML | Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks. | Jos Miguel Hernndez-Lobato, Ryan P. Adams |
| 2015 | ICML | Gradient-based Hyperparameter Optimization through Reversible Learning. | Dougal Maclaurin, David Duvenaud, Ryan P. Adams |
| 2015 | ICML | Celeste: Variational inference for a generative model of astronomical images. | Jeffrey Regier, Andrew C. Miller, Jon McAuliffe, Ryan P. Adams, Matthew D. Hoffman, Dustin Lang, David Schlegel, Prabhat |
| 2015 | ICML | Scalable Bayesian Optimization Using Deep Neural Networks. | Jasper Snoek, Oren Rippel, Kevin Swersky, Ryan Kiros, Nadathur Satish, Narayanan Sundaram, Md. Mostofa Ali Patwary, Prabhat, Ryan P. Adams |
| 2014 | AISTATS | Avoiding pathologies in very deep networks. | David Duvenaud, Oren Rippel, Ryan P. Adams, Zoubin Ghahramani |
| 2014 | ASPLOS | ASC: automatically scalable computation. | Amos Waterland, Elaine Angelino, Ryan P. Adams, Jonathan Appavoo, Margo I. Seltzer |
| 2014 | ICML | Learning the Parameters of Determinantal Point Process Kernels. | Raja Hafiz Affandi, Emily B. Fox, Ryan P. Adams, Benjamin Taskar |
| 2014 | ICML | Discovering Latent Network Structure in Point Process Data. | Scott W. Linderman, Ryan P. Adams |
| 2014 | ICML | Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball. | Andrew C. Miller, Luke Bornn, Ryan P. Adams, Kirk Goldsberry |
| 2014 | ICML | Learning Ordered Representations with Nested Dropout. | Oren Rippel, Michael A. Gelbart, Ryan P. Adams |
| 2014 | ICML | Input Warping for Bayesian Optimization of Non-Stationary Functions. | Jasper Snoek, Kevin Swersky, Richard S. Zemel, Ryan P. Adams |
| 2014 | UAI | Accelerating MCMC via Parallel Predictive Prefetching. | Elaine Angelino, Eddie Kohler, Amos Waterland, Margo I. Seltzer, Ryan P. Adams |
| 2014 | UAI | Bayesian Optimization with Unknown Constraints. | Michael A. Gelbart, Jasper Snoek, Ryan P. Adams |
| 2014 | UAI | Firefly Monte Carlo: Exact MCMC with Subsets of Data. | Dougal Maclaurin, Ryan P. Adams |
| 2013 | IJCAI | Bootstrap Learning via Modular Concept Discovery. | Eyal Dechter, Jonathan Malmaud, Ryan P. Adams, Joshua B. Tenenbaum |
| 2013 | SYSTOR | Computational caches. | Amos Waterland, Elaine Angelino, Ekin D. Cubuk, Efthimios Kaxiras, Ryan P. Adams, Jonathan Appavoo, Margo I. Seltzer |