| Deep end-to-end causal inference T Geffner, J Antoran, A Foster, W Gong, C Ma, E Kiciman, A Sharma, ... arXiv preprint arXiv:2202.02195, 2022 | 46 | 2022 |
| Width-based planning for general video-game playing T Geffner, H Geffner Proceedings of the AAAI Conference on Artificial Intelligence and …, 2015 | 43 | 2015 |
| Compact policies for fully observable non-deterministic planning as SAT T Geffner, H Geffner Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018 | 41* | 2018 |
| MCMC variational inference via uncorrected Hamiltonian annealing T Geffner, J Domke Advances in Neural Information Processing Systems 34, 639-651, 2021 | 22 | 2021 |
| Using large ensembles of control variates for variational inference T Geffner, J Domke Advances in Neural Information Processing Systems 31, 2018 | 22 | 2018 |
| On the difficulty of unbiased alpha divergence minimization T Geffner, J Domke arXiv preprint arXiv:2010.09541, 2020 | 11 | 2020 |
| Compositional score modeling for simulation-based inference T Geffner, G Papamakarios, A Mnih International Conference on Machine Learning, 11098-11116, 2023 | 10* | 2023 |
| Empirical evaluation of biased methods for alpha divergence minimization T Geffner, J Domke arXiv preprint arXiv:2105.06587, 2021 | 10 | 2021 |
| Approximation based variance reduction for reparameterization gradients T Geffner, J Domke Advances in Neural Information Processing Systems 33, 2397-2407, 2020 | 5 | 2020 |
| A Rule for Gradient Estimator Selection, with an Application to Variational Inference T Geffner, J Domke arXiv preprint arXiv:1911.01894, 2019 | 4 | 2019 |
| Langevin Diffusion Variational Inference T Geffner, J Domke International Conference on Artificial Intelligence and Statistics, 576-593, 2023 | 3 | 2023 |
| Variational inference with locally enhanced bounds for hierarchical models T Geffner, J Domke arXiv preprint arXiv:2203.04432, 2022 | 3 | 2022 |
| Bending and Binding: Predicting Protein Flexibility upon Ligand Interaction using Diffusion Models X Zhang, T Geffner, M McPartlon, M Akdel, D Abramson, G Holt, ... NeurIPS 2023 Generative AI and Biology (GenBio) Workshop, 2023 | | 2023 |
| Estimating the effect of an action using a machine learning model C Zhang, J Antoran, AE Foster, M Defante, S Thomas, T Geffner, ... US Patent App. 17/579,877, 2023 | | 2023 |
| A Dual Control Variate for accelerated black-box variational inference X Wang, T Geffner, J Domke Fifth Symposium on Advances in Approximate Bayesian Inference, 2023 | | 2023 |
| A Dual Control Variate for doubly stochastic optimization and black-box variational inference X Wang, T Geffner, J Domke arXiv preprint arXiv:2210.07290, 2022 | | 2022 |
| FCause: Flow-based Causal Discovery T Geffner, E Kiciman, A Lamb, M Kukla, M Allamanis, C Zhang | | 2021 |
| Automatically Trading off Time and Variance when Selecting Gradient Estimators T Geffner, J Domke | | 2019 |
