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Tomas Geffner
Tomas Geffner
Research Scientist, NVIDIA
Verified email at nvidia.com - Homepage
Title
Cited by
Cited by
Year
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
542022
Compact policies for fully observable non-deterministic planning as SAT
T Geffner, H Geffner
Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018
43*2018
Width-based planning for general video-game playing
T Geffner, H Geffner
Proceedings of the AAAI Conference on Artificial Intelligence and …, 2015
432015
MCMC variational inference via uncorrected Hamiltonian annealing
T Geffner, J Domke
Advances in Neural Information Processing Systems 34, 639-651, 2021
262021
Using large ensembles of control variates for variational inference
T Geffner, J Domke
Advances in Neural Information Processing Systems 31, 2018
242018
On the difficulty of unbiased alpha divergence minimization
T Geffner, J Domke
arXiv preprint arXiv:2010.09541, 2020
142020
Compositional Score Modeling for Simulation-Based Inference
T Geffner, G Papamakarios, A Mnih
11*2023
Empirical evaluation of biased methods for alpha divergence minimization
T Geffner, J Domke
arXiv preprint arXiv:2105.06587, 2021
102021
Langevin Diffusion Variational Inference
T Geffner, J Domke
International Conference on Artificial Intelligence and Statistics, 576-593, 2023
62023
Approximation based variance reduction for reparameterization gradients
T Geffner, J Domke
Advances in Neural Information Processing Systems 33, 2397-2407, 2020
62020
A Rule for Gradient Estimator Selection, with an Application to Variational Inference
T Geffner, J Domke
arXiv preprint arXiv:1911.01894, 2019
42019
Variational inference with locally enhanced bounds for hierarchical models
T Geffner, J Domke
arXiv preprint arXiv:2203.04432, 2022
32022
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
12023
Dual control variate for faster black-box variational inference
X Wang, T Geffner, J Domke
2023
Bridging Sequence and Structure: Latent Diffusion for Conditional Protein Generation
M McPartlon, C Marquet, T Geffner, D Kovtun, A Goncearenco, ...
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
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