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Tomas Geffner
Tomas Geffner
Research Scientist, NVIDIA
Dirección de correo verificada de nvidia.com - Página principal
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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
852022
Compact policies for fully observable non-deterministic planning as SAT
T Geffner, H Geffner
Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018
52*2018
Width-based planning for general video-game playing
T Geffner, H Geffner
Proceedings of the AAAI Conference on Artificial Intelligence and …, 2015
472015
Using large ensembles of control variates for variational inference
T Geffner, J Domke
Advances in Neural Information Processing Systems 31, 2018
332018
MCMC variational inference via uncorrected Hamiltonian annealing
T Geffner, J Domke
Advances in Neural Information Processing Systems 34, 639-651, 2021
292021
Compositional score modeling for simulation-based inference
T Geffner, G Papamakarios, A Mnih
International Conference on Machine Learning, 11098-11116, 2023
26*2023
On the difficulty of unbiased alpha divergence minimization
T Geffner, J Domke
arXiv preprint arXiv:2010.09541, 2020
212020
Empirical evaluation of biased methods for alpha divergence minimization
T Geffner, J Domke
arXiv preprint arXiv:2105.06587, 2021
132021
Approximation based variance reduction for reparameterization gradients
T Geffner, J Domke
Advances in Neural Information Processing Systems 33, 2397-2407, 2020
112020
Langevin diffusion variational inference
T Geffner, J Domke
International Conference on Artificial Intelligence and Statistics, 576-593, 2023
82023
Dual control variate for faster black-box variational inference
X Wang, T Geffner, J Domke
arXiv preprint arXiv:2210.07290, 2022
8*2022
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
PINDER: The protein interaction dataset and evaluation resource
D Kovtun, M Akdel, A Goncearenco, G Zhou, G Holt, D Baugher, D Lin, ...
bioRxiv, 2024.07. 17.603980, 2024
22024
Aligning target-aware molecule diffusion models with exact energy optimization
S Gu, M Xu, A Powers, W Nie, T Geffner, K Kreis, J Leskovec, A Vahdat, ...
arXiv preprint arXiv:2407.01648, 2024
22024
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
22023
Latentdock: Protein-protein docking with latent diffusion
M McPartlon, C Marquet, T Geffner, D Kovtun, A Goncearenco, ...
MLSB, 2023
12023
Energy-Based Diffusion Language Models for Text Generation
M Xu, T Geffner, K Kreis, W Nie, Y Xu, J Leskovec, S Ermon, A Vahdat
arXiv preprint arXiv:2410.21357, 2024
2024
Truncated Consistency Models
S Lee, Y Xu, T Geffner, G Fanti, K Kreis, A Vahdat, W Nie
arXiv preprint arXiv:2410.14895, 2024
2024
Stochastic Flow Matching for Resolving Small-Scale Physics
S Fotiadis, N Brenowitz, T Geffner, Y Cohen, M Pritchard, A Vahdat, ...
arXiv preprint arXiv:2410.19814, 2024
2024
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
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