Seuraa
Adji Bousso Dieng
Adji Bousso Dieng
Assistant Professor of Computer Science, Princeton University
Vahvistettu sähköpostiosoite verkkotunnuksessa princeton.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Topic modeling in embedding spaces
AB Dieng, FJR Ruiz, DM Blei
Transactions of the Association for Computational Linguistics 8, 439-453, 2020
6712020
Edward: A library for probabilistic modeling, inference, and criticism
D Tran, A Kucukelbir, AB Dieng, M Rudolph, D Liang, DM Blei
arXiv preprint arXiv:1610.09787, 2016
3512016
Topicrnn: A recurrent neural network with long-range semantic dependency
AB Dieng, C Wang, J Gao, J Paisley
International Conference on Learning Representations (ICLR 2017), 2016
2842016
Avoiding Latent Variable Collapse with Generative Skip Models
AB Dieng, Y Kim, AM Rush, D Blei
Proceedings of the 22 International Conference on Artificial Intelligence …, 2018
2172018
Variational Inference via Upper Bound Minimization
AB Dieng, D Tran, R Ranganath, J Paisley, D Blei
Advances in Neural Information Processing Systems, 2732-2741, 2017
1772017
Readmission prediction via deep contextual embedding of clinical concepts
C Xiao, T Ma, AB Dieng, DM Blei, F Wang
PloS one 13 (4), e0195024, 2018
1292018
The dynamic embedded topic model
AB Dieng, FJR Ruiz, DM Blei
arXiv preprint arXiv:1907.05545, 2019
1272019
Prescribed generative adversarial networks
AB Dieng, FJR Ruiz, DM Blei, MK Titsias
arXiv preprint arXiv:1910.04302, 2019
672019
Consistency regularization for variational auto-encoders
S Sinha, AB Dieng
Advances in Neural Information Processing Systems 34, 12943-12954, 2021
632021
The vendi score: A diversity evaluation metric for machine learning
D Dan Friedman, AB Dieng
Transactions on machine learning research, 2023
422023
Augment and Reduce: Stochastic Inference for Large Categorical Distributions
FJR Ruiz, MK Titsias, AB Dieng, DM Blei
International Conference on Machine Learning, 2018
292018
Noisin: Unbiased Regularization for Recurrent Neural Networks
AB Dieng, R Ranganath, J Altosaar, DM Blei
Proceedings of the 35th International Conference on Machine Learning (ICML …, 2018
272018
Quantitative nanoinfrared spectroscopy of anisotropic van der Waals materials
FL Ruta, AJ Sternbach, AB Dieng, AS McLeod, DN Basov
Nano letters 20 (11), 7933-7940, 2020
232020
Reweighted Expectation Maximization
AB Dieng, J Paisley
arXiv preprint arXiv:1906.05850, 2019
192019
Llm-prop: Predicting physical and electronic properties of crystalline solids from their text descriptions
AN Rubungo, C Arnold, BP Rand, AB Dieng
arXiv preprint arXiv:2310.14029, 2023
142023
Edward: A library for probabilistic modeling, inference, and criticism, 2016
D Tran, A Kucukelbir, AB Dieng, M Rudolph, D Liang, DM Blei
arXiv preprint arXiv:1610.09787, 2016
142016
Markov chain score ascent: A unifying framework of variational inference with markovian gradients
K Kim, J Oh, J Gardner, AB Dieng, H Kim
Advances in Neural Information Processing Systems 35, 34802-34816, 2022
112022
Edward: A library for probabilistic modeling, inference, and criticism. arXiv 2016
D Tran, A Kucukelbir, AB Dieng, M Rudolph, D Liang, DM Blei
arXiv preprint arXiv:1610.09787, 2016
102016
DMLR: Data-centric Machine Learning Research--Past, Present and Future
L Oala, M Maskey, L Bat-Leah, A Parrish, NM Gürel, TS Kuo, Y Liu, R Dror, ...
arXiv preprint arXiv:2311.13028, 2023
72023
Vendi sampling for molecular simulations: Diversity as a force for faster convergence and better exploration
AP Pasarkar, GM Bencomo, S Olsson, AB Dieng
The Journal of chemical physics 159 (14), 2023
72023
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Artikkelit 1–20