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Adji Bousso Dieng
Adji Bousso Dieng
Assistant Professor of Computer Science, Princeton University
Bestätigte E-Mail-Adresse bei princeton.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Topic modeling in embedding spaces
AB Dieng, FJR Ruiz, DM Blei
Transactions of the Association for Computational Linguistics 8, 439-453, 2020
7352020
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
3532016
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
2912016
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
2182018
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
1802017
The dynamic embedded topic model
AB Dieng, FJR Ruiz, DM Blei
arXiv preprint arXiv:1907.05545, 2019
1352019
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
1332018
Prescribed generative adversarial networks
AB Dieng, FJR Ruiz, DM Blei, MK Titsias
arXiv preprint arXiv:1910.04302, 2019
692019
Consistency regularization for variational auto-encoders
S Sinha, AB Dieng
Advances in Neural Information Processing Systems 34, 12943-12954, 2021
662021
The vendi score: A diversity evaluation metric for machine learning
D Dan Friedman, AB Dieng
Transactions on machine learning research, 2023
532023
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
282018
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
262023
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
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
82023
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
82023
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