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Adji Bousso Dieng
Adji Bousso Dieng
Assistant Professor of Computer Science, Princeton University
Adresă de e-mail confirmată pe princeton.edu - Pagina de pornire
Titlu
Citat de
Citat de
Anul
Topic modeling in embedding spaces
AB Dieng, FJR Ruiz, DM Blei
Transactions of the Association for Computational Linguistics 8, 439-453, 2020
6552020
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
3522016
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
2772016
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
2192018
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
1792017
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
1302018
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
652019
Consistency regularization for variational auto-encoders
S Sinha, AB Dieng
Advances in Neural Information Processing Systems 34, 12943-12954, 2021
602021
The vendi score: A diversity evaluation metric for machine learning
D Dan Friedman, AB Dieng
Transactions on machine learning research, 2023
392023
Augment and Reduce: Stochastic Inference for Large Categorical Distributions
FJR Ruiz, MK Titsias, AB Dieng, DM Blei
International Conference on Machine Learning, 2018
302018
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
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
252020
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
152016
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
132023
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
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
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
62023
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