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Adji Bousso Dieng
Adji Bousso Dieng
Assistant Professor of Computer Science, Princeton University
Verified email at princeton.edu - Homepage
Title
Cited by
Cited by
Year
Topic modeling in embedding spaces
AB Dieng, FJR Ruiz, DM Blei
Transactions of the Association for Computational Linguistics 8, 439-453, 2020
8252020
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
3602016
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
3012016
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
2232018
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
1862017
The dynamic embedded topic model
AB Dieng, FJR Ruiz, DM Blei
arXiv preprint arXiv:1907.05545, 2019
1452019
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
1382018
The vendi score: A diversity evaluation metric for machine learning
D Friedman, AB Dieng
arXiv preprint arXiv:2210.02410, 2022
852022
Consistency regularization for variational auto-encoders
S Sinha, AB Dieng
Advances in Neural Information Processing Systems 34, 12943-12954, 2021
732021
Prescribed generative adversarial networks
AB Dieng, FJR Ruiz, DM Blei, MK Titsias
arXiv preprint arXiv:1910.04302, 2019
712019
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
332023
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
312018
Augment and Reduce: Stochastic Inference for Large Categorical Distributions
FJR Ruiz, MK Titsias, AB Dieng, DM Blei
International Conference on Machine Learning, 2018
292018
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
262020
Reweighted Expectation Maximization
AB Dieng, J Paisley
arXiv preprint arXiv:1906.05850, 2019
202019
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
152022
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
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning
A Pasarkar, AB Dieng
International Conference on Artificial Intelligence and Statistics 238 (27 …, 2024
132024
Efficient and guaranteed-safe non-convex trajectory optimization with constrained diffusion model
A Li, Z Ding, A Bousso Dieng, R Beeson
arXiv e-prints, arXiv: 2403.05571, 2024
102024
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
102023
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