Adji Bousso Dieng

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David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerified email at columbia.edu
Francisco J. R. RuizResearch Scientist at DeepmindVerified email at google.com
Dustin TranResearch Scientist, GoogleVerified email at google.com
John PaisleyColumbia UniversityVerified email at columbia.edu
Maja RudolphUW MadisonVerified email at wisc.edu
Rajesh RanganathAssistant Professor, NYUVerified email at cs.princeton.edu
Alp KucukelbirAdjunct Professor of Computer Science, Columbia UniversityVerified email at cs.columbia.edu
Dawen LiangResearch Scientist, Netflix Inc.Verified email at netflix.com
Chong WangAppleVerified email at cs.princeton.edu
Jianfeng GaoMicrosoft Research, RedmondVerified email at microsoft.com
Michalis TitsiasDeepMindVerified email at google.com
Alexander M. RushAssociate Professor, Cornell UniversityVerified email at cornell.edu
Yoon KimAssistant Professor, MITVerified email at mit.edu
Samarth SinhaUniversity of TorontoVerified email at mail.utoronto.ca
Dan FriedmanPrinceton UniversityVerified email at princeton.edu
Frank L. RutaColumbia UniversityVerified email at columbia.edu
Alexander Swinton McLeodUniversity of Minnesota Twin CitiesVerified email at umn.edu
Aaron SternbachAssistant Professor, University of Maryland, College ParkVerified email at umd.edu
dmitri basovColumbia UniversityVerified email at columbia.edu
Barry P. RandElectrical and Computer Engineering & Andlinger Center for Energy and the Environment, PrincetonVerified email at princeton.edu

Adji Bousso Dieng

Assistant Professor of Computer Science, Princeton University

Verified email at princeton.edu - Homepage

Machine Learning Artificial Intelligence Natural Sciences


Title Sort by citations Sort by year Sort by 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	747	2020
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	354	2016
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	292	2016
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	219	2018
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	181	2017
The dynamic embedded topic model AB Dieng, FJR Ruiz, DM Blei arXiv preprint arXiv:1907.05545, 2019	136	2019
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	133	2018
Prescribed generative adversarial networks AB Dieng, FJR Ruiz, DM Blei, MK Titsias arXiv preprint arXiv:1910.04302, 2019	69	2019
Consistency regularization for variational auto-encoders S Sinha, AB Dieng Advances in Neural Information Processing Systems 34, 12943-12954, 2021	67	2021
The vendi score: A diversity evaluation metric for machine learning D Friedman, AB Dieng arXiv preprint arXiv:2210.02410, 2022	56	2022
Augment and Reduce: Stochastic Inference for Large Categorical Distributions FJR Ruiz, MK Titsias, AB Dieng, DM Blei International Conference on Machine Learning, 2018	29	2018
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	28	2018
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	26	2023
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	23	2020
Reweighted Expectation Maximization AB Dieng, J Paisley arXiv preprint arXiv:1906.05850, 2019	19	2019
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	14	2016
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	12	2022
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	10	2016
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	8	2023
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	8	2023

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