Publications

2024

Property-Guided Generation of Complex Polymer Topologies Using Variational Autoencoders

Shengli Jiang, Adji Bousso Dieng*, Michael Webb*

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Efficient and Guaranteed-Safe Non-Convex Trajectory Optimization with Constrained Diffusion Model

Anjian Li, Zihan Ding, Adji Bousso Dieng, Ryne Beeson

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Quality-Weighted Vendi Scores And Their Application To Diverse Experimental Design

Quan Nguyen, Adji Bousso Dieng

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Diversity-driven, efficient exploration of a MOF design space to optimize MOF properties: application to NH3 adsorption

Tsung-Wei Liu^, Quan Nguyen^, Adji Bousso Dieng*, Diego Gomez-Gualdron*

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2023

Vendi sampling for molecular simulations: Diversity as a force for faster convergence and better exploration

Amey P. Pasarkar, Gianluca M. Bencomo, Simon Olsson, Adji Bousso Dieng

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Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning

Amey P. Pasarkar, Adji Bousso Dieng

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LLM-Prop: Predicting physical and electronic properties of crystalline solids from their text descriptions

Andre Niyongabo Rubungo, Craig Arnold, Barry P. Rand, Adji Bousso Dieng

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2022

The Vendi Score: A Diversity Evaluation Metric for Machine Learning

Dan Friedman, Adji Bousso Dieng

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Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients

Kyurae Kim, Jisu Oh, Jacob R. Gardner, Adji Bousso Dieng, Hongseok Kim

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Consistency Regularization for Variational Auto-Encoders

Samarth Sinha, Adji Bousso Dieng

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2020

Deep Probabilistic Graphical Modeling

Adji Bousso Dieng

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2019

The Dynamic Embedded Topic Model

Adji Bousso Dieng*, Francisco R. J. Ruiz*, David M. Blei

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Prescribed Generative Adversarial Networks

Adji Bousso Dieng, Francisco J. R. Ruiz, David M. Blei, Michalis K. Titsias

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Reweighted Expectation Maximization

Adji Bousso Dieng, John Paisley

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Topic Modeling in Embedding Spaces

Adji Bousso Dieng, Francisco J. R. Ruiz, David M. Blei

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Avoiding Latent Variable Collapse With Generative Skip Models

Adji Bousso Dieng, Yoon Kim, Alexander M. Rush, David M. Blei

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2018

Quantitative Nanoinfrared Spectroscopy of Anisotropic van der Waals Materials

Francesco L. Ruta*, Aaron J. Sternbach, Adji Bousso Dieng, Alexander S. McLeod, and D. N. Basov

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Noisin: Unbiased Regularization for Recurrent Neural Networks

Adji Bousso Dieng, Rajesh Ranganath, Jaan Altosaar, David M. Blei

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Augment and Reduce: Stochastic Inference for Large Categorical Distributions

Francisco J. R. Ruiz, Michalis K. Titsias, Adji Bousso Dieng, David M. Blei

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Readmission prediction via deep contextual embedding of clinical concepts

Cao Xiao, Tengfei Ma, Adji Bousso Dieng, David M. Blei, Fei Wang

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2017

Variational Inference via χ-Upper Bound Minimization

Adji Bousso Dieng, Dustin Tran, Rajesh Ranganath, John Paisley, David M. Blei

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TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency

Adji Bousso Dieng, Chong Wang, Jianfeng Gao, John Paisley

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Edward: A library for probabilistic modeling, inference, and criticism

Dustin Tran, Alp Kucukelbir, Adji Bousso Dieng, Maja Rudolph, Dawen Liang, David M. Blei

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Department of Computer Science, Princeton University, 35 Olden Street, Princeton, NJ 08544

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