Dieng, Adji Bousso

14 publications

TMLR 2025 Alternators for Sequence Modeling Mohammad Reza Rezaei, Adji Bousso Dieng

AISTATS 2025 Behavior-Inspired Neural Networks for Relational Inference Yulong Yang, Bowen Feng, Keqin Wang, Naomi Leonard, Adji Bousso Dieng, Christine Allen-Blanchette

L4DC 2025 DiffuSolve: Diffusion-Based Solver for Non-Convex Trajectory Optimization Anjian Li, Zihan Ding, Adji Bousso Dieng, Ryne Beeson

NeurIPS 2024 Beyond Aesthetics: Cultural Competence in Text-to-Image Models Nithish Kannen, Arif Ahmad, Marco Andreetto, Vinodkumar Prabhakaran, Utsav Prabhu, Adji Bousso Dieng, Pushpak Bhattacharyya, Shachi Dave

AISTATS 2024 Cousins of the Vendi Score: A Family of Similarity-Based Diversity Metrics for Science and Machine Learning Amey P. Pasarkar, Adji Bousso Dieng

DMLR 2024 DMLR: Data-Centric Machine Learning Research - Past, Present and Future Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William A Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlaš, Ahmed Alaa, Adji Bousso Dieng, Natasha Noy, Vijay Janapa Reddi, James Zou, Praveen Paritosh, Mihaela van der Schaar, Kurt Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson

NeurIPSW 2024 LLM4Mat-Bench: Benchmarking Large Language Models for Materials Property Prediction Andre Niyongabo Rubungo, Kangming Li, Jason Hattrick-Simpers, Adji Bousso Dieng

ICML 2024 Quality-Weighted Vendi Scores and Their Application to Diverse Experimental Design Quan Nguyen, Adji Bousso Dieng

TMLR 2023 The Vendi Score: A Diversity Evaluation Metric for Machine Learning Dan Friedman, Adji Bousso Dieng

NeurIPS 2022 Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients Kyurae Kim, Jisu Oh, Jacob Gardner, Adji Bousso Dieng, Hongseok Kim

NeurIPS 2021 Consistency Regularization for Variational Auto-Encoders Samarth Sinha, Adji Bousso Dieng

ICML 2018 Augment and Reduce: Stochastic Inference for Large Categorical Distributions Francisco Ruiz, Michalis Titsias, Adji Bousso Dieng, David Blei

ICML 2018 Noisin: Unbiased Regularization for Recurrent Neural Networks Adji Bousso Dieng, Rajesh Ranganath, Jaan Altosaar, David Blei

NeurIPS 2017 Variational Inference via $\chi$ Upper Bound Minimization Adji Bousso Dieng, Dustin Tran, Rajesh Ranganath, John Paisley, David Blei