Adji Bousso Dieng

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Variational Inference

Diffusion Models

Evaluation Metrics

Experimental Designs

Top Venues

Publications

Yulong Yang, Bowen Feng, Keqin Wang, Naomi Ehrich Leonard, Adji Bousso Dieng, Christine Allen-Blanchette
Relational Reasoning On Graphs Using Opinion Dynamics. CoRR (2024)
Amey P. Pasarkar, Adji Bousso Dieng
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning. AISTATS (2024)
Nithish Kannen, Arif Ahmad, Marco Andreetto, Vinodkumar Prabhakaran, Utsav Prabhu, Adji Bousso Dieng, Pushpak Bhattacharyya, Shachi Dave
Beyond Aesthetics: Cultural Competence in Text-to-Image Models. CoRR (2024)
Mohammad Reza Rezaei, Adji Bousso Dieng
Alternators For Sequence Modeling. CoRR (2024)
Anjian Li, Zihan Ding, Adji Bousso Dieng, Ryne Beeson
Efficient and Guaranteed-Safe Non-Convex Trajectory Optimization with Constrained Diffusion Model. CoRR (2024)
Quan Nguyen, Adji Bousso Dieng
Quality-Weighted Vendi Scores And Their Application To Diverse Experimental Design. CoRR (2024)
Anjian Li, Zihan Ding, Adji Bousso Dieng, Ryne Beeson
Constraint-Aware Diffusion Models for Trajectory Optimization. CoRR (2024)
Amey P. Pasarkar, Adji Bousso Dieng
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning. CoRR (2023)
Andre Niyongabo Rubungo, Craig Arnold, Barry P. Rand, Adji Bousso Dieng
LLM-Prop: Predicting Physical And Electronic Properties Of Crystalline Solids From Their Text Descriptions. CoRR (2023)
Dan Friedman, Adji Bousso Dieng
The Vendi Score: A Diversity Evaluation Metric for Machine Learning. Trans. Mach. Learn. Res. 2023 (2023)
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 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 Karlas, Ahmed Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt D. Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR (2023)
Dan Friedman, Adji Bousso Dieng
The Vendi Score: A Diversity Evaluation Metric for Machine Learning. CoRR (2022)
Kyurae Kim, Jisu Oh, Jacob R. Gardner, Adji Bousso Dieng, Hongseok Kim
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients. NeurIPS (2022)
Kyurae Kim, Jisu Oh, Jacob R. Gardner, Adji Bousso Dieng, Hongseok Kim
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients. CoRR (2022)
Samarth Sinha, Adji Bousso Dieng
Consistency Regularization for Variational Auto-Encoders. NeurIPS (2021)
Adji Bousso Dieng, Francisco J. R. Ruiz, David M. Blei
Topic Modeling in Embedding Spaces. Trans. Assoc. Comput. Linguistics 8 (2020)
Adji Bousso Dieng, Rajesh Ranganath, Jaan Altosaar, David M. Blei
Noisin: Unbiased Regularization for Recurrent Neural Networks. ICML (2018)
Adji Bousso Dieng, Dustin Tran, Rajesh Ranganath, John W. Paisley, David M. Blei
Variational Inference via \chi Upper Bound Minimization. NIPS (2017)