Adji B. Dieng

According to our database1, Adji B. Dieng authored at least 34 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Alternators With Noise Models.
CoRR, May, 2025

Vendi Information Gain: An Alternative To Mutual Information For Science And Machine Learning.
CoRR, May, 2025

Building Machine Learning Challenges for Anomaly Detection in Science.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
CoRR, March, 2025

Vendi-RAG: Adaptively Trading-Off Diversity And Quality Significantly Improves Retrieval Augmented Generation With LLMs.
CoRR, February, 2025

The Vendiscope: An Algorithmic Microscope For Data Collections.
CoRR, February, 2025

The α-Alternator: Dynamic Adaptation To Varying Noise Levels In Sequences Using The Vendi Score For Improved Robustness and Performance.
CoRR, February, 2025

Alternators For Sequence Modeling.
Trans. Mach. Learn. Res., 2025

DiffuSolve: Diffusion-based Solver for Non-convex Trajectory Optimization.
Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

Behavior-Inspired Neural Networks for Relational Inference.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024
LLM4Mat-Bench: Benchmarking Large Language Models for Materials Property Prediction.
CoRR, 2024

Relational Reasoning On Graphs Using Opinion Dynamics.
CoRR, 2024

Efficient and Guaranteed-Safe Non-Convex Trajectory Optimization with Constrained Diffusion Model.
CoRR, 2024

Beyond Aesthetics: Cultural Competence in Text-to-Image Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Quality-Weighted Vendi Scores And Their Application To Diverse Experimental Design.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Constraint-Aware Diffusion Models for Trajectory Optimization.
Proceedings of the Dynamic Data Driven Applications Systems - 5th International Conference, 2024

Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
The Vendi Score: A Diversity Evaluation Metric for Machine Learning.
Trans. Mach. Learn. Res., 2023

DMLR: Data-centric Machine Learning Research - Past, Present and Future.
CoRR, 2023

LLM-Prop: Predicting Physical And Electronic Properties Of Crystalline Solids From Their Text Descriptions.
CoRR, 2023

2022
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Deep Probabilistic Graphical Modeling.
CoRR, 2021

Consistency Regularization for Variational Auto-Encoders.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Deep Probabilistic Graphical Modeling.
PhD thesis, 2020

Topic Modeling in Embedding Spaces.
Trans. Assoc. Comput. Linguistics, 2020

2019
Prescribed Generative Adversarial Networks.
CoRR, 2019

The Dynamic Embedded Topic Model.
CoRR, 2019

Reweighted Expectation Maximization.
CoRR, 2019

Avoiding Latent Variable Collapse with Generative Skip Models.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Augment and Reduce: Stochastic Inference for Large Categorical Distributions.
Proceedings of the 35th International Conference on Machine Learning, 2018

Noisin: Unbiased Regularization for Recurrent Neural Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Variational Inference via \chi Upper Bound Minimization.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
Edward: A library for probabilistic modeling, inference, and criticism.
CoRR, 2016

The $χ$-Divergence for Approximate Inference.
CoRR, 2016


  Loading...