Charles Dickens

According to our database, Charles Dickens authored at least 17 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

JudgmentBench: Comparing Rubric and Preference Evaluation for Quality Assessment.

Russell Yang, Ruishi Chen, Pierce Kelaita, Riya Ranjan, Sibo Ma, Charles Dickens, Matthew Guillod, Megan Ma, Julian Nyarko

CoRR, May, 2026

RIFT: A RubrIc Failure Mode Taxonomy and Automated Diagnostics.

Zhengyang Qi, Charles Dickens, Derek Pham, Amanda Dsouza, Armin Parchami, Frederic Sala, Paroma Varma

CoRR, April, 2026

Benchmarking Agents in Insurance Underwriting Environments.

Amanda Dsouza, Ramya Ramakrishnan, Charles Dickens, Bhavishya Pohani, Christopher M. Glaze

Proceedings of the ACM Conference on AI and Agentic Systems, 2026

2025

Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation.

Jiong Zhu, Aishwarya Reganti, Edward W. Huang, Charles Dickens, Nikhil Rao, Karthik Subbian, Danai Koutra

ACM Trans. Knowl. Discov. Data, January, 2025

2024

A Unifying Mathematical Framework for Neural-Symbolic Systems

Charles Dickens

PhD thesis, 2024

A Mathematical Framework, a Taxonomy of Modeling Paradigms, and a Suite of Learning Techniques for Neural-Symbolic Systems.

Charles Dickens, Connor Pryor, Changyu Gao, Alon Albalak, Eriq Augustine, William Yang Wang, Stephen J. Wright, Lise Getoor

CoRR, 2024

Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning.

Charles Dickens, Changyu Gao, Connor Pryor, Stephen J. Wright, Lise Getoor

CoRR, 2024

Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training.

Charles Dickens, Edward W. Huang, Aishwarya Reganti, Jiong Zhu, Karthik Subbian, Danai Koutra

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning.

Charles Andrew Dickens, Changyu Gao, Connor Pryor, Stephen J. Wright, Lise Getoor

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Modeling Patterns for Neural-Symbolic Reasoning Using Energy-based Models.

Charles Dickens, Connor Pryor, Lise Getoor

Proceedings of the AAAI 2024 Spring Symposium Series, 2024

2023

NeuPSL: Neural Probabilistic Soft Logic.

Connor Pryor, Charles Dickens, Eriq Augustine, Alon Albalak, William Yang Wang, Lise Getoor

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Online Collective Demand Forecasting for Bike Sharing Services.

Charles Dickens, Alexander Miller, Lise Getoor

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

2022

A taxonomy of weight learning methods for statistical relational learning.

Sriram Srinivasan, Charles Dickens, Eriq Augustine, Golnoosh Farnadi, Lise Getoor

Mach. Learn., 2022

Emotion Recognition in Conversation using Probabilistic Soft Logic.

Eriq Augustine, Pegah Jandaghi, Alon Albalak, Connor Pryor, Charles Dickens, William Yang Wang, Lise Getoor

CoRR, 2022

Visual Sudoku Puzzle Classification: A Suite of Collective Neuro-Symbolic Tasks.

Eriq Augustine, Connor Pryor, Charles Dickens, Jay Pujara, William Yang Wang, Lise Getoor

Proceedings of the 16th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 2nd International Joint Conference on Learning & Reasoning (IJCLR 2022), 2022

2021

Context-Aware Online Collective Inference for Templated Graphical Models.

Charles Dickens, Connor Pryor, Eriq Augustine, Alexander Miller, Lise Getoor

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

HyperFair: A Soft Approach to Integrating Fairness Criteria.

Charles Dickens, Rishika Singh, Lise Getoor

CoRR, 2020