HyperFair: A Soft Approach to Integrating Fairness Criteria. - Charles Dickens; Rishika Singh; Lise Getoor (CoRR, 2020)

Context-Aware Online Collective Inference for Templated Graphical Models. - Charles Dickens; Connor Pryor; Eriq Augustine; Alexander Miller; Lise Getoor (ICML, 2021)

Visual Sudoku Puzzle Classification: A Suite of Collective Neuro-Symbolic Tasks. - Eriq Augustine; Connor Pryor; Charles Dickens; Jay Pujara; William Yang Wang; Lise Getoor (NeSy, 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)

A taxonomy of weight learning methods for statistical relational learning. - Sriram Srinivasan 004; Charles Dickens; Eriq Augustine; Golnoosh Farnadi; Lise Getoor (Mach. Learn., 2022)

Online Collective Demand Forecasting for Bike Sharing Services. - Charles Dickens; Alexander Miller; Lise Getoor (HICSS, 2023)

NeuPSL: Neural Probabilistic Soft Logic. - Connor Pryor; Charles Dickens; Eriq Augustine; Alon Albalak; William Yang Wang; Lise Getoor (IJCAI, 2023)

Modeling Patterns for Neural-Symbolic Reasoning Using Energy-based Models. - Charles Dickens; Connor Pryor; Lise Getoor (AAAI Spring Symposia, 2024)

Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning. - Charles Andrew Dickens; Changyu Gao; Connor Pryor; Stephen J. Wright 001; Lise Getoor (ICML, 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 (WWW (Companion Volume), 2024)

Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning. - Charles Dickens; Changyu Gao; Connor Pryor; Stephen J. Wright 001; Lise Getoor (CoRR, 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 001; Lise Getoor (CoRR, 2024)

A Unifying Mathematical Framework for Neural-Symbolic Systems - Charles Dickens (2024)

Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation. - Jiong Zhu; Aishwarya Reganti; Edward W. Huang; Charles Dickens; Nikhil Rao 001; Karthik Subbian; Danai Koutra (ACM Trans. Knowl. Discov. Data, 2025)