TapGlance: designing a unified smartphone interface. - Daniel C. Robbins; Bongshin Lee; Roland Fernandez (Conference on Designing Interactive Systems, 2008)

GroupBanter: Supporting Serendipitous Group Conversations with IM. - Kori Inkpen; Steve Whittaker 001; Mary Czerwinski; Roland Fernandez; James R. Wallace (CollaborateCom, 2008)

Effectiveness of Animation in Trend Visualization. - George G. Robertson; Roland Fernandez; Danyel Fisher; Bongshin Lee; John T. Stasko (IEEE Trans. Vis. Comput. Graph., 2008)

WIPDash: Work Item and People Dashboard for Software Development Teams. - Mikkel R. Jakobsen; Roland Fernandez; Mary Czerwinski; Kori Inkpen; Olga A. Kulyk; George G. Robertson (INTERACT (2), 2009)

What designers want: Needs of interactive application designers. - Valentina Grigoreanu; Roland Fernandez; Kori Inkpen; George G. Robertson (VL/HCC, 2009)

WebCharts: Extending Applications with Web-Authored, Embeddable Visualizations. - Danyel Fisher; Steven Mark Drucker; Roland Fernandez; Scott Ruble (IEEE Trans. Vis. Comput. Graph., 2010)

Refinery: Visual Exploration of Large, Heterogeneous Networks through Associative Browsing. - Sanjay Kairam; Nathalie Henry Riche; Steven Mark Drucker; Roland Fernandez; Jeffrey Heer (Comput. Graph. Forum, 2015)

Learning and Analyzing Vector Encoding of Symbolic Representation. - Roland Fernandez; Asli Celikyilmaz; Paul Smolensky; Rishabh Singh (ICLR (Workshop), 2018)

Learning and analyzing vector encoding of symbolic representations. - Roland Fernandez; Asli Celikyilmaz; Rishabh Singh; Paul Smolensky (CoRR, 2018)

Atom: A Grammar for Unit Visualizations. - Deokgun Park 001; Steven Mark Drucker; Roland Fernandez; Niklas Elmqvist (IEEE Trans. Vis. Comput. Graph., 2018)

A system for real-time interactive analysis of deep learning training. - Shital Shah; Roland Fernandez; Steven Mark Drucker (EICS, 2019)

Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving. - Imanol Schlag; Paul Smolensky; Roland Fernandez; Nebojsa Jojic; Jürgen Schmidhuber; Jianfeng Gao 001 (CoRR, 2019)

Working Memory Graphs. - Ricky Loynd; Roland Fernandez; Asli Celikyilmaz; Adith Swaminathan; Matthew J. Hausknecht (ICML, 2020)

Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language. - Hassan Akbari; Hamid Palangi; Jianwei Yang; Sudha Rao; Asli Celikyilmaz; Roland Fernandez; Paul Smolensky; Jianfeng Gao 001; Shih-Fu Chang (CoRR, 2020)

Compositional processing emerges in neural networks solving math problems. - Jacob L. Russin; Roland Fernandez; Hamid Palangi; Eric Rosen; Nebojsa Jojic; Paul Smolensky; Jianfeng Gao 001 (CogSci, 2021)

Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization. - Yichen Jiang; Asli Celikyilmaz; Paul Smolensky; Paul Soulos; Sudha Rao; Hamid Palangi; Roland Fernandez; Caitlin Smith; Mohit Bansal; Jianfeng Gao 001 (NAACL-HLT, 2021)

Neurocompositional Computing: From the Central Paradox of Cognition to a New Generation of AI Systems. - Paul Smolensky; Richard Thomas McCoy; Roland Fernandez; Matthew Goldrick 001; Jianfeng Gao 001 (AI Mag., 2022)

Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages. - Paul Soulos; Sudha Rao; Caitlin Smith; Eric Rosen; Asli Celikyilmaz; R. Thomas McCoy; Yichen Jiang; Coleman Haley; Roland Fernandez; Hamid Palangi; Jianfeng Gao 001; Paul Smolensky (CoRR, 2022)

Differentiable Tree Operations Promote Compositional Generalization. - Paul Soulos; Edward J. Hu; Kate McCurdy; Yunmo Chen; Roland Fernandez; Paul Smolensky; Jianfeng Gao 001 (ICML, 2023)

Implicit Chain of Thought Reasoning via Knowledge Distillation. - Yuntian Deng; Kiran Prasad; Roland Fernandez; Paul Smolensky; Vishrav Chaudhary; Stuart M. Shieber (CoRR, 2023)

Toward Compositional Behavior in Neural Models: A Survey of Current Views. - Kate McCurdy; Paul Soulos; Paul Smolensky; Roland Fernandez; Jianfeng Gao 001 (EMNLP, 2024)

Compositional Generalization Across Distributional Shifts with Sparse Tree Operations. - Paul Soulos; Henry Conklin; Mattia Opper; Paul Smolensky; Jianfeng Gao 001; Roland Fernandez (NeurIPS, 2024)

Mechanisms of Symbol Processing for In-Context Learning in Transformer Networks. - Paul Smolensky; Roland Fernandez; Zhenghao Herbert Zhou; Mattia Opper; Jianfeng Gao 001 (CoRR, 2024)

TRA: Better Length Generalisation with Threshold Relative Attention. - Mattia Opper; Roland Fernandez; Paul Smolensky; Jianfeng Gao 001 (Trans. Mach. Learn. Res., 2025)