Determinism and Autonomy in the National Airspace System (NAS). - James C. Neidhoefer; Christopher Gibson; Maithilee Kunda; Eric N. Johnson (J. Aerosp. Comput. Inf. Commun., 2007)

What Can Pictorial Representations Reveal about the Cognitive Characteristics of Autism?. - Maithilee Kunda; Ashok K. Goel 001 (Diagrams, 2008)

Addressing the Raven's Progressive Matrices Test of "General" Intelligence. - Maithilee Kunda; Keith McGreggor; Ashok K. Goel 001 (AAAI Fall Symposium: Multi-Representational Architectures for Human-Level Intelligence, 2009)

A Fractal Analogy Approach to the Raven's Test of Intelligence. - Keith McGreggor; Maithilee Kunda; Ashok K. Goel 001 (Visual Representations and Reasoning, 2010)

A Fractal Approach Towards Visual Analogy. - Keith McGreggor; Maithilee Kunda; Ashok K. Goel 001 (ICCC, 2010)

Reports of the AAAI 2010 Conference Workshops. - David W. Aha; Mark S. Boddy; Vadim Bulitko; Artur S. d'Avila Garcez; Prashant Doshi; Stefan Edelkamp; Christopher W. Geib; Piotr J. Gmytrasiewicz; Robert P. Goldman; Pascal Hitzler; Charles L. Isbell Jr.; Darsana P. Josyula; et al. (AI Mag., 2010)

Two Visual Strategies for Solving the Raven's Progressive Matrices Intelligence Test. - Maithilee Kunda; Keith McGreggor; Ashok K. Goel 001 (AAAI, 2011)

Fractal Analogies: Preliminary Results from the Raven's Test of Intelligence. - Keith McGreggor; Maithilee Kunda; Ashok K. Goel 001 (ICCC, 2011)

Reasoning on the Raven's Advanced Progressive Matrices Test with Iconic Visual Representations. - Maithilee Kunda; Keith McGreggor; Ashok K. Goel 001 (CogSci, 2012)

Methods for Classifying Errors on the Raven's Standard Progressive Matrices Test. - Maithilee Kunda; Isabelle Soulières; Agata Rozga; Ashok K. Goel 001 (CogSci, 2013)

Learning about Representational Modality: Design and Programming Projects for Knowledge-Based AI. - Ashok K. Goel 001; Maithilee Kunda; David A. Joyner; Swaroop Vattam (EAAI, 2013)

A computational model for solving problems from the Raven's Progressive Matrices intelligence test using iconic visual representations. - Maithilee Kunda; Keith McGreggor; Ashok K. Goel 001 (Cogn. Syst. Res., 2013)

Visual problem solving in autism, psychometrics, and AI: the case of the Raven's Progressive Matrices intelligence test. - Maithilee Kunda (2013)

Fractals and Ravens. - Keith McGreggor; Maithilee Kunda; Ashok K. Goel 001 (Artif. Intell., 2014)

A Computational Exploration of Problem-Solving Strategies and Gaze Behaviors on the Block Design Task. - Maithilee Kunda; Mohamed El Banani; James M. Rehg (CogSci, 2016)

Understanding the Role of Visual Mental Imagery in Intelligence: The Retinotopic Reasoning (R2) Cognitive Architecture. - Maithilee Kunda (AAAI Fall Symposia, 2017)

A Computational Model for Reasoning About the Paper Folding Task Using Visual Mental Images. - James Ainooson; Maithilee Kunda (CogSci, 2017)

Visual Data Exploration: How Expert Astronomers Use Flipbook-Style Visual Approaches to Understand New Data. - Fernanda Monteiro Eliott; Keivan G. Stassun; Maithilee Kunda (CogSci, 2017)

An Object is Worth Six Thousand Pictures: The Egocentric, Manual, Multi-image (EMMI) Dataset. - Xiaohan Wang; Fernanda Monteiro Eliott; James Ainooson; Joshua H. Palmer; Maithilee Kunda (ICCV Workshops, 2017)

Thinking in PolAR Pictures: Using Rotation-Friendly Mental Images to Solve Leiter-R Form Completion. - Joshua H. Palmer; Maithilee Kunda (AAAI, 2018)

Shapes in Scatterplots: Comparing Human Visual Impressions and Computational Metrics. - Joseph Eilbert; Zameese Peters; Fernanda Monteiro Eliott; Keivan G. Stassun; Maithilee Kunda (CogSci, 2018)

Measuring Individual Differences in Visual and Verbal Thinking Styles. - Noel Warford; Maithilee Kunda (CogSci, 2018)

Seeing Neural Networks Through a Box of Toys: The Toybox Dataset of Visual Object Transformations. - Xiaohan Wang; Tengyu Ma 003; James Ainooson; Seunghwan Cha; Xiaotian Wang; Azhar Molla; Maithilee Kunda (CoRR, 2018)

Quantifying Human Behavior on the Block Design Test Through Automated Multi-Level Analysis of Overhead Video. - Seunghwan Cha; James Ainooson; Maithilee Kunda (CoRR, 2018)

AI and Cognitive Testing: A New Conceptual Framework and Roadmap. - Maithilee Kunda (CogSci, 2019)

Technology-Based Cognitive Enrichment for Animals in Zoos: A Case Study and Lessons Learned. - Benjamin Scheer; Fidel Cano Renteria; Maithilee Kunda (CogSci, 2019)

Modeling Gestalt Visual Reasoning on the Raven's Progressive Matrices Intelligence Test Using Generative Image Inpainting Techniques. - Tianyu Hua; Maithilee Kunda (CoRR, 2019)

Learning Spatially Structured Image Transformations Using Planar Neural Networks. - Joel Michelson; Joshua H. Palmer; Aneesha Dasari; Maithilee Kunda (CoRR, 2019)

Modeling Visuospatial Reasoning Across 17 Different Tests on the Leiter Scale of Nonverbal Intelligence. - James Ainooson; Joel Michelson; Deepayan Sanyal; Joshua H. Palmer; Maithilee Kunda (CogSci, 2020)

Enhancing Cognitive Assessment through Multimodal Sensing: A Case Study Using the Block Design Test. - Seunghwan Cha; James Ainooson; Eunji Chong; Isabelle Soulières; James M. Rehg; Maithilee Kunda (CogSci, 2020)

Modeling Gestalt Visual Reasoning on Raven's Progressive Matrices Using Generative Image Inpainting Techniques. - Tianyu Hua; Maithilee Kunda (CogSci, 2020)

Part of Your World: Trends in the Visual Complexity of Digital Media. - Deepayan Sanyal; Joel Michelson; Adriane E. Seiffert; Maithilee Kunda (CogSci, 2020)

Adapting Educational Technologies Across Learner Populations: A Usability Study with Adolescents on the Autism Spectrum. - Xiaoman Zi; Shiyao Li; Roxanne Rashedi; Marian Rushdy; Ben Lane; Shitanshu Mishra; Gautam Biswas; Amy Swanson; Amy Kinsman; Nicole Bardett; Zachary Warren; Pablo Juárez; et al. (CogSci, 2020)

Characterizing Datasets for Social Visual Question Answering, and the New TinySocial Dataset. - Zhanwen Chen; Shiyao Li; Roxanne Rashedi; Xiaoman Zi; Morgan Elrod-Erickson; Bryan Hollis; Angela Maliakal; Xinyu Shen; Simeng Zhao; Maithilee Kunda (ICDL-EPIROB, 2020)

Opportunities and Challenges in Developing Technology-Based Social Skills Interventions for Youth With Autism Spectrum Disorder: A Qualitative Analysis of Parent Perspectives. - Roxanne Rashedi; Kemberlee Bonnet; Rebecca Schulte; David Schlundt; Amy Swanson; Amy Kinsman; Nicole Bardett; Zachary Warren; Pablo Juárez; Gautam Biswas; Maithilee Kunda (ICLS, 2020)

Variable-Viewpoint Representations for 3D Object Recognition. - Tengyu Ma 003; Joel Michelson; James Ainooson; Deepayan Sanyal; Xiaohan Wang; Maithilee Kunda (CoRR, 2020)

Creative Captioning: An AI Grand Challenge Based on the Dixit Board Game. - Maithilee Kunda; Irina Rabkina (CoRR, 2020)

AI, visual imagery, and a case study on the challenges posed by human intelligence tests. - Maithilee Kunda (Proc. Natl. Acad. Sci. USA, 2020)

Measuring More to Learn More From the Block Design Test: A Literature Review. - Avery C. Dunn; Alice Qiao; Maya R. Johnson; Maithilee Kunda (CogSci, 2021)

Visuospatial Skills and the Workforce: A Brief Review. - Israel Flores; Carson Fallon; Maithilee Kunda (CogSci, 2021)

Do Time Constraints Re-Prioritize Attention to Shapes During Visual Photo Inspection? - Yiyuan Yang; Kenneth Li 001; Fernanda Monteiro Eliott; Maithilee Kunda (CogSci, 2021)

Social Cognition Paradigms ex Machinas. - Joel Michelson; Deepayan Sanyal; James Ainooson; Yuan Yang; Maithilee Kunda (ToM for Teams, 2021)

The AI Triplet: Computational, Conceptual, and Mathematical Representations in AI Education. - Maithilee Kunda (CoRR, 2021)

Experimental Design and Facets of Evidence for Computational Theory of Mind. - Joel Michelson; Deepayan Sanyal; James Ainooson; Yuan Yang; Maithilee Kunda (AIC, 2022)

A Conceptual Chronicle of Solving Raven's Progressive Matrices Computationally. - Yuan Yang; Deepayan Sanyal; Joel Michelson; James Ainooson; Maithilee Kunda (AIC, 2022)

An End-to-End Imagery-Based Modeling of Solving Geometric Analogy Problems. - Yuan Yang; Deepayan Sanyal; Joel Michelson; James Ainooson; Maithilee Kunda (CogSci, 2022)

Automatic Item Generation of Figural Analogy Problems: A Review and Outlook. - Yuan Yang; Deepayan Sanyal; Joel Michelson; James Ainooson; Maithilee Kunda (CoRR, 2022)

Visual-Imagery-Based Analogical Construction in Geometric Matrix Reasoning Task. - Yuan Yang; Keith McGreggor; Maithilee Kunda (CoRR, 2022)

A Computational Account Of Self-Supervised Visual Learning From Egocentric Object Play. - Deepayan Sanyal; Joel Michelson; Yuan Yang; James Ainooson; Maithilee Kunda (CogSci, 2023)

Computational Models of Solving Raven's Progressive Matrices: A Comprehensive Introduction. - Yuan Yang; Maithilee Kunda (CoRR, 2023)

Deep Non-Monotonic Reasoning for Visual Abstract Reasoning Tasks. - Yuan Yang; Deepayan Sanyal; Joel Michelson; James Ainooson; Maithilee Kunda (CoRR, 2023)

An Approach for Solving Tasks on the Abstract Reasoning Corpus. - James Ainooson; Deepayan Sanyal; Joel P. Michelson; Yuan Yang; Maithilee Kunda (CoRR, 2023)

A Cognitively-Inspired Neural Architecture for Visual Abstract Reasoning Using Contrastive Perceptual and Conceptual Processing. - Yuan Yang; Deepayan Sanyal; James Ainooson; Joel Michelson; Effat Farhana; Maithilee Kunda (CoRR, 2023)

Standoff: Benchmarking Representation Learning for Nonverbal Theory of Mind Tasks. - Joel Michelson; Deepayan Sanyal; James Ainooson; Effat Farhana; Maithilee Kunda (ICDL, 2024)