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Maithilee Kunda
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Journal Articles
- 2020
- [j5]Maithilee Kunda:
AI, visual imagery, and a case study on the challenges posed by human intelligence tests. Proc. Natl. Acad. Sci. USA 117(47): 29390-29397 (2020) - 2014
- [j4]Keith McGreggor, Maithilee Kunda, Ashok K. Goel:
Fractals and Ravens. Artif. Intell. 215: 1-23 (2014) - 2013
- [j3]Maithilee Kunda, Keith McGreggor, Ashok K. Goel:
A computational model for solving problems from the Raven's Progressive Matrices intelligence test using iconic visual representations. Cogn. Syst. Res. 22-23: 47-66 (2013) - 2010
- [j2]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
, Leslie Pack Kaelbling, Kristian Kersting, Maithilee Kunda, Luís C. Lamb, Bhaskara Marthi, Keith McGreggor, Vivi Nastase, Gregory M. Provan, Anita Raja, Ashwin Ram, Mark O. Riedl, Stuart Russell, Ashish Sabharwal, Jan-Georg Smaus, Gita Sukthankar, Karl Tuyls, Ron van der Meyden, Alon Y. Halevy, Lilyana Mihalkova, Sriraam Natarajan:
Reports of the AAAI 2010 Conference Workshops. AI Mag. 31(4): 95-108 (2010) - 2007
- [j1]James C. Neidhoefer, Christopher Gibson, Maithilee Kunda, Eric N. Johnson:
Determinism and Autonomy in the National Airspace System (NAS). J. Aerosp. Comput. Inf. Commun. 4(11): 1037-1045 (2007)
Conference and Workshop Papers
- 2024
- [c35]Joel Michelson, Deepayan Sanyal, James Ainooson, Effat Farhana, Maithilee Kunda:
Standoff: Benchmarking Representation Learning for Nonverbal Theory of Mind Tasks. ICDL 2024: 1-6 - 2023
- [c34]Deepayan Sanyal, Joel Michelson, Yuan Yang, James Ainooson, Maithilee Kunda:
A Computational Account Of Self-Supervised Visual Learning From Egocentric Object Play. CogSci 2023 - 2022
- [c33]Joel Michelson, Deepayan Sanyal, James Ainooson, Yuan Yang, Maithilee Kunda:
Experimental Design and Facets of Evidence for Computational Theory of Mind. AIC 2022: 17-29 - [c32]Yuan Yang, Deepayan Sanyal, Joel Michelson, James Ainooson, Maithilee Kunda:
A Conceptual Chronicle of Solving Raven's Progressive Matrices Computationally. AIC 2022: 60-78 - [c31]Yuan Yang, Deepayan Sanyal, Joel Michelson, James Ainooson, Maithilee Kunda:
An End-to-End Imagery-Based Modeling of Solving Geometric Analogy Problems. CogSci 2022 - 2021
- [c30]Avery C. Dunn, Alice Qiao, Maya R. Johnson, Maithilee Kunda:
Measuring More to Learn More From the Block Design Test: A Literature Review. CogSci 2021 - [c29]Israel Flores, Carson Fallon, Maithilee Kunda:
Visuospatial Skills and the Workforce: A Brief Review. CogSci 2021 - [c28]Yiyuan Yang, Kenneth Li, Fernanda Monteiro Eliott, Maithilee Kunda:
Do Time Constraints Re-Prioritize Attention to Shapes During Visual Photo Inspection? CogSci 2021 - [c27]Joel Michelson, Deepayan Sanyal, James Ainooson, Yuan Yang, Maithilee Kunda:
Social Cognition Paradigms ex Machinas. ToM for Teams 2021: 53-71 - 2020
- [c26]James Ainooson, Joel Michelson, Deepayan Sanyal, Joshua H. Palmer, Maithilee Kunda:
Modeling Visuospatial Reasoning Across 17 Different Tests on the Leiter Scale of Nonverbal Intelligence. CogSci 2020 - [c25]Seunghwan Cha, James Ainooson, Eunji Chong, Isabelle Soulières, James M. Rehg, Maithilee Kunda:
Enhancing Cognitive Assessment through Multimodal Sensing: A Case Study Using the Block Design Test. CogSci 2020 - [c24]Tianyu Hua, Maithilee Kunda:
Modeling Gestalt Visual Reasoning on Raven's Progressive Matrices Using Generative Image Inpainting Techniques. CogSci 2020 - [c23]Deepayan Sanyal, Joel Michelson, Adriane E. Seiffert, Maithilee Kunda:
Part of Your World: Trends in the Visual Complexity of Digital Media. CogSci 2020 - [c22]Xiaoman Zi, Shiyao Li, Roxanne Rashedi, Marian Rushdy, Ben Lane, Shitanshu Mishra, Gautam Biswas, Amy Swanson, Amy Kinsman, Nicole Bardett, Zachary Warren, Pablo Juárez, Maithilee Kunda:
Adapting Educational Technologies Across Learner Populations: A Usability Study with Adolescents on the Autism Spectrum. CogSci 2020 - [c21]Zhanwen Chen
Characterizing Datasets for Social Visual Question Answering, and the New TinySocial Dataset. ICDL-EPIROB 2020: 1-6 - [c20]Roxanne Rashedi, Kemberlee Bonnet, Rebecca Schulte, David Schlundt, Amy Swanson, Amy Kinsman, Nicole Bardett, Zachary Warren, Pablo Juárez, Gautam Biswas, Maithilee Kunda:
Opportunities and Challenges in Developing Technology-Based Social Skills Interventions for Youth With Autism Spectrum Disorder: A Qualitative Analysis of Parent Perspectives. ICLS 2020 - 2019
- [c19]Maithilee Kunda:
AI and Cognitive Testing: A New Conceptual Framework and Roadmap. CogSci 2019: 2065-2070 - [c18]Benjamin Scheer, Fidel Cano Renteria, Maithilee Kunda:
Technology-Based Cognitive Enrichment for Animals in Zoos: A Case Study and Lessons Learned. CogSci 2019: 2741-2747 - 2018
- [c17]Joshua H. Palmer, Maithilee Kunda:
Thinking in PolAR Pictures: Using Rotation-Friendly Mental Images to Solve Leiter-R Form Completion. AAAI 2018: 612-619 - [c16]Joseph Eilbert, Zameese Peters, Fernanda Monteiro Eliott, Keivan G. Stassun, Maithilee Kunda:
Shapes in Scatterplots: Comparing Human Visual Impressions and Computational Metrics. CogSci 2018 - [c15]Noel Warford, Maithilee Kunda:
Measuring Individual Differences in Visual and Verbal Thinking Styles. CogSci 2018 - 2017
- [c14]Maithilee Kunda:
Understanding the Role of Visual Mental Imagery in Intelligence: The Retinotopic Reasoning (R2) Cognitive Architecture. AAAI Fall Symposia 2017: 401-407 - [c13]James Ainooson, Maithilee Kunda:
A Computational Model for Reasoning About the Paper Folding Task Using Visual Mental Images. CogSci 2017 - [c12]Fernanda Monteiro Eliott, Keivan G. Stassun, Maithilee Kunda:
Visual Data Exploration: How Expert Astronomers Use Flipbook-Style Visual Approaches to Understand New Data. CogSci 2017 - [c11]Xiaohan Wang, Fernanda Monteiro Eliott, James Ainooson, Joshua H. Palmer, Maithilee Kunda:
An Object is Worth Six Thousand Pictures: The Egocentric, Manual, Multi-image (EMMI) Dataset. ICCV Workshops 2017: 2364-2372 - 2016
- [c10]Maithilee Kunda, Mohamed El Banani, James M. Rehg:
A Computational Exploration of Problem-Solving Strategies and Gaze Behaviors on the Block Design Task. CogSci 2016 - 2013
- [c9]Maithilee Kunda, Isabelle Soulières, Agata Rozga, Ashok K. Goel:
Methods for Classifying Errors on the Raven's Standard Progressive Matrices Test. CogSci 2013 - [c8]Ashok K. Goel, Maithilee Kunda, David A. Joyner, Swaroop Vattam:
Learning about Representational Modality: Design and Programming Projects for Knowledge-Based AI. EAAI 2013: 1586-1591 - 2012
- [c7]Maithilee Kunda, Keith McGreggor, Ashok K. Goel:
Reasoning on the Raven's Advanced Progressive Matrices Test with Iconic Visual Representations. CogSci 2012 - 2011
- [c6]Maithilee Kunda, Keith McGreggor, Ashok K. Goel:
Two Visual Strategies for Solving the Raven's Progressive Matrices Intelligence Test. AAAI 2011: 1555-1558 - [c5]Keith McGreggor, Maithilee Kunda, Ashok K. Goel:
Fractal Analogies: Preliminary Results from the Raven's Test of Intelligence. ICCC 2011: 69-71 - 2010
- [c4]Keith McGreggor, Maithilee Kunda, Ashok K. Goel:
A Fractal Analogy Approach to the Raven's Test of Intelligence. Visual Representations and Reasoning 2010 - [c3]Keith McGreggor, Maithilee Kunda, Ashok K. Goel:
A Fractal Approach Towards Visual Analogy. ICCC 2010: 65-74 - 2009
- [c2]Maithilee Kunda, Keith McGreggor, Ashok K. Goel:
Addressing the Raven's Progressive Matrices Test of "General" Intelligence. AAAI Fall Symposium: Multi-Representational Architectures for Human-Level Intelligence 2009 - 2008
- [c1]Maithilee Kunda, Ashok K. Goel:
What Can Pictorial Representations Reveal about the Cognitive Characteristics of Autism?. Diagrams 2008: 103-117
Informal and Other Publications
- 2023
- [i16]Yuan Yang, Maithilee Kunda:
Computational Models of Solving Raven's Progressive Matrices: A Comprehensive Introduction. CoRR abs/2302.04238 (2023) - [i15]Yuan Yang, Deepayan Sanyal, Joel Michelson, James Ainooson, Maithilee Kunda:
Deep Non-Monotonic Reasoning for Visual Abstract Reasoning Tasks. CoRR abs/2302.07137 (2023) - [i14]James Ainooson, Deepayan Sanyal, Joel P. Michelson, Yuan Yang, Maithilee Kunda:
An Approach for Solving Tasks on the Abstract Reasoning Corpus. CoRR abs/2302.09425 (2023) - [i13]Deepayan Sanyal, Joel Michelson, Yuan Yang, James Ainooson, Maithilee Kunda:
A Computational Account Of Self-Supervised Visual Learning From Egocentric Object Play. CoRR abs/2305.19445 (2023) - [i12]Yuan Yang, Deepayan Sanyal, James Ainooson, Joel Michelson, Effat Farhana, Maithilee Kunda:
A Cognitively-Inspired Neural Architecture for Visual Abstract Reasoning Using Contrastive Perceptual and Conceptual Processing. CoRR abs/2309.10532 (2023) - 2022
- [i11]Yuan Yang, Deepayan Sanyal, Joel Michelson, James Ainooson, Maithilee Kunda:
Automatic Item Generation of Figural Analogy Problems: A Review and Outlook. CoRR abs/2201.08450 (2022) - [i10]Yuan Yang, Keith McGreggor, Maithilee Kunda:
Visual-Imagery-Based Analogical Construction in Geometric Matrix Reasoning Task. CoRR abs/2208.13841 (2022) - 2021
- [i9]Yiyuan Yang, Kenneth Li, Fernanda Monteiro Eliott, Maithilee Kunda:
Do Time Constraints Re-Prioritize Attention to Shapes During Visual Photo Inspection? CoRR abs/2104.06984 (2021) - [i8]Maithilee Kunda:
The AI Triplet: Computational, Conceptual, and Mathematical Representations in AI Education. CoRR abs/2110.09290 (2021) - 2020
- [i7]Tengyu Ma, Joel Michelson, James Ainooson, Deepayan Sanyal, Xiaohan Wang, Maithilee Kunda:
Variable-Viewpoint Representations for 3D Object Recognition. CoRR abs/2002.03131 (2020) - [i6]Maithilee Kunda, Irina Rabkina:
Creative Captioning: An AI Grand Challenge Based on the Dixit Board Game. CoRR abs/2010.00048 (2020) - [i5]Zhanwen Chen, Shiyao Li, Roxanne Rashedi, Xiaoman Zi, Morgan Elrod-Erickson, Bryan Hollis, Angela Maliakal, Xinyu Shen, Simeng Zhao, Maithilee Kunda:
Characterizing Datasets for Social Visual Question Answering, and the New TinySocial Dataset. CoRR abs/2010.11997 (2020) - 2019
- [i4]Tianyu Hua, Maithilee Kunda:
Modeling Gestalt Visual Reasoning on the Raven's Progressive Matrices Intelligence Test Using Generative Image Inpainting Techniques. CoRR abs/1911.07736 (2019) - [i3]Joel Michelson, Joshua H. Palmer, Aneesha Dasari, Maithilee Kunda:
Learning Spatially Structured Image Transformations Using Planar Neural Networks. CoRR abs/1912.01553 (2019) - 2018
- [i2]Xiaohan Wang, Tengyu Ma, James Ainooson, Seunghwan Cha, Xiaotian Wang, Azhar Molla, Maithilee Kunda:
Seeing Neural Networks Through a Box of Toys: The Toybox Dataset of Visual Object Transformations. CoRR abs/1806.06034 (2018) - [i1]Seunghwan Cha, James Ainooson, Maithilee Kunda:
Quantifying Human Behavior on the Block Design Test Through Automated Multi-Level Analysis of Overhead Video. CoRR abs/1811.07488 (2018)
Coauthor Index
aka: Joel P. Michelson
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