| 2026 | AAAI | Computer Vision Modeling of the Development of Geometric and Numerical Concepts in Humans. | Zekun Wang, Sashank Varma |
| 2025 | AAAI | Alignment of CNN and Human Judgments of Geometric and Topological Concepts. | Neha Upadhyay, Vijay Marupudi, Kamala Varma, Sashank Varma |
| 2025 | CogSci | Cross-Language Typicality Effects in a Multilingual Large Language Model. | Sneh Gupta, Ethan L. Haarer, May Kalnik, Amogh S. Mellacheruvu, Nikhita Vasan, Sashank Varma |
| 2025 | CogSci | A Neural Network Model of Complementary Learning Systems: Pattern Separation and Completion for Continual Learning. | James P. Jun, Vijay Marupudi, Raj Sanjay Shah, Sashank Varma |
| 2025 | CogSci | Modeling Understanding of Story-Based Analogies Using Large Language Models. | Keshav Kabra, Kalit Inani, Vijay Marupudi, Sashank Varma |
| 2025 | CogSci | Perceived clusters may not explain people's judgments of approximate numerosity. | Vijay Marupudi, Sashank Varma, V. N. Vimal Rao |
| 2025 | CogSci | Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts. | Zekun Wang, Sashank Varma |
| 2024 | CogSci | Understanding Infinity: Neural Network Models of Becoming a "Cardinal Principle Knower". | Vima Gupta, Sashank Varma |
| 2024 | CogSci | Towards a path dependent account of category fluency. | David Heineman, Reba Koenen, Sashank Varma |
| 2024 | CogSci | Cobweb: An Incremental and Hierarchical Model of Human-Like Category Learning. | Xin Lian, Sashank Varma, Christopher MacLellan |
| 2024 | CogSci | Incremental Comprehension of Garden-Path Sentences by Large Language Models: Semantic Interpretation, Syntactic Re-Analysis, and Attention. | Andrew Li, Xianle Feng, Siddhant Narang, Austin Peng, Tianle Cai, Raj Sanjay Shah, Sashank Varma |
| 2024 | CogSci | Estimating the growth of functions. | Vijay Marupudi, Jeffrey K. Bye, Sashank Varma |
| 2024 | CogSci | How Well Do Deep Learning Models Capture Human Concepts? The Case of the Typicality Effect. | Siddhartha K. Vemuri, Raj Sanjay Shah, Sashank Varma |
| 2024 | EMNLP | Development of Cognitive Intelligence in Pre-trained Language Models. | Raj Sanjay Shah, Khushi Bhardwaj, Sashank Varma |
| 2023 | ACL | Numeric Magnitude Comparison Effects in Large Language Models. | Raj Sanjay Shah, Vijay Marupudi, Reba Koenen, Khushi Bhardwaj, Sashank Varma |
| 2023 | CogSci | Adaptivity and optimization under constraints. | Reba Koenen, Sashank Varma |
| 2023 | CogSci | Models of human visual clustering. | Vijay Marupudi, Sashank Varma |
| 2023 | CogSci | Unifying exemplar and prototype models of categorization. | Max Zuo, Vijay Marupudi, Sashank Varma |
| 2022 | CogSci | Neighborhood effects for composite (i.e., non-prime) numbers. | Jeffrey K. Bye, Rina Harsch, Sashank Varma |
| 2022 | CogSci | Learning to count: a neural network model of the successor function. | Vima Gupta, Sashank Varma |
| 2022 | CogSci | Toward Automated Detection of Phase Changes in Team Collaboration. | Julie L. Harrison, Sona Anita Jain, Terri A. Dunbar, Jamie C. Gorman, Sashank Varma |
| 2022 | CogSci | Typicality gradients in the category fluency task. | Reba Koenen, Benjamin Y. Hayden, Alexander B. Herman, Sashank Varma |
| 2022 | CogSci | Catastrophic interference in neural network models is mitigated when the training data reflect a power-law environmental structure. | Sibley F. Lyndgaard, Zachary R. Tidler, Lucas Provine, Sashank Varma |
| 2022 | CogSci | Use of clustering in human solutions of the traveling salesperson problem. | Vijay Marupudi, Rina Harsch, V. N. Vimal Rao, Jimin Park, Jeffrey K. Bye, Sashank Varma |
| 2022 | CogSci | Typicality Gradients in Computer Vision Models. | Neha Upadhyay, Kritika Mittal, Sashank Varma |
| 2021 | CogSci | Calibration information reduces bias during estimation of factorials: A (partial) replication and extension of Tversky and Kahneman (1973). | Jeffrey K. Bye, Vijay Marupudi, Jimin Park, Sashank Varma |
| 2021 | CogSci | The role of clustering in the efficient solution of small Traveling Salesperson Problems. | Vijay Marupudi, Rina Harsch, V. N. Vimal Rao, Jeffrey K. Bye, Jimin Park, Sashank Varma |
| 2021 | CogSci | Categorical perception of p-values. | V. N. Vimal Rao, Jeffrey K. Bye, Sashank Varma |
| 2020 | CogSci | Algebra decoded: individual differences in strategy selection when solving for 'x'. | Jeffrey K. Bye, Rina Harsch, Sashank Varma |
| 2020 | CogSci | Identifying Individual Differences in Sensemaking and Information Foraging. | Kara Kedrick, Sashank Varma, Paul Schrater |
| 2020 | CogSci | Clustering as a precursor to efficient and near-optimal solution of small instances of the Traveling Salesperson Problem (TSP). | Vijay Marupudi, V. N. Vimal Rao, Jimin Park, Rina Harsch, Jeffrey K. Bye, Sashank Varma |
| 2018 | CogSci | Arithmetic Sense Predicts Children's Mathematical Achievement Better Than Arithmetic Fluency. | Soo-hyun Im, Sashank Varma |
| 2018 | CogSci | Does shifting ability support interleaved learning of new science concepts in middle school students? | Jimin Park, Keisha Varma, Sashank Varma |
| 2017 | CogSci | The Relationship Between Executive Functions and Science Achievement. | Drake Bauer, Sashank Varma, Keisha Varma, Martin Van Boekel, Alyssa Worley, Jean-Baptiste Quillien, Tayler Loiselle, Purav Patel |
| 2016 | CogSci | Mental representations and processing of radical expressions. | Purav Patel, Sashank Varma |
| 2007 | IJCAI | Resource Constraints on Computation and Communication in the Brain. | Sashank Varma |