| Context matters: A theory of semantic discriminability for perceptual encoding systems K Mukherjee, B Yin, BE Sherman, L Lessard, KB Schloss IEEE Transactions on Visualization and Computer Graphics 28 (1), 697-706, 2021 | 18 | 2021 |
| Communicating semantic part information in drawings. K Mukherjee, RXD Hawkins, JW Fan CogSci, 2413-2419, 2019 | 18 | 2019 |
| Conceptual structure coheres in human cognition but not in large language models S Suresh, K Mukherjee, X Yu, WC Huang, L Padua, T Rogers Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 3 | 2023 |
| Semantic feature verification in flan-t5 S Suresh, K Mukherjee, TT Rogers arXiv preprint arXiv:2304.05591, 2023 | 3 | 2023 |
| Behavioral estimates of conceptual structure are robust across tasks in humans but not large language models S Suresh, L Padua, K Mukherjee, TT Rogers arXiv preprint arXiv:2304.02754, 2023 | 2 | 2023 |
| Finding meaning in simple sketches: How do humans and deep networks compare? K Mukherjee, TT Rogers Journal of Vision 20 (11), 1026-1026, 2020 | 2 | 2020 |
| SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction K Mukherjee, H Huey, X Lu, Y Vinker, R Aguina-Kang, A Shamir, J Fan Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Color semantics for visual communication KB Schloss, MA Schoenlein, K Mukherjee Visualization Psychology, 3-37, 2023 | 1 | 2023 |
| Color-concept associations reveal an abstract conceptual space K Mukherjee, K Schloss, L Lessard, M Gleicher, T Rogers Journal of Vision 22 (14), 4408-4408, 2022 | 1 | 2022 |
| THINGS-drawings: A large-scale dataset containing human sketches of 1,854 object concepts JE Fan, K Mukherjee, H Huey, MN Hebart, WA Bainbridge Journal of Vision 23 (9), 5975-5975, 2023 | | 2023 |
| Evaluating machine comprehension of sketch meaning at different levels of abstraction X Lu, K Mukherjee, R Aguina-Kang, H Huey, JE Fan Journal of Vision 23 (9), 5938-5938, 2023 | | 2023 |
| Can deep convolutional networks explain the semantic structure that humans see in photographs? S Suresh, K Mukherjee, TT Rogers Journal of Vision 23 (9), 5634-5634, 2023 | | 2023 |
| How do people map colors to concepts? Modeling assignment inference as evidence accumulation K Mukherjee, L Lessard, KB Schloss Journal of Vision 23 (9), 5669-5669, 2023 | | 2023 |
| Human-machine cooperation for semantic feature listing K Mukherjee, S Suresh, TT Rogers arXiv preprint arXiv:2304.05012, 2023 | | 2023 |
| Using drawings and deep neural networks to characterize the building blocks of human visual similarity K Mukherjee, T Rogers PsyArXiv, 2023 | | 2023 |
| Evaluating machine comprehension of sketch meaning at different levels of abstraction K Mukherjee, X Lu, H Huey, Y Vinker, R Aguina-Kang, A Shamir, JE Fan Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), 2023 | | 2023 |
| Probing the functional relevance of side-reads and bypass-connections in the primate ventral stream during visual object recognition using deep neural networks M Armendariz, K Mukherjee, J Shang, K Kar Journal of Vision 22 (14), 4115-4115, 2022 | | 2022 |
| From Images to Symbols: Drawing as a Window into the Mind K Mukherjee, H Huey, TT Rogers, JE Fan Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44), 2022 | | 2022 |
| Mapping a low-dimensional space of color-concept associations K Mukherjee, TT Rogers, L Lessard, M Gleicher, K Schloss Journal of Vision 21 (9), 2788-2788, 2021 | | 2021 |
| How does task structure shape representations in deep neural networks? K Mukherjee, TT Rogers NeurIPS 2020 Workshop SVRHM, 2020 | | 2020 |
Timothy T. RogersProfessor of Psychology, University of Wisconsin-MadisonDirección de correo verificada de wisc.edu
