Daniel L. K. Yamins
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
6
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCV | Weakly-Supervised Learning of Dense Functional Correspondences. | Stefan Stojanov, Linan Zhao, Yunzhi Zhang, Daniel L. K. Yamins, Jiajun Wu |
| 2025 | ICLR | Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models. | Logan Matthew Cross, Violet Xiang, Agam Bhatia, Daniel L. K. Yamins, Nick Haber |
| 2024 | ECCV | Understanding Physical Dynamics with Counterfactual World Modeling. | Rahul Mysore Venkatesh, Honglin Chen, Kevin T. Feigelis, Daniel M. Bear, Khaled Jedoui, Klemen Kotar, Felix J. Binder, Wanhee Lee, Sherry Liu, Kevin A. Smith, Judith E. Fan, Daniel L. K. Yamins |
| 2023 | CogSci | Advancing Cognitive Science and AI with Cognitive-AI Benchmarking. | Felix Jedidja Binder, Logan Matthew Cross, Yoni Friedman, Robert D. Hawkins, Daniel L. K. Yamins, Judith E. Fan |
| 2023 | CogSci | Developmental Curiosity and Social Interaction in Virtual Agents. | Chris Doyle, Sarah Shader, Michelle Lau, Megumi Sano, Daniel L. K. Yamins, Nick Haber |
| 2022 | CHI | FAR: End-to-End Vibrotactile Distributed System Designed to Facilitate Affect Regulation in Children Diagnosed with Autism Spectrum Disorder Through Slow Breathing. | Pardis Miri, Mehul Arora, Aman Malhotra, Robert Flory, Stephanie Hu, Ashley Lowber, Ishan Goyal, Jacqueline Nguyen, John P. Hegarty, Marlo D. Kohn, David Schneider, Heather Culbertson, Daniel L. K. Yamins, Lawrence Fung, Antonio Hardan, James J. Gross, Keith Marzullo |
| 2022 | ECCV | Unsupervised Segmentation in Real-World Images via Spelke Object Inference. | Honglin Chen, Rahul Mysore Venkatesh, Yoni Friedman, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins, Daniel M. Bear |
| 2022 | ICRA | The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark Towards Physically Realistic Embodied AI. | Chuang Gan, Siyuan Zhou, Jeremy Schwartz, Seth Alter, Abhishek Bhandwaldar, Dan Gutfreund, Daniel L. K. Yamins, James J. DiCarlo, Josh H. McDermott, Antonio Torralba, Joshua B. Tenenbaum |
| 2021 | CogSci | Measuring and predicting variation in the interestingness of physical structures. | Cameron Holdaway, Daniel M. Bear, Samaher Radwan, Michael C. Frank, Daniel L. K. Yamins, Judith E. Fan |
| 2021 | CogSci | Predicting children's and adults' preferences in physical interactions via physics simulation. | George Kachergis, Samaher Radwan, Bria Long, Judith E. Fan, Michael Lingelbach, Daniel M. Bear, Daniel L. K. Yamins, Michael C. Frank |
| 2021 | ICLR | Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics. | Daniel Kunin, Javier Sagastuy-Brea, Surya Ganguli, Daniel L. K. Yamins, Hidenori Tanaka |
| 2020 | CogSci | Learning in Social Environments with Curious Neural Agents. | Megumi Sano, Julian De Freitas, Nick Haber, Daniel L. K. Yamins |
| 2018 | CogSci | Emergence of Structured Behaviors from Curiosity-Based Intrinsic Motivation. | Nick Haber, Damian Mrowca, Li Fei-Fei, Daniel L. K. Yamins |
| 2018 | ICLR | Modular Continual Learning in a Unified Visual Environment. | Kevin T. Feigelis, Blue Sheffer, Daniel L. K. Yamins |