Daniel Yamins
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
7
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CogSci | Validating Generative Agent-Based Models of Social Norm Enforcement: From Replication to Novel Predictions. | Logan Matthew Cross, Nick Haber, Daniel Yamins |
| 2025 | Interspeech | Representing Speech Through Autoregressive Prediction of Cochlear Tokens. | Greta Tuckute, Klemen Kotar, Evelina Fedorenko, Daniel Yamins |
| 2024 | CogSci | Animate Agent World Modeling Benchmark. | Logan Matthew Cross, Violet Xiang, Nick Haber, Daniel Yamins |
| 2024 | CogSci | Probabilistic simulation supports generalizable intuitive physics. | Haoliang Wang, Khaled Jedoui, Rahul Mysore Venkatesh, Felix Jedidja Binder, Josh Tenenbaum, Judith E. Fan, Daniel Yamins, Kevin A. Smith |
| 2023 | CogSci | Measuring and Modeling Physical Intrinsic Motivation. | Julio Martinez, Felix Jedidja Binder, Haoliang Wang, Nick Haber, Judith E. Fan, Daniel Yamins |
| 2023 | CVPR | 3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes. | Haotian Xue, Antonio Torralba, Joshua B. Tenenbaum, Daniel Yamins, Yunzhu Li, Hsiao-Yu Tung |
| 2021 | ICLR | Conditional Negative Sampling for Contrastive Learning of Visual Representations. | Mike Wu, Milan Moss, Chengxu Zhuang, Daniel Yamins, Noah D. Goodman |
| 2020 | CVPR | Unsupervised Learning From Video With Deep Neural Embeddings. | Chengxu Zhuang, Tianwei She, Alex Andonian, Max Sobol Mark, Daniel Yamins |
| 2020 | ICML | Flexible and Efficient Long-Range Planning Through Curious Exploration. | Aidan Curtis, Minjian Xin, Dilip Arumugam, Kevin T. Feigelis, Daniel Yamins |
| 2020 | ICML | Active World Model Learning with Progress Curiosity. | Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber, Daniel Yamins |
| 2020 | ICML | Two Routes to Scalable Credit Assignment without Weight Symmetry. | Daniel Kunin, Aran Nayebi, Javier Sagastuy-Brea, Surya Ganguli, Jonathan M. Bloom, Daniel Yamins |
| 2020 | ICML | Visual Grounding of Learned Physical Models. | Yunzhu Li, Toru Lin, Kexin Yi, Daniel Bear, Daniel Yamins, Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba |
| 2019 | ICCV | Local Aggregation for Unsupervised Learning of Visual Embeddings. | Chengxu Zhuang, Alex Lin Zhai, Daniel Yamins |
| 2015 | CogSci | Common object representations for visual recognition and production. | Judith E. Fan, Daniel Yamins, Nicholas B. Turk-Browne |
| 2014 | SIGGRAPH | Mapping core similarity among visual objects across image modalities. | Judith E. Fan, Daniel Yamins, James J. DiCarlo, Nicholas B. Turk-Browne |
| 2013 | ICML | Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures. | James Bergstra, Daniel Yamins, David D. Cox |