Publication
Found 120 results
Author Title Type [ Year
] Filters: First Letter Of Last Name is H [Clear All Filters]
The Aligned Multimodal Movie Treebank: An audio, video, dependency-parse treebank. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (2022).
Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks. International Conference on Learning Representations (ICLR) (2022). at <https://openreview.net/forum?id=yeP_zx9vqNm>
Lecture Notes in Computer ScienceComputer Vision – ECCV 2022Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models. 13697, 638 - 656 (Springer Nature Switzerland, 2022).
Reasoning about the antecedents of emotions: Bayesian causal inference over an intuitive theory of mind. Proceedings of the Annual Conference of the Cognitive Science Society 44, 854-861 (2022).
Houlihan 2022 Proceedings of the 44th Annual Conference of the Cognitive Science Society.pdf (687.98 KB)
Houlihan 2022 Proceedings of the 44th Annual Conference of the Cognitive Science Society.pdf (687.98 KB) Robust Feature-Level Adversaries are Interpretability Tools. NeurIPS (2022). at <https://openreview.net/forum?id=lQ--doSB2o> 8789_robust_feature_level_adversari.pdf (3.79 MB)
8789_robust_feature_level_adversari.pdf (3.79 MB) System identification of neural systems: If we got it right, would we know?. (2022). CBMM-Memo-136.pdf (1.75 MB)
CBMM-Memo-136.pdf (1.75 MB) Trajectory Prediction with Linguistic Representations. (2022). CBMM-Memo-132.pdf (1.15 MB)
CBMM-Memo-132.pdf (1.15 MB) Trajectory Prediction with Linguistic Representations. 2022 IEEE International Conference on Robotics and Automation (ICRA) (2022). doi:10.1109/ICRA46639.2022.9811928
When and how convolutional neural networks generalize to out-of-distribution category–viewpoint combinations. Nature Machine Intelligence 4, 146 - 153 (2022).
When and how convolutional neural networks generalize to out-of-distribution category–viewpoint combinations. Nature Machine Intelligence 4, 146 - 153 (2022).
An adversarial collaboration protocol for testing contrasting predictions of global neuronal workspace and integrated information theory. PLOS ONE 18, e0268577 (2023). journal.pone_.0268577.pdf (1.99 MB)
journal.pone_.0268577.pdf (1.99 MB) An adversarial collaboration to critically evaluate theories of consciousness. bioRxiv (2023). doi:https://doi.org/10.1101/2023.06.23.546249
An adversarial collaboration to critically evaluate theories of consciousness. bioRxiv (2023). doi:https://doi.org/10.1101/2023.06.23.546249
An adversarial collaboration to critically evaluate theories of consciousness. bioRxiv (2023). doi:https://doi.org/10.1101/2023.06.23.546249
Catalyzing next-generation Artificial Intelligence through NeuroAIAbstract. Nature Communications 14, (2023).
Emotion prediction as computation over a generative theory of mind. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 381, (2023). houlihan2023computedappraisals.pdf (2.37 MB)
houlihan2023computedappraisals.pdf (2.37 MB) Emotion prediction as computation over a generative theory of mind. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 381, (2023). houlihan2023computedappraisals.pdf (2.37 MB)
houlihan2023computedappraisals.pdf (2.37 MB) System Identification of Neural Systems: If We Got It Right, Would We Know?. Proceedings of the 40th International Conference on Machine Learning, PMLR 202, 12430-12444 (2023). han23d.pdf (797.48 KB)
han23d.pdf (797.48 KB) How does the primate brain combine generative and discriminative computations in vision?. arXiv (2024). at <https://arxiv.org/abs/2401.06005>
Self-Assembly of a Biologically Plausible Learning Circuit. (2024). CBMM-Memo-152.pdf (1.84 MB)
CBMM-Memo-152.pdf (1.84 MB)