All Publications

Submitted

L. Jing, Shen, Y., Dubček, T., Peurifoi, J., Skirlo, S., LeCun, Y., Tegmark, M., and Soljačić, M., “Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNN”. Submitted.PDF icon 1612.05231.pdf (2.3 MB)
CBMM Related
H. Lin and Tegmark, M., “Critical Behavior from Deep Dynamics: A Hidden Dimension in Natural Language”, Submitted.PDF icon Critical Behavior from Deep Dynamics: A Hidden Dimension in Natural Language (1.64 MB)
CBMM Related

In Press

Z. Zhang, Xie, C., Wang, J., Xie, L., and Yuille, A., “DeepVoting: An Explainable Framework for Semantic Part Detection under Partial Occlusion”, in Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, In Press.
CBMM Funded
Z. Zhang, Qiao, S., Xie, C., Shen, W., Wang, B., and Yuille, A., “Single-Shot Object Detection with Enriched Semantics”, in Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, In Press.
CBMM Funded
G. Ben-Yosef and Ullman, S., “Image interpretation above and below the object level”, Proceedings of the Royal Society: Interface Focus, In Press.PDF icon 2018-BenYosef_Ullman-Image_interpretation_above_and_below the object_level.pdf (3.26 MB)
CBMM Funded
Y. Berzak, Katz, B., and Levy, R., “Assessing Language Proficiency from Eye Movements in Reading”, 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. New Orleans, In Press.PDF icon 1804.07329.pdf (350.43 KB)
CBMM Funded
W. Eric, Kevin, W., and Gabriel, K., “Learning scene gist with convolutional neural networks to improve object recognition”, IEEE Information Sciences and Systems - CISS 2018. Princeton, NJ, In Press.
CBMM Funded
T. Gerstenberg, Ullman, T. D., Nagel, J., Kleiman-Weiner, M., Lagnado, D. A., and Tenenbaum, J. B., “Lucky or clever? From changed expectations to attributions of responsibility”, Cognition, In Press.
CBMM Funded
L. Isik, Singer, J., Kanwisher, N., ,, WS, A., and Kreiman, G., “What is changing when: decoding visual information in movies from human intracranial recordings”, NeuroImage, In Press.PDF icon Human neurophysiological responses during movies (2.78 MB)
CBMM Funded
A. J. E. Kell, Yamins, D. L. K., Shook, E. N., Norman-Haignere, S. V., and McDermott, J. H., “A task-optimized neural network replicates human auditory behavior, predicts brain responses, and reveals a cortical processing hierarchy”, Neuron, vol. 98, In Press.
CBMM Related
W. Mlynarski and Hermundstad, A. M., “Adaptive Coding for Dynamic Sensory Inference”, eLife, In Press.
CBMM Funded
A. Palepu and Kreiman, G., “Development of automated interictal spike detector”, 40th International Conference of the IEEE Engineering in Medicine and Biology Society - EMBC 2018. Honolulu, HI, In Press.
CBMM Funded
J. Sliwa, Marvel, S. R., Ianni, G. A., and Freiwald, W. A., “Comparing human and monkey neural circuits for processing social scenes”, Organization for Computational Neurosciences - CNS 2018. Seattle, WA, In Press.
CBMM Related

2018

T. D. Ullman, Stuhlmüller, A., Goodman, N. D., and Tenenebaum, J. B., “Learning physical parameters from dynamic scenes.”, Cognitive Psychology, vol. 104, pp. 57-82, 2018.PDF icon T-Ullman-etal_CogPsych_LearningPhysicalParametersFromDynamicScenes.pdf (3.15 MB)
CBMM Funded
R. Saxe, “Imaging the infant brain”, Japanese Society for Neuroscience, vol. Kobe Japan. 2018.
CBMM Related
CBMM Memo No.
085
W. Shen, Guo, Y., Wang, Y., Zhao, K., Wang, B., and Yuille, A. L., “Deep Regression Forests for Age Estimation”. 2018.PDF icon CBMM-Memo-085.pdf (2.2 MB)
CBMM Funded
CBMM Memo No.
084
Z. Zhang, Qiao, S., Xie, C., Shen, W., Wang, B., and Yuille, A. L., “Single-Shot Object Detection with Enriched Semantics”. 2018.PDF icon CBMM-Memo-084.pdf (1.92 MB)
CBMM Funded
CBMM Memo No.
083
Z. Zhang, Xie, C., Wang, J., Xie, L., and Yuill, A. L., “DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection under Partial Occlusion”. 2018.PDF icon CBMM-Memo-083.pdf (2.32 MB)
CBMM Funded
CBMM Memo No.
089
G. Ben-Yosef and Ullman, S., “Image interpretation above and below the object level”. 2018.PDF icon CBMM-Memo-089.pdf (2.06 MB)
CBMM Funded
CBMM Memo No.
088
A. L. Yuille and Liu, C., “Deep Nets: What have they ever done for Vision?”. 2018.PDF icon CBMM-Memo-088.pdf (7.88 MB)
CBMM Funded
CBMM Memo No.
082
Y. - S. Wang, Liu, C., Zeng, X., and Yuille, A. L., “Scene Graph Parsing as Dependency Parsing”. 2018.PDF icon CBMM-Memo-082.pdf (869 KB)
CBMM Funded
CBMM Memo No.
079
C. Liu, Lin, Z., Shen, X., Yang, J., Lu, X., and Yuille, A. L., “Recurrent Multimodal Interaction for Referring Image Segmentation”. 2018.PDF icon CBMM-Memo-079.pdf (10.16 MB)
CBMM Funded
J. Sliwa, Marvel, S. R., Ianni, G. A., and Freiwald, W. A., “Comparing human and monkey neural circuits for processing social scenes”, Social & Affective Neuroscience Society (SANS). Brooklyn, NY , 2018.
CBMM Related
CBMM Memo No.
077
A. Adler and Wax, M., “Constant Modulus Algorithms via Low-Rank Approximation”. 2018.PDF icon CBMM-Memo-077.pdf (795.61 KB)
CBMM Funded
D. Harari, Tenenabum, J. B., and Ullman, S., “Discovery and usage of joint attention in images”, arXiv.org, 2018.PDF icon 1804.04604v1.pdf (488.85 KB)
CBMM Funded