All Publications

2020

N. Zaslavsky, Hu, J., and Levy, R., “Emergence of Pragmatic Reasoning From Least-Effort Optimization ”, in 13th International Conference on the Evolution of Language (EvoLang) , The conference was canceled due to Covid-19, 2020.
CBMM Funded
I. Yildirim, Belledonne, M., Freiwald, W. A., and Tenenbaum, J. B., “Efficient inverse graphics in biological face processing”, Science Advances, vol. 6, no. 10, p. eaax5979, 2020.PDF icon eaax5979.full_.pdf (3.22 MB)
CBMM Funded
D. Kim, McMahon, E., Mehr, S., Nakayama, K., Spelke, E. S., and Vaziri-Pashkam, M., “The ability to predict actions of others from distributed cues is still developing in children”, PsyArXiv Preprints, 2020.PDF icon Action_prediction_in_children.pdf (427.84 KB)
CBMM Funded
CBMM Memo No.
125
Y. - L. Kuo, Katz, B., and Barbu, A., “Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas”. 2020.PDF icon CBMM-Memo-125.pdf (2.12 MB)
CBMM Funded
CBMM Memo No.
124
Y. - L. Kuo, Katz, B., and Barbu, A., “Deep compositional robotic planners that follow natural language commands”. 2020.PDF icon CBMM-Memo-124.pdf (1.03 MB)
CBMM Funded
Y. - L. Kuo, Katz, B., and Barbu, A., “Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas”, in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA, 2020.
CBMM Funded

2019

Y. - L. Kuo, Katz, B., and Barbu, A., “Deep Compositional Robotic Planners that Follow Natural Language Commands.”, Workshop on Visually Grounded Interaction and Language (ViGIL) at the Thirty-third Annual Conference on Neural Information Processing Systems (NeurIPS). Vancouver Convention Centre, Vancouver, Canada, 2019.
CBMM Funded
C. Ross, Berzak, Y., Katz, B., and Barbu, A., “Learning Language from Vision.”, in Workshop on Visually Grounded Interaction and Language (ViGIL) at the Thirty-third Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver Convention Center, Vancouver, Canada, 2019.
CBMM Funded
K. Ellis, Nye, M., Pu, Y., Sosa, F., Tenenbaum, J. B., and Solar-Lezama, A., “Write, Execute, Assess: Program Synthesis with a REPL”, Neural Information Processing Systems (NeurIPS 2019). Vancouver, Canada, 2019.PDF icon 9116-write-execute-assess-program-synthesis-with-a-repl.pdf (3.9 MB)
CBMM Funded
C. Han, Mao, J., Gan, C., Tenenbaum, J. B., and Wu, J., “Visual Concept-Metaconcept Learning”, Neural Information Processing Systems (NeurIPS 2019). Vancouver, Canada, 2019.PDF icon 8745-visual-concept-metaconcept-learning.pdf (1.92 MB)
CBMM Funded
K. A. Smith, Mei, L., Yao, S., Wu, J., Spelke, E. S., Tenenbaum, J. B., and Ullman, T. D., “Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations”, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019). Vancouver, Canada, 2019.PDF icon ADEPT_NeurIPS.pdf (11.07 MB)
CBMM Funded
S. J. Gershman, “The Generative Adversarial Brain”, Frontiers in Artificial Intelligence, vol. 2, 2019.
CBMM Related
CBMM Memo No.
101
H. Sanders, Wilson, M. A., and Gershman, S. J., “Hippocampal Remapping as Hidden State Inference”. 2019.PDF icon CBMM-Memo-101.pdf (12.78 MB)
CBMM Funded
A. Adler and Wax, M., “Direct Localization by Partly Calibrated Arrays: A Relaxed Maximum Likelihood Solution”, in 27th European Signal Processing Conference, EUSIPCO 2019, A Coruna, Spain, 2019.
CBMM Funded
J. Chu, Gauthier, J., Levy, R., Tenenbaum, J. B., and Schulz, L., “Query-guided visual search ”, in 41st Annual conference of the Cognitive Science Society, Montreal, Québec, Canada, 2019.
CBMM Funded
M. Kryven, Scholl, B., and Tenenbaum, J. B., “ Does intuitive inference of physical stability interruptattention?”, Cognitive Sciences Society. 2019.
CBMM Funded
M. Kryven, Niemi, L., Paul, L., and Tenenbaum, J. B., “Choosing a Transformative Experience ”, Cognitive Sciences Society. 2019.
CBMM Funded
A. Barbu, Banda, D., and Katz, B., “Deep video-to-video transformations for accessibility with an application to photosensitivity”, Pattern Recognition Letters, 2019.
CBMM Funded
J. Serrino, Kleiman-Weiner, M., Parkes, D. C., and Tenenbaum, J. B., “Finding Friend and Foe in Multi-Agent Games”, Neural Information Processing Systems (NeurIPS 2019). Vancouver, Canada, 2019.PDF icon Max KW paper.pdf (928.96 KB)
CBMM Funded
M. A. P. Idiart, Villavicencio, A., Katz, B., Rennó-Costa, C., and Lisman, J., “How Does the Brain Represents Language and Answers Questions? Using an AI System to Understand the Underlying Neurobiological Mechanisms”, Frontiers in Computational Neuroscience, vol. 13, 2019.
CBMM Funded
A. Adler and Wax, M., “Blind Constant Modulus Multiuser Detection via Low-Rank Approximation”, IEEE Signal Processing Letters, pp. 1 - 1, 2019.
CBMM Funded
S. Srivastava, Ben-Yosef, G., and Boix, X., “Minimal images in deep neural networks: Fragile Object Recognition in Natural Images”, in International Conference on Learning Representations (ICLR), New Orleans, La, 2019.
CBMM Funded

2018

B. Myanganbayar, Mata, C., Dekel, G., Katz, B., Ben-Yosef, G., and Barbu, A., “Partially Occluded Hands: A challenging new dataset for single-image hand pose estimation”, in The 14th Asian Conference on Computer Vision (ACCV 2018), 2018.PDF icon partially-occluded-hands-6.pdf (8.29 MB)
CBMM Funded
Y. - L. Kuo, Barbu, A., and Katz, B., “Deep sequential models for sampling-based planning”, in The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), Madrid, Spain, 2018.PDF icon kuo2018planning.pdf (637.67 KB)
CBMM Funded
C. Ross, Barbu, A., Berzak, Y., Myanganbayar, B., and Katz, B., “Grounding language acquisition by training semantic parsersusing captioned videos”, in Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), , Brussels, Belgium, 2018.PDF icon Ross-et-al_ACL2018_Grounding language acquisition by training semantic parsing using caption videos.pdf (3.5 MB)
CBMM Funded

Pages