All Publications
2018
“Learning Mid-Level Auditory Codes from Natural Sound Statistics”, Neural Computation, vol. 30, no. 3, pp. 631-669, 2018. ,
CBMM Funded
“Co-occurrence statistics of natural sound features predict perceptual grouping”, Computational and Systems Neuroscience (COSYNE). Denver, Colorado, 2018. ,
CBMM Funded
“Human inference of force from impact sounds: Perceptual evidence for inverse physics”, Annual Meeting of the Acoustical Society, vol. 143, no. 3. 2018. ,
CBMM Related
“Learning Scene Gist with Convolutional Neural Networks to Improve Object Recognition”, arXiv | Cornell University, vol. arXiv:1803.01967, 2018. ,
CBMM Funded
CBMM Memo No.
076
“An analysis of training and generalization errors in shallow and deep networks”. 2018. CBMM-Memo-076.pdf (772.61 KB) CBMM-Memo-076v2.pdf (2.67 MB) ,
CBMM Funded
“Full interpretation of minimal images.”, Cognition, vol. 171, pp. 65-84, 2018. Full interpretation of minimal images.pdf (4.55 MB) ,
CBMM Funded
“A Natural Language Interface for Mobile Devices”, in The Wiley Handbook of Human Computer Interaction, First., vol. 2, John Wiley & Sons , 2018, pp. 539-559. ,
CBMM Funded
“Deep-learning tomography”, The Leading Edge, vol. 37, no. 1, pp. 58 - 66, 2018. TLE2018.pdf (1.9 MB) ,
CBMM Funded
“Full interpretation of minimal images”, Cognition, vol. 171, pp. 65 - 84, 2018. ,
CBMM Funded
“Brain-Observatory-Toolbox”. 2018. ,
CBMM Funded
“Constant Modulus Beamforming Via Low-Rank Approximation”, in 2018 IEEE Statistical Signal Processing Workshop (SSP), Freiburg im Breisgau, Germany, 2018. ,
CBMM Related
“End-to-end differentiable physics for learning and control”, Advances in Neural Information Processing Systems 31 (NIPS 2018). 2018. 7948-end-to-end-differentiable-physics-for-learning-and-control.pdf (794.17 KB) ,
“A computational perspective of the role of Thalamus in cognition”, arxiv, 2018. ThalamusComputationArxiv.pdf (5.12 MB) ,
CBMM Related
“A fast, invariant representation for human action in the visual system”, Journal of Neurophysiology, 2018. ,
CBMM Funded
“MEG action recognition data”. 2018. ,
CBMM Funded
CBMM Funded
“Co-occurrence statistics of natural sound features predict perceptual grouping”, Computational and Systems Neuroscience (Cosyne) 2018. 2018. ,
CBMM Funded
“Theory I: Deep networks and the curse of dimensionality”, Bulletin of the Polish Academy of Sciences: Technical Sciences, vol. 66, no. 6, 2018. 02_761-774_00966_Bpast.No_.66-6_28.12.18_K1.pdf (1.18 MB) ,
CBMM Funded
“Theory II: Deep learning and optimization”, Bulletin of the Polish Academy of Sciences: Technical Sciences, vol. 66, no. 6, 2018. 03_775-788_00920_Bpast.No_.66-6_31.12.18_K2.pdf (5.43 MB) ,
CBMM Funded
“Brain-Score: Which Artificial Neural Network for Object Recognition is most Brain-Like?”, bioRxiv preprint, 2018. Brain-Score bioRxiv.pdf (789.83 KB) ,
CBMM Related
“Comparing human and monkey neural circuits for processing social scenes”, Cognitive Neuroscience Society Annual Meeting (CNS), Boston, MA. 2018. ,
CBMM Funded
“Human recognition of environmental sounds is not always robust to reverberation”, Annual Meeting of the Acoustical Society, vol. 143, no. 3. 2018. ,
CBMM Related
“Visual Concepts and Compositional Voting”, Annals of Mathematical Sciences and Applications (AMSA), vol. 3, no. 1, pp. 151–188, 2018. ,
CBMM Funded
2017
“Infants make more attempts to achieve a goal when they see adults persist”, Science, vol. 357, no. 6357, pp. 1290 - 1294, 2017. ,
CBMM Funded
“Sustained Activity Encoding Working Memories: Not Fully Distributed”, Trends in Neurosciences , vol. 40 , no. 6, pp. 328-346, 2017. ,
CBMM Related