Publications
2018
2017
Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review." International Journal of Automation and Computing (2017): 1-17. "
View-tolerant face recognition and Hebbian learning imply mirror-symmetric neural tuning to head orientation." Current Biology 27 (2017): 1-6. "
On the Human Visual System Invariance to Translation and Scale." In Vision Sciences Society., 2017. "
Eccentricity Dependent Deep Neural Networks for Modeling Human Vision." In Vision Sciences Society., 2017. "
Eccentricity Dependent Deep Neural Networks: Modeling Invariance in Human Vision." In AAAI Spring Symposium Series, Science of Intelligence., 2017. "
Is the Human Visual System Invariant to Translation and Scale?" In AAAI Spring Symposium Series, Science of Intelligence., 2017. "
Invariant Recognition Predicts Tuning of Neurons in Sensory Cortex." In Computational and Cognitive Neuroscience of Vision, 85-104. Springer, 2017. "
2016
Holographic Embeddings of Knowledge Graphs." In Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16). Phoenix, Arizona, USA, 2016. "
Deep Learning: Mathematics and Neuroscience." A Sponsored Supplement to Science Brain-Inspired intelligent robotics: The intersection of robotics and neuroscience (2016): 9-12. "
Why and When Can Deep - but Not Shallow - Networks Avoid the Curse of Dimensionality: a Review., 2016.
CBMM Memo No.
58
CBMM Memo No.
57
CBMM Memo No.
54
On invariance and selectivity in representation learning." Information and Inference: A Journal of the IMA (2016): iaw009. "
Turing++ Questions: A Test for the Science of (Human) Intelligence." AI Magazine 37, no. 1 (2016): 73-77. "
Neural Tuning Size in a Model of Primate Visual Processing Accounts for Three Key Markers of Holistic Face Processing." Public Library of Science | PLoS ONE 1(3): e0150980 (2016). "
CBMM Memo No.
43
CBMM Memo No.
42
CBMM Memo No.
44
CBMM Memo No.
45
CBMM Memo No.
47
How Important Is Weight Symmetry in Backpropagation?" In Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16). Phoenix, AZ., 2016. "
Introduction Special issue: Deep learning." Information and Inference 5 (2016): 103-104. "
Object and Scene Perception." In From Neuron to Cognition via Computational Neuroscience. Cambridge, MA, USA: The MIT Press, 2016. "
Visual Cortex and Deep Networks: Learning Invariant Representations. Cambridge, MA, USA: The MIT Press, 2016.
2015
CBMM Memo No.
41
CBMM Memo No.
36
CBMM Memo No.
39
Discriminative Template Learning in Group-Convolutional Networks for Invariant Speech Representations." In INTERSPEECH 2015. Dresden, Germany, 2015. "
CBMM Memo No.
35
CBMM Memo No.
29
CBMM Memo No.
37
CBMM Memo No.
28
“The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex”." PLOS Computational Biology, 11 (2015). "
Learning with Group Invariant Features: A Kernel Perspective." In NIPS 2015., 2015. "
What If...., 2015.
A Science of Intelligence., 2015.
2014
CBMM Memo No.
26
Speech Representations based on a Theory for Learning Invariances." In SANE 2014 - Speech and Audio in the Northeast., 2014. "
CBMM Memo No.
23
CBMM Memo No.
22
CBMM Memo No.
21
CBMM Memo No.
17
Machine-learning Based Automated Fault Detection in Seismic Traces ∗." In EAGE Conference and Exhibition 2014., 2014. "
A Deep Representation for Invariance And Music Classification." In ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing. Florence, Italy, 2014. "
CBMM Memo No.
4
CBMM Memo No.
3
Unsupervised learning of invariant representations with low sample complexity: the magic of sensory cortex or a new framework for machine learning?" Theoretical Computer Science (2014). "
Learning invariant representations and applications to face verification." In NIPS 2013. Lake Tahoe, Nevada, 2014. "
The dynamics of invariant object recognition in the human visual system." Journal of Neurophysiology 111, no. 1 (2014). "
Subtasks of Unconstrained Face Recognition." In 9th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. (VISAPP). Lisbon, Portugal, 2014. "
CBMM Memo No.
26
Phone Classification by a Hierarchy of Invariant Representation Layers." In INTERSPEECH 2014 - 15th Annual Conf. of the International Speech Communication Association. Singapore, 2014. "
Word-level Invariant Representations From Acoustic Waveforms." In INTERSPEECH 2014 - 15th Annual Conf. of the International Speech Communication Association., 2014. "
CBMM Memo No.
25
2013
The neural decoding toolbox." (2013). "
q-ary Compressive Sensing., 2013.
Models of visual cortex., 2013.