All Publications
2016
“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 , vol. 1(3): e0150980, 2016.
journal.pone_.0150980.PDF (384.15 KB) ,

CBMM Funded
“Learning mid-level codes for natural sounds”, Computational and Systems Neuroscience (Cosyne) 2016. Salt Lake City, UT, 2016.
Wiktor_COSYNE_2015_hierarchy_final.pdf (2.52 MB) ,

CBMM Funded
CBMM Memo No.
044
“Foveation-based Mechanisms Alleviate Adversarial Examples”. 2016.
cbmm_memo_044.pdf (11.48 MB) ,

CBMM Funded
CBMM Memo No.
043
“Group Invariant Deep Representations for Image Instance Retrieval”. 2016.
CBMM-Memo-043.pdf (2.66 MB) ,

CBMM Funded
CBMM Memo No.
042
“Fast, invariant representation for human action in the visual system”. 2016.
CBMM Memo 042 (3.03 MB) ,

CBMM Funded
“Deep vs. shallow networks: An approximation theory perspective”, Analysis and Applications, vol. 14, no. 06, pp. 829 - 848, 2016. ,
CBMM Funded
“Introduction Special issue: Deep learning”, Information and Inference, vol. 5, pp. 103-104, 2016. ,
CBMM Funded
“How Important Is Weight Symmetry in Backpropagation?”, in Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), Phoenix, AZ., 2016. ,
CBMM Funded
“Holographic Embeddings of Knowledge Graphs”, in Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), Phoenix, Arizona, USA, 2016.
1510.04935v2.pdf (360.65 KB) ,

CBMM Funded
“Individual differences in face-looking behavior generalize from the lab to the world.”, Journal of Vision, 2016. ,
CBMM Funded
CBMM Funded
“Object and Scene Perception”, in From Neuron to Cognition via Computational Neuroscience, Cambridge, MA, USA: The MIT Press, 2016. ,
CBMM Funded
2015
CBMM Memo No.
041
“I-theory on depth vs width: hierarchical function composition”. 2015.
cbmm_memo_041.pdf (1.18 MB) ,

CBMM Funded
“Metareasoning in Symbolic Domains”, in NIPS Workshop | Bounded Optimality and Rational Metareasoning, 2015.
metareasoning_submitted.pdf (491.95 KB) ,

CBMM Funded
“Scene-Domain Active Part Models for Object Representation”, IEEE International Conference on Computer Vision (ICCV) . Santiago, Chile, pp. 2497 - 2505 , 2015.
Ren_ICCV15.pdf (3.37 MB) ,

CBMM Funded
CBMM Memo No.
036
“How Important is Weight Symmetry in Backpropagation?”. 2015.
1510.05067v3.pdf (615.32 KB) ,

CBMM Funded
CBMM Memo No.
039
“Holographic Embeddings of Knowledge Graphs”. 2015.
holographic-embeddings.pdf (677.87 KB) ,

CBMM Funded
“The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex”, PLOS Computational Biology, vol. 11, no. 10, p. e1004390, 2015.
journal.pcbi_.1004390.pdf (2.04 MB) ,

CBMM Funded
“Discriminative Template Learning in Group-Convolutional Networks for Invariant Speech Representations”, in INTERSPEECH-2015, Dresden, Germany, 2015. ,
CBMM Funded
“How, whether, why: Causal judgments as counterfactual contrasts”, Annual Meeting of the Cognitive Science Society (CogSci). Pasadena, CA, pp. 782-787, 2015.
GerstenbergEtAl2015-Cogsci.pdf (2.16 MB) ,

CBMM Funded
“The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex”. 2015.
modularity_dataset_ver1.tar.gz (36.14 MB) ,

CBMM Funded
“Unsupervised learning of invariant representations”, Theoretical Computer Science, 2015. ,
CBMM Related
CBMM Memo No.
035
“Deep Convolutional Networks are Hierarchical Kernel Machines”. 2015.
CBMM Memo 035_rev5.pdf (975.65 KB) ,

CBMM Funded
CBMM Memo No.
031
“Complexity of Representation and Inference in Compositional Models with Part Sharing”. 2015.
CBMM Memo 031.pdf (1.14 MB) ,

CBMM Funded