All Publications
2015
“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
“Intelligent Information Loss: The Coding of Facial Identity, Head Pose, and Non-Face Information in the Macaque Face Patch System”, The Journal of Neuroscience , vol. 35, no. 18, 2015. ,
CBMM Funded
“Model-based Story Summary”, in 6th Workshop on Computational Models of Narrative, Atlanta, Georgia, 2015. ,
CBMM Related
CBMM Memo No.
033
“Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)”. 2015.
CBMM Memo 033.pdf (839.42 KB) ,

CBMM Funded
CBMM Memo No.
029
“On Invariance and Selectivity in Representation Learning”. 2015.
CBMM Memo No. 029 (812.07 KB) ,

CBMM Funded
CBMM Memo No.
028
“A Review of Relational Machine Learning for Knowledge Graphs: From Multi-Relational Link Prediction to Automated Knowledge Graph Construction”. 2015.
CBMM Memo No. 028 (878.56 KB) ,

CBMM Funded
CBMM Memo No.
037
“Notes on Hierarchical Splines, DCLNs and i-theory”. 2015.
CBMM Memo 037 (1.83 MB) ,

CBMM Funded
“Isolating angle in infants' detection of shape”. 2015.
SRCD_2015_Dillonetal.pdf (5.01 MB) ,

CBMM Funded
“Young children’s automatic and alternating use of scene and object information in spatial symbols.”, in Budapest CEU Conference on Cognitive Development, 2015. ,
CBMM Related
“Reorientation ability predicts early spatial symbol reading”, in 2015 Society for Research in Child Development Biennial Meeting, 2015. ,
CBMM Related
“Graph Approximation and Clustering on a Budget”, Artificial Intelligence and Statistics , vol. 38. 2015.
fetaya shamir Ullman 2015.pdf (664.26 KB) ,

CBMM Related
“Learning with a Wasserstein Loss”, in Advances in Neural Information Processing Systems (NIPS 2015) 28, 2015.
Learning with a Wasserstein Loss_1506.05439v2.pdf (2.57 MB) ,

CBMM Related
“Invariant representations for action recognition in the visual system”, Computational and Systems Neuroscience. 2015. ,
CBMM Funded
“Consciousness: here, there and everywhere?”, Phil. Trans. Roy Society B, vol. 370, 2015.
Tononi & Koch '15.pdf (1.87 MB) ,

CBMM Related
“Learning with Group Invariant Features: A Kernel Perspective”, in NIPS 2015, 2015.
LearningInvarianceKernel_NIPS2015.pdf (292.18 KB) ,

CBMM Related
“Learning with incremental iterative regularization”, in NIPS 2015, 2015.
Learning with Incremental Iterative Regularization_1405.0042v2.pdf (504.66 KB) ,

CBMM Related
“Less is More: Nyström Computational Regularization”, in NIPS 2015, 2015.
Less is More- Nystr ̈om Computational Regularization_1507.04717v4.pdf (287.14 KB) ,

CBMM Funded
“Invariant representations for action recognition in the visual system.”, Vision Sciences Society, vol. 15, no. 12. Journal of vision, 2015. ,
CBMM Funded
“Galileo: Perceiving physical object properties by integrating a physics engine with deep learning.”, in NIPS 2015, Montréal, Canada, 2015. ,
CBMM Funded
2014
“A framework for studying synaptic plasticity with neural spike train data”, in Neural Information Processing Systems, 2014.
5274-a-framework-for-studying-synaptic-plasticity-with-neural-spike-train-data.pdf (4.6 MB) ,

CBMM Related
“Is Research in Intelligence an Existential Risk?”. 2014.
Is Research in Intelligence an Existential Risk.pdf (571.42 KB) ,

CBMM Funded
CBMM Memo No.
026
“Representation Learning in Sensory Cortex: a theory.”. 2014.
CBMM-Memo-026_neuron_ver45.pdf (1.35 MB) ,

CBMM Funded