Export 805 results:
Scene Graph Parsing as Dependency Parsing. (2018). CBMM-Memo-082.pdf (869 KB)
Searching for visual features that explain response variance of face neurons in inferior temporal cortex. PLOS ONE 13, e0201192 (2018).
Shared gene co-expression networks in autism from induced pluripotent stem cell (iPSC) neurons. BioRxiv (2018). doi:10.1101/349415
Single units in a deep neural network functionally correspond with neurons in the brain: preliminary results. (2018). CBMM-Memo-093.pdf (2.99 MB)
Single-Shot Object Detection with Enriched Semantics. Conference on Computer Vision and Pattern Recognition (CVPR) (2018). at <http://cvpr2018.thecvf.com/>
Single-Shot Object Detection with Enriched Semantics. (2018). CBMM-Memo-084.pdf (1.92 MB)
Spatiotemporal interpretation features in the recognition of dynamic images. (2018). CBMM-Memo-094.pdf (1.21 MB) CBMM-Memo-094-dynamic-figures.zip (1.8 MB) fig1.ppsx (147.67 KB) fig2.ppsx (419.72 KB) fig4.ppsx (673.41 KB) figS1.ppsx (587.88 KB) figS2.ppsx (281.56 KB)
The statistical shape of geometric reasoning. Scientific Reports 8, (2018).
A task-optimized neural network replicates human auditory behavior, predicts brain responses, and reveals a cortical processing hierarchy. Neuron 98, (2018).
Theory I: Deep networks and the curse of dimensionality. Bulletin of the Polish Academy of Sciences: Technical Sciences 66, (2018). 02_761-774_00966_Bpast.No_.66-6_28.12.18_K1.pdf (1.18 MB)
Theory II: Deep learning and optimization. Bulletin of the Polish Academy of Sciences: Technical Sciences 66, (2018). 03_775-788_00920_Bpast.No_.66-6_31.12.18_K2.pdf (5.43 MB)
Theory III: Dynamics and Generalization in Deep Networks. (2018). Original, intermediate versions are available under request (2.67 MB) CBMM Memo 90 v12.pdf (4.74 MB) Theory_III_ver44.pdf Update Hessian (4.12 MB) Theory_III_ver48 (Updated discussion of convergence to max margin) (2.56 MB) fixing errors and sharpening some proofs (2.45 MB)
Third-Party Preferences for Imitators in Preverbal Infants. Open Mind 2, 61 - 71 (2018).
Trading robust representations for sample complexity through self-supervised visual experience. Advances in Neural Information Processing Systems 31 ( ) 9640–9650 (Curran Associates, Inc., 2018). at <http://papers.nips.cc/paper/8170-trading-robust-representations-for-sample-complexity-through-self-supervised-visual-experience.pdf> trading-robust-representations-for-sample-complexity-through-self-supervised-visual-experience.pdf (3.32 MB) NeurIPS2018_Poster.pdf (6.12 MB)
Visual concepts and compositional voting. (2018). CBMM-Memo-087.pdf (3.37 MB)
Visual Concepts and Compositional Voting. Annals of Mathematical Sciences and Applications (AMSA) 3, 151–188 (2018).
What am I searching for?. (2018). CBMM-Memo-096.pdf (1.74 MB)
What is changing when: decoding visual information in movies from human intracranial recordings. NeuroImage 180, Part A, 147-159 (2018). Human neurophysiological responses during movies (2.78 MB)
Active Video Summarization: Customized Summaries via On-line Interaction. AAAI Conference on Artificial Intelligence (2017). 21-Garcia-del-Molino-14856.pdf (413.77 KB)
Adaptive Compression of Statistically Homogenous Sensory Signals. Computational and Systems Neuroscience (COSYNE) (2017).
Attention Correctness in Neural Image Captioning. AAAI 2017 (2017). 1605.09553.pdf (2.22 MB)
Auditory Perception of Material and Force from Impact Sounds. Annual Meeting of Association for Research in Otolaryngology (2017).
A Balanced Comparison of Object Invariances in Monkey IT Neurons. eneuro 4, ENEURO.0333-16.2017 (2017).
Building machines that learn and think like people. Behavioral and Brain Sciences 40, e253 (2017).