Publication
Partially Occluded Hands: A challenging new dataset for single-image hand pose estimation. The 14th Asian Conference on Computer Vision (ACCV 2018) (2018). at <http://accv2018.net/>
partially-occluded-hands-6.pdf (8.29 MB)
Partially Occluded Hands: A challenging new dataset for single-image hand pose estimation. (2018).
CBMM-Memo-097.pdf (8.53 MB)
cnpkg: 3-D Convolutional Network Package for CNS. (2012).
cnpkg.tar (50 KB)
CNS (“Cortical Network Simulator”): a GPU-based framework for simulating cortically-organized networks. (2010).
cns.tar (1.46 MB)
MIT-CSAIL-TR-2010-013.pdf (389.38 KB)
(last version before switch to classdef syntax) (1.05 MB)
HMAX Package for CNS. (2012).
hmax.tar (210 KB)
Computational and Cognitive Neuroscience of Vision 85-104 (Springer, 2017).
hmin: A Minimal HMAX Implementation. (2010).
Dynamics of 3D view invariance in monkey inferotemporal cortex. Journal of Neurophysiology 11319212373232821, 2180 - 2194 (2015).
Computational models of category-selective brain regions enable high-throughput tests of selectivity. Nature Communications 12, (2021).
s41467-021-25409-6.pdf (6.47 MB)
Effect of silhouetting and inversion on view invariance in the monkey inferotemporal cortex. Journal of Neurophysiology 11823, 353 - 362 (2017).
A Balanced Comparison of Object Invariances in Monkey IT Neurons. eneuro 4, ENEURO.0333-16.2017 (2017).
To What Extent Does Global Shape Influence Category Representation in the Brain?. Journal of Neuroscience 36, 4149 - 4151 (2016).
Seeing a straight line on a curved surface: decoupling of patterns from surfaces by single IT neurons. Journal of Neurophysiology 11773, 104 - 116 (2017).
Brain-Observatory-Toolbox. (2018).
Beating SGD Saturation with Tail-Averaging and Minibatching. Neural Information Processing Systems (NeurIPS 2019) (2019).
9422-beating-sgd-saturation-with-tail-averaging-and-minibatching.pdf (389.35 KB)
Learning with Group Invariant Features: A Kernel Perspective. NIPS 2015 (2015). at <https://papers.nips.cc/paper/5798-learning-with-group-invariant-features-a-kernel-perspective>
LearningInvarianceKernel_NIPS2015.pdf (292.18 KB)
Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding. (2014).
CBMM-Memo-020.pdf (1.89 MB)
Single neuron studies of the human brain. Probing cognition (2014).
Group Invariant Deep Representations for Image Instance Retrieval. (2016).
CBMM-Memo-043.pdf (2.66 MB)
Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval. arXiv.org (2016). at <https://arxiv.org/abs/1603.04595>
1603.04595.pdf (2.9 MB)
Learning to Answer Questions from Wikipedia Infoboxes. The 2016 Conference on Empirical Methods on Natural Language Processing (EMNLP 2016) (2016).
Morales-EMNLP2016.pdf (197.28 KB)
Assumption violations in causal discovery and the robustness of score matching. 37th Conference on Neural Information Processing Systems (NeurIPS 2023) (2024). at <https://proceedings.neurips.cc/paper_files/paper/2023/file/93ed74938a54a73b5e4c52bbaf42ca8e-Paper-Conference.pdf>
Scalable Causal Discovery with Score Matching. NeurIPS 2022 (2022). at <https://openreview.net/forum?id=v56PHv_W2A>
Learning Mid-Level Auditory Codes from Natural Sound Statistics. Neural Computation 30, 631-669 (2018).
Learning mid-level codes for natural sounds. Computational and Systems Neuroscience (Cosyne) 2016 (2016). at <http://www.cosyne.org/c/index.php?title=Cosyne2016_posters_2>
Wiktor_COSYNE_2015_hierarchy_final.pdf (2.52 MB)
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