Publication
] Lossy Compression of Uninformative Stimuli in the Auditory System. Association for Otolaryngology Mid-Winter Meeting (2017).
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)
Wiktor_COSYNE_2015_hierarchy_final.pdf (2.52 MB) Learning Mid-Level Codes for Natural Sounds. Association for Otolaryngology Mid-Winter Meeting (2017).
Lossy Compression of Sound Texture by the Human Auditory System. Society for Neuroscience Meeting (2016).
Co-occurrence statistics of natural sound features predict perceptual grouping. Computational and Systems Neuroscience (Cosyne) 2018 (2018).
Co-occurrence statistics of natural sound features predict perceptual grouping. Computational and Systems Neuroscience (COSYNE) (2018). at <http://www.cosyne.org/c/index.php?title=Cosyne_18>
Learning Mid-Level Auditory Codes from Natural Sound Statistics. (2017). MlynarskiMcDermott_Memo060.pdf (7.11 MB)
MlynarskiMcDermott_Memo060.pdf (7.11 MB) Learning Mid-Level Codes for Natural Sounds. Advances and Perspectives in Auditory Neuroscience (2016). APAN_large_JHM kopia.pdf (19.74 MB)
APAN_large_JHM kopia.pdf (19.74 MB) 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 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)
Morales-EMNLP2016.pdf (197.28 KB) 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)
1603.04595.pdf (2.9 MB) Group Invariant Deep Representations for Image Instance Retrieval. (2016). CBMM-Memo-043.pdf (2.66 MB)
CBMM-Memo-043.pdf (2.66 MB) Single neuron studies of the human brain. Probing cognition (2014).
Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding. (2014). CBMM-Memo-020.pdf (1.89 MB)
CBMM-Memo-020.pdf (1.89 MB) 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)
LearningInvarianceKernel_NIPS2015.pdf (292.18 KB) 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)
9422-beating-sgd-saturation-with-tail-averaging-and-minibatching.pdf (389.35 KB) Brain-Observatory-Toolbox. (2018).
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)
s41467-021-25409-6.pdf (6.47 MB) Dynamics of 3D view invariance in monkey inferotemporal cortex. Journal of Neurophysiology 11319212373232821, 2180 - 2194 (2015).
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).
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).
cnpkg: 3-D Convolutional Network Package for CNS. (2012).
cnpkg.tar (50 KB)
cnpkg.tar (50 KB)