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CVPR 2015 Language and Vision Workshop Engineering and Reverse Engineering Reinforcement Learning Learning Data Representation: Hierarchies and Invariance You are here CBMM, NSF STC » Publications » Publication Publications CBMM Memos were established in 2014 as a mechanism for our center to share research results with the wider scientific community. Click here to read more about the memos and to see a full list of the memos. Videos Support Us Publication Export 11 results: BibTeX RTF Tagged XML Filters: Author is Georgios Evangelopoulos [Clear All Filters] 2018 O'Brien, N., Latessa, S., Evangelopoulos, G. & Boix, X. The Language of Fake News: Opening the Black-Box of Deep Learning Based Detectors. workshop on "AI for Social Good", NIPS 2018 (2018). at <http://hdl.handle.net/1721.1/120056> Google Scholar BibTeX RTF Tagged XML fake-news-paper-NIPS.pdf (147.36 KB) fake-news-paper-NIPS_2018_v2.pdf (147.36 KB) 2017 Tacchetti, A., Voinea, S. & Evangelopoulos, G. Discriminate-and-Rectify Encoders: Learning from Image Transformation Sets. (2017). Google Scholar BibTeX RTF Tagged XML CBMM-Memo-062.pdf (9.37 MB) Tacchetti, A., Voinea, S., Evangelopoulos, G. & Poggio, T. Representation Learning from Orbit Sets for One-shot Classification. AAAI Spring Symposium Series, Science of Intelligence (2017). at <https://www.aaai.org/ocs/index.php/SSS/SSS17/paper/view/15357> Google Scholar BibTeX RTF Tagged XML Anselmi, F., Evangelopoulos, G., Rosasco, L. & Poggio, T. Symmetry Regularization. (2017). Google Scholar BibTeX RTF Tagged XML CBMM-Memo-063.pdf (6.1 MB) 2015 Zhang, C., Voinea, S., Evangelopoulos, G., Rosasco, L. & Poggio, T. Discriminative Template Learning in Group-Convolutional Networks for Invariant Speech Representations. INTERSPEECH-2015 (International Speech Communication Association (ISCA), 2015). at <http://www.isca-speech.org/archive/interspeech_2015/i15_3229.html> Google Scholar BibTeX RTF Tagged XML 2014 Zhang, C., Evangelopoulos, G., Voinea, S., Rosasco, L. & Poggio, T. A Deep Representation for Invariance And Music Classification. (2014). Google Scholar BibTeX RTF Tagged XML CBMM-Memo-002.pdf (1.63 MB) Zhang, C., Evangelopoulos, G., Voinea, S., Rosasco, L. & Poggio, T. A Deep Representation for Invariance and Music Classification. ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE, 2014). doi:10.1109/ICASSP.2014.6854954 DOI Google Scholar BibTeX RTF Tagged XML Evangelopoulos, G., Voinea, S., Zhang, C., Rosasco, L. & Poggio, T. Learning An Invariant Speech Representation. (2014). Google Scholar BibTeX RTF Tagged XML CBMM-Memo-022-1406.3884v1.pdf (1.81 MB) Zhang, C., Voinea, S., Evangelopoulos, G., Rosasco, L. & Poggio, T. Phone Classification by a Hierarchy of Invariant Representation Layers. INTERSPEECH 2014 - 15th Annual Conf. of the International Speech Communication Association (International Speech Communication Association (ISCA), 2014). at <http://www.isca-speech.org/archive/interspeech_2014/i14_2346.html> Google Scholar BibTeX RTF Tagged XML Voinea, S., Zhang, C., Evangelopoulos, G., Rosasco, L. & Poggio, T. Speech Representations based on a Theory for Learning Invariances. (2014). Google Scholar BibTeX RTF Tagged XML Voinea, S., Zhang, C., Evangelopoulos, G., Rosasco, L. & Poggio, T. Word-level Invariant Representations From Acoustic Waveforms. INTERSPEECH 2014 - 15th Annual Conf. of the International Speech Communication Association (International Speech Communication Association (ISCA), 2014). at <http://www.isca-speech.org/archive/interspeech_2014/i14_2385.html> Google Scholar BibTeX RTF Tagged XML CBMM Memos All Publications Views & Reviews Datasets and Code CBMM on Github CBMM Publication Acknowledgement In Press & Submitted CBMM Memos Books & Chapters Conference Abstracts Conference Papers Conference Posters Journal Articles Views & Reviews Online Journal Code Dataset Research Modules Visual Stream Memory and Executive Function The Cognitive Core Symbolic Compositional Models Research Areas (archive) Development of Intelligence Circuits for Intelligence Vision and Language Social Intelligence Theoretical Frameworks for Intelligence Exploring Future Directions Support the Center Contact Us Terms of Use Privacy PolicyTitle IXAccessibility Funded by the National Science Foundation Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. © 2020 Center for Brain, Minds, & Machines Login