Talk Videos

[pdf] [bibliography]

B.A. Pearlmutter, ‘Automatic Differentiation: History and Headroom,’ NIPS Workshop on The Future of Gradient-Based Machine Learning Software, 10 December 2016.
[schedule] [slides] [BibTeX] [video]

J.M. Siskind, ‘The tension between convenience and performance in automatic differentiation,’ NIPS Workshop on The Future of Gradient-Based Machine Learning Software, 10 December 2016.
[schedule] [slides] [BibTeX] [video]

O. Manzyuk, B.A. Pearlmutter, A.A. Radul, D.R. Rush, and J.M. Siskind, ‘Perturbation Confusion in Forward Automatic Differentiation of Higher-Order Functions,’ Journal of Functional Programming (JFP), 29(e12):1–24, September 2019.
[copy of record] [pdf] [BibTeX] [announcement] [slides] [video]

J.M. Siskind, ‘Scheme as a framework for Deep Learning,’ ICFP Scheme and Functional Programming Workshop, 27 August 2021.
[schedule] [slides] [BibTeX] [video]

M. Maleki, B.A. Pearlmutter, and J.M. Siskind, ‘Adding AD to Scheme by differentiation the Interpreter,’ ICFP Scheme and Functional Programming Workshop, 27 August 2021.
[schedule] [BibTeX] [video]

J.M. Siskind, ‘Computers XOR Vision XOR Language,’ CVPR Workshop on Language and Vision, 11 June 2015.
[schedule] [slides] [BibTeX] [video]

J.M. Siskind, ‘Seeing, Saying, Doing, and Learning: Integrating Computer Vision, Natural Language Processing, Robotics, and Machine Learning Through Multidirectional Inference,’ Princeton University, 15 October 2015.
[announcement] [slides] [BibTeX] [video]

J.M. Siskind, ‘Decoding the Brain to Help Build Machines,’ Columbia University, 16 October 2015.
[announcement] [slides] [BibTeX] [video]

J.M. Siskind, ‘Decoding the Brain to Help Build Machines,’ Brown University, 9 November 2015.
[announcement] [slides] [BibTeX] [video]

J.M. Siskind, ‘Decoding the Brain to Help Build Machines,’ University of Washington, 11 May 2016.
[announcement] [slides] [BibTeX] [video]

J.M. Siskind, ‘Decoding the Brain to Help Build Machines,’ The Johns Hopkiuns University, 7 November 2017.
[announcement] [slides] [BibTeX] [video]

H. Ahmed, R.B. Wilbur, H.M. Bharadwaj, and J.M. Siskind, ‘Object classification from randomized EEG trials,’ Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, 12–22 June 2021.
[copy of record] [pdf] [slides] [BibTeX] [video]

T.V. Ilyevsky, J.S. Johansen, and J.M. Siskind, ‘Talk the talk and walk the walk: Dialogue-driven navigation in unknown indoor environments,’ Proceedings of the International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, 12–29 September 2021.
[copy of record] [pdf] [slides] [BibTeX] [video]

Y. Wang, J.M. Siskind, and X. Wang, ‘Great Minds Think Alike: The Universal Convergence Trend of Input Salience,’ Proceedings of The Thirty-Eighth Annual Conferenc eon Neural Information Processing Systems (NeurIPS), Vancouver, BC, 12–11 December 2024.
[copy of record] [pdf] [slides] [BibTeX] [video]