Jonathan Binas

I am a postdoc at MILA, the Quebec Artificial Intelligence Institute.

Recent publications

  1. Jonathan Binas and Yoshua Bengio. Low-memory convolutional neural networks through incremental depth-first processing. arXiv preprint arXiv:1804.10727, 2018. https://arxiv.org/abs/1804.10727.
  2. Alex Lamb, Jonathan Binas, Anirudh Goyal, Dmitriy Serdyuk, Sandeep Subramanian, Ioannis Mitliagkas, and Yoshua Bengio. Fortified networks: improving the robustness of deep networks by modeling the manifold of hidden representations. arXiv preprint arXiv:1804.02485, 2018. https://arxiv.org/abs/1804.02485.
  3. Jonathan Binas, Daniel Neil, Giacomo Indiveri, Shih-Chii Liu, and Michael Pfeiffer. Analog electronic deep networks for fast and efficient inference. SysML, 2018. https://www.sysml.cc/doc/179.pdf.
  4. Benjamin Scellier, Anirudh Goyal, Jonathan Binas, Thomas Mesnard, and Yoshua Bengio. Extending the framework of equilibrium propagation to general dynamics. preprint, 2018. https://openreview.net/forum?id=BJ5V4ICIG.
  5. Jonathan Binas. Brain-Inspired Models and Systems for Distributed Computation. PhD thesis, ETH Zurich, 2017. https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/216012/1/thesis.pdf.
  6. Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Laurent Charlin, Chris Pal, and Yoshua Bengio. Sparse attentive backtracking: long-range credit assignment in recurrent networks. arXiv preprint arXiv:1711.02326, 2017. https://arxiv.org/abs/1711.02326.
  7. Jonathan Binas, Daniel Neil, Shih-Chii Liu, and Tobi Delbruck. Ddd17: end-to-end davis driving dataset. arXiv preprint arXiv:1711.01458, 2017. https://arxiv.org/abs/1711.01458.
  8. Jonathan Binas, Giacomo Indiveri, and Michael Pfeiffer. Deep counter networks for asynchronous event-based processing. arXiv preprint arXiv:1611.00710, 2016. http://scholar.google.com/https://arxiv.org/abs/1611.00710.
  9. Jonathan Binas, Daniel Neil, Giacomo Indiveri, Shih-Chii Liu, and Michael Pfeiffer. Precise deep neural network computation on imprecise low-power analog hardware. arXiv preprint arXiv:1606.07786, 2016. https://arxiv.org/abs/1606.07786.
  10. Jonathan Binas, Giacomo Indiveri, and Michael Pfeiffer. Local structure supports learning of deterministic behavior in recurrent neural networks. BMC neuroscience, 16(1):P195, 2015. https://bmcneurosci.biomedcentral.com/articles/10.1186/1471-2202-16-S1-P195.
  11. Jonathan Binas, Giacomo Indiveri, and Michael Pfeiffer. Spiking analog vlsi neuron assemblies as constraint satisfaction problem solvers. In Circuits and Systems (ISCAS), 2016 IEEE International Symposium on, 2094–2097. IEEE, 2016. http://ieeexplore.ieee.org/abstract/document/7538992/.
  12. Peter U Diehl, Daniel Neil, Jonathan Binas, Matthew Cook, Shih-Chii Liu, and Michael Pfeiffer. Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing. In Neural Networks (IJCNN), 2015 International Joint Conference on, 1–8. IEEE, 2015. http://ieeexplore.ieee.org/abstract/document/7280696/.
  13. Jonathan Binas, Giacomo Indiveri, and Michael Pfeiffer. Local structure helps learning optimized automata in recurrent neural networks. In Neural Networks (IJCNN), 2015 International Joint Conference on, 1–7. IEEE, 2015. http://ieeexplore.ieee.org/abstract/document/7280714/.
  14. Jonathan Binas, Ueli Rutishauser, Giacomo Indiveri, and Michael Pfeiffer. Learning and stabilization of winner-take-all dynamics through interacting excitatory and inhibitory plasticity. Frontiers in computational neuroscience, 8:68, 2014. https://www.frontiersin.org/articles/10.3389/fncom.2014.00068.
  15. Emre Neftci, Jonathan Binas, Ueli Rutishauser, Elisabetta Chicca, Giacomo Indiveri, and Rodney J Douglas. Pnas plus significance statements. PNAS, 110(37):14827–14828, 2013. http://www.pnas.org/content/110/37/14827.short.
  16. Emre Neftci, Jonathan Binas, Ueli Rutishauser, Elisabetta Chicca, Giacomo Indiveri, and Rodney J Douglas. Synthesizing cognition in neuromorphic electronic systems. Proceedings of the National Academy of Sciences, 110(37):E3468–E3476, 2013. http://www.pnas.org/content/110/37/E3468.short.
  17. Emre Neftci, Jonathan Binas, Elisabetta Chicca, Giacomo Indiveri, and Rodney Douglas. Systematic construction of finite state automata using vlsi spiking neurons. Biomimetic and Biohybrid Systems, pages 382–383, 2012. https://link.springer.com/chapter/10.1007/978-3-642-31525-1_52.
  18. Oliver Fenwick, Johannes K Sprafke, Jonathan Binas, Dmitry V Kondratuk, Francesco Di Stasio, Harry L Anderson, and Franco Cacialli. Linear and cyclic porphyrin hexamers as near-infrared emitters in organic light-emitting diodes. Nano letters, 11(6):2451–2456, 2011. http://pubs.acs.org/doi/abs/10.1021/nl2008778.

© J. Binas, 2018