Up a level |
This graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
Use the mouse wheel or scroll gestures to zoom into the graph.
You can click on the nodes and links to highlight them and move the nodes by dragging them.
Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
Abdelsalam, A. M., Elsheikh, A., Chidambaram, S., David, J. P., & Langlois, J. M. P. (2020). POLYBiNN: Binary Inference Engine for Neural Networks using Decision Trees. Journal of Signal Processing Systems, 92(1), 95-107. External link
Chidambaram, S., Langlois, J. M. P., & David, J. P. (2020, March). PoET-BiN : Power Efficient Tiny Binary Neurons [Paper]. 3rd Conference on Machine Learning and Systems (MLSys 2020), Austin, Texas (12 pages). Unavailable
Chidambaram, S., Riviello, A., Langlois, J. M. P., & David, J. P. (2018, October). Accelerating the Inference Phase in Ternary Convolutional Neural Networks Using Configurable Processors [Paper]. Conference on Design and Architectures for Signal and Image Processing (DASIP 2018), Porto, Portugal. External link
Chidambaram, S. (2019). PoET-BiN: Power Efficient Tiny Binary Neurons [Master's thesis, Polytechnique Montréal]. Available