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Maxime Tremblay
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2020 – today
- 2023
- [j3]Maxime Tremblay, Guillaume Duclos-Cianci, Stefanos Kourtis:
Finite-rate sparse quantum codes aplenty. Quantum 7: 985 (2023) - 2022
- [j2]Ryan LaRose, Andrea Mari, Sarah Kaiser, Peter J. Karalekas
, Andre A. Alves
, Piotr Czarnik
, Mohamed El Mandouh, Max Hunter Gordon, Yousef Hindy, Aaron Robertson, Purva Thakre, Misty Wahl, Danny Samuel, Rahul Mistri, Maxime Tremblay, Nick Gardner, Nathaniel T. Stemen, Nathan Shammah
, William J. Zeng:
Mitiq: A software package for error mitigation on noisy quantum computers. Quantum 6: 774 (2022) - [i5]Maxime Tremblay, Guillaume Duclos-Cianci, Stefanos Kourtis:
Finite-rate sparse quantum codes aplenty. CoRR abs/2207.03562 (2022) - 2021
- [j1]Maxime Tremblay, Shirsendu Sukanta Halder
, Raoul de Charette, Jean-François Lalonde
:
Rain Rendering for Evaluating and Improving Robustness to Bad Weather. Int. J. Comput. Vis. 129(2): 341-360 (2021) - 2020
- [i4]Maxime Tremblay, Shirsendu Sukanta Halder, Raoul de Charette, Jean-François Lalonde:
Rain rendering for evaluating and improving robustness to bad weather. CoRR abs/2009.03683 (2020)
2010 – 2019
- 2018
- [c2]Maxime Tremblay
, Benjamin Bourassa, David Poulin:
Depth versus Breadth in Convolutional Polar Codes. ITW 2018: 1-5 - [i3]Maxime Tremblay, Benjamin Bourassa, David Poulin:
Depth versus Breadth in Convolutional Polar Codes. CoRR abs/1805.09306 (2018) - [i2]Benjamin Bourassa, Maxime Tremblay, David Poulin:
Convolutional Polar Codes on Channels with Memory. CoRR abs/1805.09378 (2018) - 2017
- [c1]Maxime Tremblay, André Zaccarin:
Learning to segment on tiny datasets: A new shape model. ICIP 2017: 2384-2388 - [i1]Maxime Tremblay, André Zaccarin:
Learning to segment on tiny datasets: a new shape model. CoRR abs/1708.02165 (2017)
Coauthor Index
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