François Rivest

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 18

Top Topics

Home Environments

Monte Carlo Tree Search

Reinforcement Learning

Partially Observable

Top Venues

IEEE Trans. Artif. Intell.

Publications

Justin Norman, François Rivest
Monte Carlo Tree Search Satellite Scheduling Under Cloud Cover Uncertainty. CoRR (2024)
Mohammed Gasmallah, François Rivest, Farhana H. Zulkernine, Mélanie Breton
Quantifying Path Smoothness in Video Object Tracking by Detection. Canadian AI (2023)
Ruikang Luo, François Rivest, Farhana H. Zulkernine
I3D Light - A Simple Motion Information Stream for I3D. Canadian AI (2023)
Shashi Suman, François Rivest, Ali Etemad
Toward Personalization of User Preferences in Partially Observable Smart Home Environments. IEEE Trans. Artif. Intell. 4 (3) (2023)
Masih Hashemi, François Rivest
Optimistically Initializing DQN. CASCON (2023)
Shashi Suman, Ali Etemad, François Rivest
Potential Impacts of Smart Homes on Human Behavior: A Reinforcement Learning Approach. IEEE Trans. Artif. Intell. 3 (4) (2022)
Richard Kohar, François Rivest, Alain Gosselin
ChronosPerseus: Randomized Point-based Value Iteration with Importance Sampling for POSMDPs. CoRR (2022)
Abdellah Chehri, Gwanggil Jeon, François Rivest, Hussein T. Mouftah
Evolution and Trends in Artificial Intelligence of Things Security: When Good Enough is Not Good Enough! IEEE Internet Things Mag. 5 (3) (2022)
Alex Salgo, Jeremy Banks, François Rivest
Exploring decision support systems in task scheduling. CASCON (2021)
Shashi Suman, François Rivest, Ali Etemad
Towards Personalization of User Preferences in Partially Observable Smart Home Environments. CoRR (2021)
Isaac Hogan, Donghao Qiao, Ruikang Luo, Mojtaba Moattari, Austin Carthy, Farhana H. Zulkernine, François Rivest, Mélanie Breton
FireWarn: Fire Hazards Detection Using Deep Learning Models. CogMI (2021)
Gabriele Cimolino, François Rivest
Latent Time-Adaptive Drift-Diffusion Model. CoRR (2021)
Shashi Suman, Ali Etemad, François Rivest
Potential Impacts of Smart Homes on Human Behavior: A Reinforcement Learning Approach. CoRR (2021)
François Rivest, Richard Kohar
A New Timing Error Cost Function for Binary Time Series Prediction. IEEE Trans. Neural Networks Learn. Syst. 31 (1) (2020)
Rene Sturgeon, François Rivest
Automatic Policy Decomposition through Abstract State Space Dynamic Specialization. IJCNN (2020)
Mohammed Gasmallah, Farhana H. Zulkernine, François Rivest, Parvin Mousavi, Alireza Sedghi
Fully End-To-End Super-Resolved Bone Age Estimation. Canadian Conference on AI (2019)
Jason T. Lam, François Rivest, Jean Berger
Deep Reinforcement Learning for Multi-satellite Collection Scheduling. TPNC (2019)
Michael R. Kellman, François Rivest, Alina Pechacek, Lydia Sohn, Michael Lustig
Barker-Coded node-pore resistive pulse sensing with built-in coincidence correction. ICASSP (2017)
François Rivest, John Kalaska, Yoshua Bengio
Conditioning and time representation in long short-term memory networks. Biol. Cybern. 108 (1) (2014)
Ali Sengul, François Rivest, Michiel van Elk, Olaf Blanke, Hannes Bleuler
Visual and force feedback time-delays change telepresence: Quantitative evidence from crossmodal congruecy task. World Haptics (2013)
François Rivest, John Kalaska, Yoshua Bengio
Alternative time representation in dopamine models. J. Comput. Neurosci. 28 (1) (2010)
Thomas R. Shultz, François Rivest, László Egri, Jean-Philippe Thivierge, Frédéric Dandurand
Could Knowledge-Based Neural Learning be Useful in Developmental Robotics? The Case of Kbcc. Int. J. Humanoid Robotics 4 (2) (2007)
François Rivest, Yoshua Bengio, John Kalaska
Brain Inspired Reinforcement Learning. NIPS (2004)
François Rivest, Thomas R. Shultz
Compositionality in a Knowledge-Based Constructive Learner. AAAI Technical Report (3) (2004)
François Rivest, Doina Precup
Combining TD-learning with Cascade-correlation Networks. ICML (2003)
Thomas R. Shultz, François Rivest
Knowledge-based cascade-correlation: using knowledge to speed learning. Connect. Sci. 13 (1) (2001)
Thomas R. Shultz, François Rivest
Knowledge-Based Cascade-Correlation. IJCNN (5) (2000)
Thomas R. Shultz, François Rivest
Using Knowledge to Speed Learning: A Comparison of Knowledge-based Cascade-correlation and Multi-task Learning. ICML (2000)