136 citations · 155 across the 6 of their papers we have counts for
8 papers
TypedBench: A Benchmark for Calibration, Framing Sensitivity, and Cost in System One Decision Models
Rahul Sharma, Andrew B. Duncan, Andrew B. Ducan +2
System One models output calibrated probabilities over typed answers such as categorical choices, ordinal levels, or binary outcomes, via a non-generative interface. Software can a…
Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning
Arsene Fansi Tchango, Rishab Goel, Julien Martel +3
The automation of the medical evidence acquisition and diagnosis process has recently attracted increasing attention in order to reduce the workload of doctors and democratize acce…
A Practical Survey on Faster and Lighter Transformers
Quentin Fournier, Gaétan Marceau Caron, Daniel Aloise
Recurrent neural networks are effective models to process sequences. However, they are unable to learn long-term dependencies because of their inherent sequential nature. As a solu…
COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing
Prateek Gupta, Tegan Maharaj, Martin Weiss +26
The rapid global spread of COVID-19 has led to an unprecedented demand for effective methods to mitigate the spread of the disease, and various digital contact tracing (DCT) method…
Predicting Infectiousness for Proactive Contact Tracing
Yoshua Bengio, Prateek Gupta, Tegan Maharaj +20
The COVID-19 pandemic has spread rapidly worldwide, overwhelming manual contact tracing in many countries and resulting in widespread lockdowns for emergency containment. Large-sca…
Combining neural networks and signed particles to simulate quantum systems more efficiently, Part III
Jean Michel Sellier, Gaetan Marceau Caron, Jacob Leygonie
This work belongs to a series of articles which have been dedicated to the combination of signed particles and neural networks to speed up the time-dependent simulation of quantum…
Combining neural networks and signed particles to simulate quantum systems more efficiently, Part II
Jean Michel Sellier, Jacob Leygonie, Gaetan Marceau Caron
Recently the use of neural networks has been introduced in the context of the signed particle formulation of quantum mechanics to rapidly and reliably compute the Wigner kernel of…
Multiobjective Tactical Planning under Uncertainty for Air Traffic Flow and Capacity Management
Gaétan Marceau, Pierre Savéant, Marc Schoenauer
We investigate a method to deal with congestion of sectors and delays in the tactical phase of air traffic flow and capacity management. It relies on temporal objectives given for…