3 citations · 7 across the 9 of their papers we have counts for
10 papers
Pricing rides as option contracts: guarantees and memberships under travel-time uncertainty
Mohamad Elmasri, Mingze Li, Yunran Wei
Modern ride-share platforms must commit to a price before a trip is taken, yet the realized fare depends on travel time that is uncertain at the moment of sale, which can occur day…
Technical overview and architecture of the FastNet Machine Learning weather prediction model, version 1.0
Eric G. Daub, Tom Dunstan, Thusal Bennett +30
We present FastNet version 1.0, a data-driven medium range numerical weather prediction (NWP) model based on a Graph Neural Network architecture, developed jointly between the Alan…
FastNet: Improving the physical consistency of machine-learning weather prediction models through loss function design
Tom Dunstan, Oliver Strickson, Thusal Bennett +31
Machine learning weather prediction (MLWP) models have demonstrated remarkable potential in delivering accurate forecasts at significantly reduced computational cost compared to tr…
Gradient descent in matrix factorization: Understanding large initialization
Hengchao Chen, Xin Chen, Mohamad Elmasri +1
Gradient Descent (GD) has been proven effective in solving various matrix factorization problems. However, its optimization behavior with large initial values remains less understo…
Parallel sampling of decomposable graphs using Markov chain on junction trees
Mohamad Elmasri
Bayesian inference for undirected graphical models is mostly restricted to the class of decomposable graphs, as they enjoy a rich set of properties making them amenable to high-dim…
Predictive inference for travel time on transportation networks
Mohamad Elmasri, Aurelie Labbe, Denis Larocque +1
Recent statistical methods fitted on large-scale GPS data can provide accurate estimations of the expected travel time between two points. However, little is known about the distri…
Sub-clustering in decomposable graphs and size-varying junction trees
Mohamad Elmasri
This paper proposes a novel representation of decomposable graphs based on semi-latent tree-dependent bipartite graphs. The novel representation has two main benefits. First, it en…
On decomposable random graphs
Mohamad Elmasri
Decomposable graphs are known for their tedious and complicated Markov update steps. Instead of modelling them directly, this work introduces a class of tree-dependent bipartite gr…
A Skew-Normal Copula-Driven GLMM
Kalyan Das, Mohamad Elmasri, Arusharka Sen
This paper presents a method for fitting a copula-driven generalized linear mixed models. For added flexibility, the skew-normal copula is adopted for fitting. The correlation matr…
A hierarchical Bayesian model for predicting ecological interactions using scaled evolutionary relationships
Mohamad Elmasri, Maxwell J. Farrell, T. Jonathan Davies +1
Identifying undocumented or potential future interactions among species is a challenge facing modern ecologists. Recent link prediction methods rely on trait data, however large sp…