7 papers
All These Approximate Ramsey Properties
Nadav Meir, Aris Papadopoulos
We consider finitary approximations of the (embedding) Ramsey property. Using a class of homogeneous reducts of random ordered hypergraphs, we prove that these properties form a st…
Monadic NIP in monotone classes of relational structures
Samuel Braunfeld, Anuj Dawar, Ioannis Eleftheriadis +1
We prove that for any monotone class of finite relational structures, the first-order theory of the class is NIP in the sense of stability theory if, and only if, the collection of…
Practical and Structural Infinitary Expansions
Nadav Meir, Aris Papadopoulos
Given a structure we introduce infinitary logic expansions, which generalise the Morleyisation. We show that these expansions are tame, in the sense that they preserve and refl…
Integrated Traffic Simulation-Prediction System using Neural Networks with Application to the Los Angeles International Airport Road Network
Yihang Zhang, Aristotelis-Angelos Papadopoulos, Pengfei Chen +4
Transportation networks are highly complex and the design of efficient traffic management systems is difficult due to lack of adequate measured data and accurate predictions of the…
Why Should we Combine Training and Post-Training Methods for Out-of-Distribution Detection?
Aristotelis-Angelos Papadopoulos, Nazim Shaikh, Mohammad Reza Rajati
Deep neural networks are known to achieve superior results in classification tasks. However, it has been recently shown that they are incapable to detect examples that are generate…
Personalized Pareto-Improving Pricing-and-Routing Schemes for Near-Optimum Freight Routing: An Alternative Approach to Congestion Pricing
Aristotelis-Angelos Papadopoulos, Ioannis Kordonis, Maged M. Dessouky +1
We design a coordination mechanism for truck drivers that uses pricing-and-routing schemes that can help alleviate traffic congestion in a general transportation network. We consid…