research
∙
07/25/2023
Bayesian Rationality in Satisfaction Games
We introduce a new paradigm for game theory – Bayesian satisfaction. Thi...
share
research
∙
07/25/2023
Social Optimum Equilibrium Selection for Distributed Multi-Agent Optimization
We study the open question of how players learn to play a social optimum...
research
∙
08/04/2022
Impact of the Consistency Model on Checkpointing of Distributed Shared Memory
In this report, we consider the impact of the consistency model on check...
research
∙
09/08/2021
TrAISformer-A generative transformer for AIS trajectory prediction
Modelling trajectory in general, and vessel trajectory in particular, is...
research
∙
08/21/2021
Analyzing the Effect of Consistency Violation Faults in Self-Stabilizing Programs
Consistency violation faults s refer to faults that occur due to inconsi...
research
∙
04/30/2021
Achieving Causality with Physical Clocks
Physical clocks provide more precision than applications can use. For ex...
research
∙
02/16/2021
Improving Bayesian Inference in Deep Neural Networks with Variational Structured Dropout
Approximate inference in deep Bayesian networks exhibits a dilemma of ho...
research
∙
09/04/2020
Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations
The data-driven recovery of the unknown governing equations of dynamical...
research
∙
08/12/2020
Detection of Abnormal Vessel Behaviours from AIS data using GeoTrackNet: from the Laboratory to the Ocean
The constant growth of maritime traffic leads to the need of automatic a...
research
∙
07/26/2020
Technical Report: Benefits of Stabilization versus Rollback in Self-Stabilizing Graph-Based Applications on Eventually Consistent Key-Value Stores
In this paper, we evaluate and compare the performance of two approaches...
research
∙
03/18/2020
Neuroevolution of Self-Interpretable Agents
Inattentional blindness is the psychological phenomenon that causes one ...
research
∙
12/02/2019
GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection
Representing maritime traffic patterns and detecting anomalies from them...
research
∙
10/18/2019
Benefits of Stabilization versus Rollback in Eventually Consistent Key-Value Stores
In this paper, we evaluate and compare the performance of two approaches...
research
∙
09/04/2019
Using Weaker Consistency Models with Monitoring and Recovery for Improving Performance of Key-Value Stores
Consistency properties provided by most key-value stores can be classifi...
research
∙
07/04/2019
Learning Latent Dynamics for Partially-Observed Chaotic Systems
This paper addresses the data-driven identification of latent dynamical ...
research
∙
03/25/2019
EM-like Learning Chaotic Dynamics from Noisy and Partial Observations
The identification of the governing equations of chaotic dynamical syste...
research
∙
02/13/2019
Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection
In this paper, we adapt Recurrent Neural Networks with Stochastic Layers...
research
∙
09/07/2018
BiasedWalk: Biased Sampling for Representation Learning on Graphs
Network embedding algorithms are able to learn latent feature representa...
research
∙
08/02/2018
Benefit of Self-Stabilizing Protocols in Eventually Consistent Key-Value Stores: A Case Study
In this paper, we focus on the implementation of distributed programs in...
research
∙
06/06/2018
Multi-task Learning for Maritime Traffic Surveillance from AIS Data Streams
In a world of global trading, maritime safety, security and efficiency a...
research
∙
05/25/2018
Technical Report: Optimistic Execution in Key-Value Store
Limitations of CAP theorem imply that if availability is desired in the ...
research
∙
01/22/2018
