Publications related to Concepts of Information Content and Likelihood in Parameter Calibration for Hydrological Simulation Models

Learning new physics from an imperfect machine

We show how to deal with uncertainties on the Standard Model predictions in an agnostic new physics search strategy that exploits artificial neural networks. Our approach builds directly on the specific Maximum Likelihood ratio treatment of uncertainties a ...

SPRINGER2022

A taxonomy of surprise definitions

Wulfram Gerstner, Johanni Michael Brea, Alireza Modirshanechi

Surprising events trigger measurable brain activity and influence human behavior by affecting learning, memory, and decision-making. Currently there is, however, no consensus on the definition of surprise. Here we identify 18 mathematical definitions of su ...

2022

A methodology to design measurement systems when multiple model classes are plausible

Ian Smith, Numa Joy Bertola, Sai Ganesh Sarvotham Pai

The management of existing civil infrastructure is challenging due to evolving functional requirements, aging and climate change. Civil infrastructure often has hidden reserve capacity because of conservative approaches used in design and during constructi ...

2021

Modelling the Intracellular Environment under Uncertainty, from Post-translational Modification to Metabolic Networks

Robin Alexander Denhardt-Eriksson

Modelling and analysis of biological systems is crucial in order to quantitatively explain and predict their behaviour. The importance of modelling in systems biology becomes even more evident when tackling complex, large systems. Approaches that rely on ...

EPFL2021

Uncertainty and Surprisal Jointly Deliver the Punchline: Exploiting Incongruity-Based Features for Humor Recognition

Pearl Pu Faltings, Yubo Xie, Junze Li

Humor recognition has been widely studied as a text classification problem using data-driven approaches. However, most existing work does not examine the actual joke mechanism to understand humor. We break down any joke into two distinct components: the se ...

ASSOC COMPUTATIONAL LINGUISTICS-ACL2021

Framework to Approximate the Value of Information of Bridge Load Testing for Reserve Capacity Assessment

Ian Smith, Numa Joy Bertola, Marco Proverbio

In developed countries, structural assessment of existing bridges should not be performed using the same conservative models that are used at the design stage. Field measurements of real behavior provide additional information for the inference of previous ...

2020

Data assimilation of in situ and satellite remote sensing data to 3D hydrodynamic lake models: a case study using Delft3D-FLOW v4.03 and OpenDA v2.4

Alfred Johny Wüest, Damien Bouffard, Theo Baracchini

The understanding of physical dynamics is crucial to provide scientifically credible information on lake ecosystem management. We show how the combination of in situ observations, remote sensing data, and three-dimensional hydrodynamic (3D) numerical simul ...

2020

Is there a relationship between footstep-impact locations and measured signal characteristics?

Ian Smith, Yves Sylvain Gilles Reuland, Sai Ganesh Sarvotham Pai, Slah Drira

Building utilization can be enhanced by tracking occupants. Non-intrusive tracking of occupants using floor-vibration measurements is beneficial for many smart-building applications such as energy consumption, security enhancement, and care-giving. Also, u ...

ACM2019

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Concepts of Information Content and Likelihood in Parameter Calibration for Hydrological Simulation Models

Learning new physics from an imperfect machine

A taxonomy of surprise definitions

A methodology to design measurement systems when multiple model classes are plausible

Modelling the Intracellular Environment under Uncertainty, from Post-translational Modification to Metabolic Networks

Uncertainty and Surprisal Jointly Deliver the Punchline: Exploiting Incongruity-Based Features for Humor Recognition

Framework to Approximate the Value of Information of Bridge Load Testing for Reserve Capacity Assessment

Data assimilation of in situ and satellite remote sensing data to 3D hydrodynamic lake models: a case study using Delft3D-FLOW v4.03 and OpenDA v2.4

Comparison of data interpretation methodologies for geotechnical back analysis

Time series data interpretation for ‘wheel-flat’ identification including uncertainties

Is there a relationship between footstep-impact locations and measured signal characteristics?

Graph Chatbot

Chat with Graph Search

Modelling the Intracellular Environment under Uncertainty, from Post-translational Modification to Metabolic Networks

Is there a relationship between footstep-impact locations and measured signal characteristics?

A taxonomy of surprise definitions

A methodology to design measurement systems when multiple model classes are plausible

Framework to Approximate the Value of Information of Bridge Load Testing for Reserve Capacity Assessment

Data assimilation of in situ and satellite remote sensing data to 3D hydrodynamic lake models: a case study using Delft3D-FLOW v4.03 and OpenDA v2.4

Uncertainty and Surprisal Jointly Deliver the Punchline: Exploiting Incongruity-Based Features for Humor Recognition

Comparison of data interpretation methodologies for geotechnical back analysis

Time series data interpretation for ‘wheel-flat’ identification including uncertainties

Learning new physics from an imperfect machine