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Structures Research Group

 
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The Engineering Department (CUED) hosts a series of Structures seminars for post-graduates, undergraduates and staff. Non-CUED university people are also welcome to attend. The seminars will be at the Seminar room, Civil Engineering building in West Cambridge at 3pm, unless otherwise stated.
Updated: 21 min 17 sec ago

Fri 07 Feb 15:00: Population-Based Inference in Mechanics

Mon, 03/02/2025 - 09:29
Population-Based Inference in Mechanics

Inferring model parameters from observational data of a physical system is the setup for many inverse problems. Solving these kinds of problems can give key insight into the state of a system for quantities that are not directly observable, such as material properties. In this talk, we discuss a population-based perspective on solving inverse problems where the data available comes from a collection of physical systems and we are interested in characterising the (indirectly observable) properties of these systems at a distributional level. We call this: calibrating priors from indirect data. Furthermore, we show how this can be accomplished while concurrently learning ML-based surrogates which capture the behaviour of the physical systems of interest.

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Fri 07 Feb 15:00: Population-Based Inference in Mechanics

Mon, 03/02/2025 - 09:29
Population-Based Inference in Mechanics

Inferring model parameters from observational data of a physical system is the setup for many inverse problems. Solving these kinds of problems can give key insight into the state of a system for quantities that are not directly observable, such as material properties. In this talk, we discuss a population-based perspective on solving inverse problems where the data available comes from a collection of physical systems and we are interested in characterising the (indirectly observable) properties of these systems at a distributional level. We call this: calibrating priors from indirect data. Furthermore, we show how this can be accomplished while concurrently learning ML-based surrogates which capture the behaviour of the physical systems of interest.

Add to your calendar or Include in your list

Fri 07 Feb 15:00: Population-Based Inference in Mechanics

Mon, 03/02/2025 - 09:29
Population-Based Inference in Mechanics

Inferring model parameters from observational data of a physical system is the setup for many inverse problems. Solving these kinds of problems can give key insight into the state of a system for quantities that are not directly observable, such as material properties. In this talk, we discuss a population-based perspective on solving inverse problems where the data available comes from a collection of physical systems and we are interested in characterising the (indirectly observable) properties of these systems at a distributional level. We call this: calibrating priors from indirect data. Furthermore, we show how this can be accomplished while concurrently learning ML-based surrogates which capture the behaviour of the physical systems of interest.

Add to your calendar or Include in your list

Fri 07 Feb 15:00: Population-Based Inference in Mechanics

Mon, 03/02/2025 - 09:29
Population-Based Inference in Mechanics

Inferring model parameters from observational data of a physical system is the setup for many inverse problems. Solving these kinds of problems can give key insight into the state of a system for quantities that are not directly observable, such as material properties. In this talk, we discuss a population-based perspective on solving inverse problems where the data available comes from a collection of physical systems and we are interested in characterising the (indirectly observable) properties of these systems at a distributional level. We call this: calibrating priors from indirect data. Furthermore, we show how this can be accomplished while concurrently learning ML-based surrogates which capture the behaviour of the physical systems of interest.

Add to your calendar or Include in your list