ViewTube

ViewTube
Sign inSign upSubscriptions
Filters

Upload date

Type

Duration

Sort by

Features

Reset

37 results

Institute for Pure & Applied Mathematics (IPAM)
Mohamed Iskandarani - Uncertainty Quantification in Ocean-Atmosphere Simulation w/ Polynomial Chaos

Recorded 05 February 2026. Mohamed Iskandarani of the University of Miami presents "Uncertainty Quantification in ...

47:53
Mohamed Iskandarani - Uncertainty Quantification in Ocean-Atmosphere Simulation w/ Polynomial Chaos

66 views

3 days ago

Hausdorff Center for Mathematics
Elisa Iacomini: Investigating Uncertainty in Traffic Flow Modeling: Multi-Level MC and MF Approaches

This makes this approach especially powerful in high-dimensional problems, as in the uncertainty quantification framework.

42:17
Elisa Iacomini: Investigating Uncertainty in Traffic Flow Modeling: Multi-Level MC and MF Approaches

32 views

3 days ago

InsideOpt Tutorials
Sequential Optimization
48:06
Sequential Optimization

0 views

0

Institute for Pure & Applied Mathematics (IPAM)
Dimitris Giannakis - Operator-theoretic approach, feature extraction & statistical model of climate

... forecasting, and uncertainty quantification in complex systems. In this talk, we survey aspects of the mathematical formulation of ...

51:06
Dimitris Giannakis - Operator-theoretic approach, feature extraction & statistical model of climate

169 views

5 days ago

Hausdorff Center for Mathematics
J. Martínek: Multilevel Sequential Monte Carlo for Bayesian Inverse Problems with Random Likelihoods

Such problems often arise, for example, in uncertainty quantification of particle transport, where the parameter-to-observable map ...

1:00:00
J. Martínek: Multilevel Sequential Monte Carlo for Bayesian Inverse Problems with Random Likelihoods

28 views

5 days ago

digiLab AI
theLab: One Word

theLab brings together world-class expertise in Uncertainty Quantification (UQ), machine learning, and data science to develop ...

1:07
theLab: One Word

27 views

4 days ago

Institute for Pure & Applied Mathematics (IPAM)
Marcus van Lier Walqui - Clouds in weather and climate models: deterministic & stochastic approaches

Recorded 03 February 2026. Marcus van Lier-Walqui of Columbia University presents "Clouds in weather and climate models: ...

49:07
Marcus van Lier Walqui - Clouds in weather and climate models: deterministic & stochastic approaches

53 views

5 days ago

Stats Up AI
Rebuilding Statistics for AI

What happens to statistics when AI models with trillions of parameters can just work? In this video, we dive into a high-stakes ...

7:21
Rebuilding Statistics for AI

39 views

6 days ago

Hausdorff Center for Mathematics
Aretha Teckentrup: Multilevel Monte Carlo Methods with Smoothing

Parameters in mathematical models are often impossible to determine fully or accurately, and are hence subject to uncertainty.

53:26
Aretha Teckentrup: Multilevel Monte Carlo Methods with Smoothing

30 views

5 days ago

Computer Science & IT Conference Proceedings
The Fractime Framework A Unified Toolkit for Fractal Geometry and Probability Weighted Time Series F

... in directional prediction and uncertainty quantification. This work establishes FracTime as a rigorous, interpretable alternative to ...

23:24
The Fractime Framework A Unified Toolkit for Fractal Geometry and Probability Weighted Time Series F

0 views

4 days ago

IACTalks
IAC-DEEP 3: Bayesian Deep Learning and Implicit Likelihood Inference

Third in the lecture series on deep learning for astronomy. This series is designed to provide clear and accessible introductions to ...

59:06
IAC-DEEP 3: Bayesian Deep Learning and Implicit Likelihood Inference

44 views

4 days ago

Institute for Pure & Applied Mathematics (IPAM)
Katherine Breen - Foundation Models as New Backbone for Medium-range Forecasting & Data Assimilation

Recorded 02 February 2026. Katherine Breen of NASA presents "Foundation Models as a New Backbone for Medium-range ...

44:28
Katherine Breen - Foundation Models as New Backbone for Medium-range Forecasting & Data Assimilation

136 views

6 days ago

Institute for Pure & Applied Mathematics (IPAM)
Franca Hoffmann - Efficient calibration for black-box physics-based models - IPAM at UCLA

Recorded 06 February 2026. Franca Hoffmann of the California Institute of Technology presents "Efficient calibration for black-box ...

55:21
Franca Hoffmann - Efficient calibration for black-box physics-based models - IPAM at UCLA

183 views

2 days ago

Hausdorff Center for Mathematics
G. Samaey: Multilevel Markov chain and interacting particle methods for Bayesian inverse problems

This talk presents computational strategies for Bayesian inversion based on multilevel methods. We study Multilevel Markov ...

52:44
G. Samaey: Multilevel Markov chain and interacting particle methods for Bayesian inverse problems

29 views

5 days ago

GeotIS Studio
WHY is our climate changing? PLAYTYPE

The video “WHY is our climate changing?” is the first in the series. As part of the PLAYTYPE project at the @LIAG_Research, ...

5:06
WHY is our climate changing? PLAYTYPE

3 views

7 days ago

The Penrose Universe - 204
The Universe Is Trying to Compute Itself (And Failing)—Here's Why That Makes You Free

Universe #QuantumPhysics #RogerPenrose The Universe Is Trying to Compute Itself (And Failing)—Here's Why That Makes You ...

28:50
The Universe Is Trying to Compute Itself (And Failing)—Here's Why That Makes You Free

96 views

3 days ago

Academic Insight
Artificial Intelligence: A Modern Approach | Chapter 13 - Quantifying Uncertainty

This chapter introduces probability theory as a foundation for reasoning under uncertainty. You'll learn about random variables, ...

18:54
Artificial Intelligence: A Modern Approach | Chapter 13 - Quantifying Uncertainty

0 views

5 days ago

NUS Physics Condensed Matters Series
Quantum computing enhanced sensing

by Richard Allen on February 6 2026.

1:04:20
Quantum computing enhanced sensing

69 views

3 days ago

Murtugudde Climate Academy II
30 - How is AI helping with Understanding, Modelling and Predictions of Weather & Climate Extremes?

... and understanding and trustworthiness again uh explanability causality extreme event attribution uncertainty quantification and ...

23:06
30 - How is AI helping with Understanding, Modelling and Predictions of Weather & Climate Extremes?

0 views

1 day ago

MizuFlow
Why Spreadsheets Fail: Discrete-Event Simulation for Finance Using SimPy

Modern finance operations are too complex for spreadsheets. Queues, bottlenecks, delays, staffing capacity, and random arrival ...

7:36
Why Spreadsheets Fail: Discrete-Event Simulation for Finance Using SimPy

16 views

5 hours ago