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The Institute for Mathematics and its Applications connects scientists, engineers, and mathematicians in order to address scientific and technological challenges in a collaborative, engaging environment, developing transformative, new mathematics and exploring its applications, while training the next generation of researchers and educators. Visit us online at www.ima.umn.edu.

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Mathematics
University of Minnesota
Data Science
Industrial Problems

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Videos
IMA UMN
Low Distortion Embedding with Bottom-up Manifold Learning – Gal Mishne
01:01:28
Low Distortion Embedding with Bottom-up Manifold Learning – Gal Mishne

49 views

4 months ago

IMA UMN
The Wasserstein barycenter problem with signed weights – Matt Jacobs
00:58:29
The Wasserstein barycenter problem with signed weights – Matt Jacobs

47 views

4 months ago

IMA UMN
On Provable Posterior Sampling with Denoising Oracles – Joan Bruna
00:59:40
On Provable Posterior Sampling with Denoising Oracles – Joan Bruna

57 views

4 months ago

IMA UMN
Lie-Poisson Neural Networks: Data-Based Computing of Hamiltonian Systems – Vakhtang Poutkaradze
00:58:56
Lie-Poisson Neural Networks: Data-Based Computing of Hamiltonian Systems – Vakhtang Poutkaradze

58 views

4 months ago

IMA UMN
Reduced-order moment closure models for uncertainty quantification and data assimilation – Di Qi
00:58:52
Reduced-order moment closure models for uncertainty quantification and data assimilation – Di Qi

36 views

4 months ago

IMA UMN
Ridge analysis of time-frequency representations in the presence of Noise – Hau-Tieng Wu
01:00:06
Ridge analysis of time-frequency representations in the presence of Noise – Hau-Tieng Wu

191 views

9 months ago

IMA UMN
The Human Side of Data: Using Data Science to Drive Social Impact – Elizabeth Sprangel
00:56:09
The Human Side of Data: Using Data Science to Drive Social Impact – Elizabeth Sprangel

28 views

9 months ago

IMA UMN
From Research to Reality: challenges and opportunities in complex system design – Ian Levitt
01:02:20
From Research to Reality: challenges and opportunities in complex system design – Ian Levitt

48 views

9 months ago

IMA UMN
Intelligent Sampling Strategy for Online Monitoring of Complex Systems – Honghan Ye
00:56:36
Intelligent Sampling Strategy for Online Monitoring of Complex Systems – Honghan Ye

45 views

9 months ago

IMA UMN
Large Data Limits and Scaling Laws of t-SNE – Adam Pickarski
00:48:12
Large Data Limits and Scaling Laws of t-SNE – Adam Pickarski

134 views

9 months ago

IMA UMN
Inferring Manifolds from Noisy Data: Non-Parametric Estimation and Random Walks in Shape Space
01:02:00
Inferring Manifolds from Noisy Data: Non-Parametric Estimation and Random Walks in Shape Space

1,232 views

9 months ago

IMA UMN
Regulatory Science Challenges for AI Imaging Devices – Michelle Mastrianni
00:45:33
Regulatory Science Challenges for AI Imaging Devices – Michelle Mastrianni

118 views

1 year ago