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Article: Jensen–Shannon divergence based novel loss functions for Bayesian neural networks

Submitted by susanta on
research
machine learning
Bayesian Neural Networks
Variational Inference
KL divergence
JS divergence
machine learning; optimization; uncertainty quantification

Ponkrshnan Thiagarajan, Susanta Ghosh, "Jensen–Shannon divergence based novel loss functions for Bayesian neural networks", Neurocomputing, 2024, 129115, ISSN 0925-2312.  https://doi.org/10.1016/j.neucom.2024.129115  

Highlights

 

Webinar, USACM, TTA-Uncertainty Quantification and Probabilistic Modeling:: Title: Measuring dataset similarity in clustering-based, uncertainty-aware federated learning. Speaker: Prof. Chao Hu, University of Connecticut

Submitted by susanta on

This is a reminder that our next monthly webinar is December 5, 3-4pm EST. The speaker will be Associate Professor Chao Hu from University of Connecticut. We are hoping the format will promote a lively interactive discussion and engage both junior and senior members of our community. Look forward to seeing you there.

Monthly Webinar by USACM, TTA-Uncertainty Quantification and Probabilistic Modeling

December 5; 3pm EST

Speaker: Associate Professor Chao Hu, University of Connecticut

USACM: UQ TTA Webinar. Starting soon. Title: Multifidelity linear regression for scientific machine learning from scarce data

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This is a reminder that our next monthly webinar is October 10, 3-4pm ET, is starting soon. 

Monthly Webinar

October 10; 3pm ET

Speaker: Elizabeth Qian, Georgia Tech

Title: Multifidelity linear regression for scientific machine learning from scarce data

Article: Electronic structure prediction of multi- million atom systems through uncertainty quantification enabled transfer learning

Submitted by susanta on
research

Pathrudkar, S., Thiagarajan, P., Agarwal, S. et al. Electronic structure prediction of multi-million atom systems through uncertainty quantification enabled transfer learning. npj Comput Mater 10, 175 (2024). https://doi.org/10.1038/s41524-024-01305-7 

Article: Bayesian Calibration and Uncertainty Quantification of a Rate-dependent Cohesive Zone Model for Polymer Interfaces

Submitted by susanta on
research
cohesive zone model
rate-dependent fracture
viscoplasticity
Bayesian calibration
uncertainty quantification
sensitivity analysis

Ponkrshnan Thiagarajan, Trisha Sain, Susanta Ghosh, "Bayesian calibration and uncertainty quantification of a rate-dependent cohesive zone model for polymer interfaces", Engineering Fracture Mechanics,

Volume 309, 2024, 110374, ISSN 0013-7944, https://doi.org/10.1016/j.engfracmech.2024.110374.

USACM: UQ TTA Webinar. Title: Validation of Displacement Damage Models

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Webinar:  Join Zoom Meeting
https://us06web.zoom.us/j/92756548524?pwd=cTFoRXIvNVN4dVFoaHEzK0pQQjhldz09 (Meeting ID: 927 5654 8524/Passcode: 934745)

September 23; 2pm ET

Speaker: Kathryn Maupin, Sandia National Laboratories

Title: Validation of Displacement Damage Models

USACM Nano-Scale TTA Webinar. Title: More than physics, more than data: Integrated machine-learning models for materials

Submitted by susanta on

Our speaker will be Prof. Michele Ceriotti from EPFL.

We look forward to seeing you there.

Date/Time: September 25; 2-3pm CST

Join Zoom Meeting: (https://us06web.zoom.us/j/84541274013?pwd=ZDhuM09BaUlVVlBuREhEV0sweGFlZz09: Meeting ID: 845 4127 4013/Passcode: 799065)

Speaker: Michele Ceriotti, EPFL

Title: More than physics, more than data: Integrated machine-learning models for materials

Abstract:

USACM Nano-Scale TTA Webinar by Prof. Gideon Simpson

Submitted by susanta on

 

Join Zoom Meeting: (https://us06web.zoom.us/j/84541274013?pwd=ZDhuM09BaUlVVlBuREhEV0sweGFlZ…: Meeting ID: 845 4127 4013/Passcode: 799065)

 

Date/Time: February 28; 2-3pm CST

Speaker: Gideon Simpson, Drexel University

Discussant: Petr Plechac, University of Delaware

 

Title: Learning dynamics with random Fourier features

USACM Nano-Scale TTA Webinar by Prof. Surya R. Kalidindi

Submitted by susanta on

USACM Nanotechnology and Lower Scale Phenomena TTA,  webinar is on Jan 31, at 2-3 pm central time.

Speaker: Prof. Surya R. Kalidindi from Georgia Institute of Technology

We have Prof. Raymundo Arróyave of Texas A&M University as the discussant.

We are hoping the format will promote a lively interactive discussion and engage members of our community. We look forward to seeing you there.  Please forward this to anyone who may be interested.

Join Zoom Meeting

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