Machine Learning for Complex Systems
FOCUS · MAR-C37 · ID: 3091548
Presentations
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Comparing the performance of calibration algorithms on a hierarchy of climate problems
ORAL
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Presenters
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Robert C King
Stanford University
Authors
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Robert C King
Stanford University
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Aditi Sheshadri
Stanford University
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Laura A Mansfield
University of Oxford
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Influence of Large-Scale Climate on Offshore Wind-Farm-Scale Environment: A Generative Deep Learning Approach
ORAL
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Presenters
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Balu Nadiga
Los Alamos National Laboratory (LANL)
Authors
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Balu Nadiga
Los Alamos National Laboratory (LANL)
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Anton Myshak
University of Houston
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Raghavendra Krishnamurthy
Pacific Northwest National Laboratory
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Numerical and Analytical Complex-time Transformations of Longitudinal Processes and Spacekime Analytics
ORAL · Invited
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Publication: • Zhang, Y, Shen, Y, Zhang, R, Liu, Y, Guo, Y, Deng, D and Dinov, ID. (2023) Numerical methods for computing the discrete and continuous Laplace transforms, arXiv:2304.13204, DOI: 10.48550/arXiv.2304.13204.<br>• Zhang, Y, Shen, Y, Zhang, R, Liu, Y, Guo, Y, Deng, D, Dinov, ID (2025). Numerical Methods for Computing the Discrete and Continuous Laplace Transforms, IMA Journal of Applied Mathematics (in review).<br>• Dinov, ID, and Shen, Y. Complex-time (Kime) Representation of Repeated-Measurement Longitudinal Data and Predictive Spacekime Analytics (in review).
Presenters
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Ivo D Dinov
University of Michigan
Authors
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Ivo D Dinov
University of Michigan
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Yueyang Shen
University of Michigan
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Machine Learning Approaches to Analyzing Atomic Force Microscopy-Force Spectroscopy Measurements of Cross-Linked Polyethylene
ORAL
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Presenters
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Benjamin Baylis
University of Guelph
Authors
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Benjamin Baylis
University of Guelph
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John R Dutcher
University of Guelph
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Prediction of Transcranial Magnetic Stimulation Responses from Structural and Functional Magnetic Resonance Images using Deep Neural Networks
ORAL · Invited
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Publication: [1] Mohannad Tashli, Muhammad Sabbir Alam, Jiaying Gong, Connor Lewis, Carrie L Peterson, Hoda Eldardiry, Jayasimha Atulasimha, Ravi L Hadimani, "Prediction of Electric Fields Induced by Transcranial Magnetic Stimulation in the Brain using a Deep Encoder-Decoder Convolutional Neural Network", https://www.biorxiv.org/content/10.1101/2022.10.27.513583v1 (under review)<br><br>[2] Yash R Saxena, Connor J Lewis, Joseph V Lee, Laura M Franke, Muhammad Sabbir Alam, Mohannad Tashli, Jayasimha Atulasimha, Ravi L Hadimani, "Optimizing a deep learning model for the prediction of electric field induced by transcranial magnetic stimulation for mild to moderate traumatic brain injury patients", AIP Advances 14, 015309, 2024.<br><br>[3] Muhammad Sabbir Alam, Walid Al Misba and Jayasimha Atulasimha, "Quantized non-volatile nanomagnetic domain wall synapse based autoencoder for efficient unsupervised network anomaly detection," Neuromorph. Comput. Eng. 4, 024012, 2024.
Presenters
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Jayasimha Atulasimha
Virginia Commonwealth University
Authors
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Jayasimha Atulasimha
Virginia Commonwealth University
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Ravi L. Hadimani
Virginia Commonwealth University
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Machine learning enhanced neuroimaging
ORAL
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Presenters
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Neha Goswami
Cold Spring Harbor Laboratory
Authors
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Neha Goswami
Cold Spring Harbor Laboratory
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Anthony M Zador
Cold Spring Harbor Laboratory
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Oral: A Sequential Transfer Learning Approach for Congenital Heart Defect Diagnosis from Ultrasound Videos
ORAL
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Presenters
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Shafin Sharaf
Indian Institute of Technology Madras
Authors
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Shafin Sharaf
Indian Institute of Technology Madras
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K Arul Prakash
Indian Institute of Technology, Madras
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Shanthi Chidambarathanu
Mehta's children Hospital, Chennai
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Physics-informed machine learning for radioisotope identification
ORAL
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Presenters
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Peter Lalor
Pacific Northwest National Laboratory
Authors
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Peter Lalor
Pacific Northwest National Laboratory
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JAMUN: Transferable Molecular Conformational Ensemble Generation with Walk-Jump Sampling
ORAL
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Publication: https://arxiv.org/abs/2410.14621
Presenters
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Bodhi P Vani
Genentech
Authors
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Ameya Daigavane
Massachusetts Institute of Technology
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Bodhi P Vani
Genentech
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Saeed Saremi
Genentech
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Joseph Kleinhenz
Genentech
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Joshua Rackers
Genentech
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Advancing predictive molecular modeling: Accuracy and stability of physics-based molecular many-body models
ORAL
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Publication: Zhu, X., Riera, M., Bull-Vulpe, E. F., & Paesani, F. (2023). MB-pol (2023): Sub-chemical Accuracy for Water Simulations from the Gas to the Liquid Phase. Journal of Chemical Theory and Computation, 19(12), 3551-3566.
Presenters
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Xuanyu Zhu
University of California, San Diego
Authors
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Xuanyu Zhu
University of California, San Diego
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Francesco Paesani
University of California, San Diego
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Marc Riera
University of California, San Diego
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Ethan F Bull-Vulpe
Univerisity of California, San Diego
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Diffusion Models for Ensemble Generation in Lattice Gauge Theory
ORAL
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Presenters
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Octavio Vega
University of Illinois at Urbana-Champaign
Authors
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Octavio Vega
University of Illinois at Urbana-Champaign
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Javad Komijani
ETH Zurich
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Marina Krstic Marinkovic
ETH Zurich
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Aida X El-Khadra
University of Illinois at Urbana-Champaign, University of Illinois Urbana-Champaign
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