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Workshop
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Sat 8:25
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Analog-Optical Computation for optimization and machine-learning inference
Jannes Gladrow
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Affinity Workshop
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Mon 13:30
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Machine-Learning Powered Segmentation for Astronomical Images
Ramadimetse Sydil Kupa
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Workshop
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Benchmarking of Fast and Interpretable UF Machine Learning Potentials
Pawan Prakash
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Workshop
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Probabilistic-Machine-Learning-based Turbulence Model Learning with a Differentiable Solver
Atul Agrawal · Phaedon S Koutsourelakis
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Workshop
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Fri 12:30
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Unlocking the Potential of Planetary-Scale Machine Learning for a Sustainable Future
Hannah Kerner
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Workshop
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Fri 8:50
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Accelerated Sampling of Rare Events using a Neural Network Bias Potential
Xinru Hua · Rasool Ahmad · Jose Blanchet · Wei Cai
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Workshop
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Machine learning-assisted nanoscale photoelectrical sensing
Ziyan Zhu · Zhurun (Judy) Ji · Houssam Yassin · Zhi-Xun Shen · Thomas Devereaux
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Workshop
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On the Promise and Challenges of Foundation Models for Learning-based Cloud Systems Management
Haoran Qiu · Weichao Mao · Chen Wang · Hubertus Franke · Zbigniew Kalbarczyk · Tamer Basar · Ravishankar Iyer
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Workshop
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Towards a Post-Market Monitoring Framework for Machine Learning-based Medical Devices: A case study
Jean Feng · Adarsh Subbaswamy · Alexej Gossmann · Harvineet Singh · Berkman Sahiner · Mi-Ok Kim · Gene Pennello · Nicholas Petrick · Romain Pirracchio · Fan Xia
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Workshop
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On the Promise and Challenges of Foundation Models for Learning-based Cloud Systems Management
Haoran Qiu · Weichao Mao · Chen Wang · Hubertus Franke · Zbigniew Kalbarczyk · Tamer Basar · Ravishankar Iyer
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Workshop
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Machine learning-based compression of quantum many body physics: PCA and autoencoder representation of the vertex function
Jiawei Zang · Matija Medvidović · Dominik Kiese · Domenico Di Sante · Anirvan Sengupta · Andy Millis
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Poster
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Thu 15:00
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Focus Your Attention when Few-Shot Classification
Haoqing Wang · Shibo Jie · Zhihong Deng
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