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Affinity Workshop
Mon 13:30 Machine-Learning Powered Segmentation for Astronomical Images
Ramadimetse Sydil Kupa
Workshop
Sat 8:25 Analog-Optical Computation for optimization and machine-learning inference
Jannes Gladrow
Workshop
Fri 11:30 What's missing? A speculative sketch of the future of machine learning and science
Alexander Alemi
Workshop
Probabilistic-Machine-Learning-based Turbulence Model Learning with a Differentiable Solver
Atul Agrawal · Phaedon S Koutsourelakis
Affinity Workshop
Mon 13:30 Radiomics and Interpretable Machine Learning for Alzheimer's Disease Detection
Louise Bloch · Christoph M. Friedrich
Poster
Tue 15:15 FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
Dipam Goswami · Yuyang Liu · Bartłomiej Twardowski · Joost van de Weijer
Poster
Wed 8:45 Rethinking the Backward Propagation for Adversarial Transferability
Wang Xiaosen · Kangheng Tong · Kun He
Workshop
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
Workshop
Machine learning-assisted nanoscale photoelectrical sensing
Ziyan Zhu · Zhurun (Judy) Ji · Houssam Yassin · Zhi-Xun Shen · Thomas Devereaux
Workshop
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
Workshop
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
Workshop
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