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Workshop
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Collaborative Multidisciplinary Design Optimization with Neural Networks
Jean de Becdelievre · Ilan Kroo
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Workshop
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Efficient Nanopore Optimization by CNN-accelerated Deep Reinforcement Learning
Yuyang Wang · Zhonglin Cao · Amir Barati Farimani
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Workshop
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Electric Vehicle Range Improvement by Utilizing Deep Learning to Optimize Occupant Thermal Comfort
Alok Warey · Shailendra Kaushik · Bahram Khalighi · Michael Cruse · Ganesh Venkatesan
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Workshop
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A Learning-boosted Quasi-Newton Method for AC Optimal Power Flow
Kyri Baker
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Workshop
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Simultaneous Process Design and Control Optimization using Reinforcement Learning
Steven Sachio · Antonio del Rio Chanona · Panagiotis Petsagkourakis
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Workshop
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Scalable Combinatorial Bayesian Optimization with Tractable Statistical models
Aryan Deshwal · Syrine Belakaria · Janardhan Rao Doppa
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Poster
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Thu 21:00
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Transferable Graph Optimizers for ML Compilers
Yanqi Zhou · Sudip Roy · Amirali Abdolrashidi · Daniel Wong · Peter Ma · Qiumin Xu · Hanxiao Liu · Phitchaya Phothilimtha · Shen Wang · Anna Goldie · Azalia Mirhoseini · James Laudon
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Workshop
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Multi-Objective Multi-Fidelity Hyperparameter Optimization with Application to Fairness
Robin Schmucker
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Workshop
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Context-Aware Urban Energy Efficiency Optimization Using Hybrid Physical Models
Benjamin Choi
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Workshop
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Optimal District Heating in China with Deep Reinforcement Learning
Adrien Le Coz
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Poster
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Tue 9:00
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Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect
Kaihua Tang · Jianqiang Huang · Hanwang Zhang
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Affinity Workshop
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Mon 17:11
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Robust Optimization over Networks Using Distributed Restarting of Accelerated Dynamics
Daniel Ochoa
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