Improved particle-flow event reconstruction with scalable neural networks for current and future particle detectors von Pata, Joosep, Wulff, Eric, Mokhtar, Farouk, Southwick, David, Zhang, Mengke, Girone, Maria, Duarte, Javier

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Model Performance Prediction for Hyperparameter Optimization of Deep Learning Models Using High Performance Computing and Quantum Annealing von García Amboage, Juan Pablo, Wulff, Eric, Girone, Maria, Pena, Tomás F.

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Conceptualizing Student Affect for Science and Technology at the Middle School Level: Development and Implementation of a Measure of Affect in Science and Technology (MAST) von Romine, William L., Sadler, Troy D., Wulff, Eric P.

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Hyperparameter optimization of data-driven AI models on HPC systems von Wulff, Eric, Girone, Maria, Pata, Joosep

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Machine Learning for Particle Flow Reconstruction at CMS von Pata, Joosep, Duarte, Javier, Mokhtar, Farouk, Wulff, Eric, Yoo, Jieun, Vlimant, Jean-Roch, Pierini, Maurizio, Girone, Maria

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Benchmark data and model independent event classification for the large hadron collider von Aarrestad, Thea, van Beekveld, Melissa, Bona, Marcella, Boveia, Antonio, Caron, Sascha, Davies, Joe, De Simone, Andrea, Doglioni, Caterina, Duarte, Javier M., Farbin, Amir, Gupta, Honey, Hendriks, Luc, Heinrich, Lukas, Howarth, James, Jawahar, Pratik, Jueid, Adil, Lastow, Jessica, Leinweber, Adam, Mamuzic, Judita, Merényi, Erzsébet, Morandini, Alessandro, Moskvitina, Polina, Nellist, Clara, Ngadiuba, Jennifer, Ostdiek, Bryan, Pierini, Maurizio, Ravina, Baptiste, de Austri, Roberto R., Sekmen, Sezen, Touranakou, Mary, Vaškevičiūte, Marija, Vilalta, Ricardo, Vlimant, Jean Roch, Verheyen, Rob, White, Martin, Wulff, Eric, Wallin, Erik, Wozniak, Kinga A., Zhang, Zhongyi

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Distributed hybrid quantum-classical performance prediction for hyperparameter optimization von Wulff, Eric, Garcia Amboage, Juan Pablo, Aach, Marcel, Gislason, Thorsteinn Eli, Ingolfsson, Thorsteinn Kristinn, Ingolfsson, Tomas Kristinn, Pasetto, Edoardo, Delilbasic, Amer, Riedel, Morris, Sarma, Rakesh, Girone, Maria, Lintermann, Andreas

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Using the Practice of Modeling to Support Preservice Teachers' Reflection on the Process of Teaching and Learning von Zangori, Laura, Friedrichsen, Patricia J., Wulff, Eric, Womack, Andrew J.

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The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider von Aarrestad, Thea, van Beekveld, Melissa, Bona, Marcella, Boveia, Antonio, Caron, Sascha, Davies, Joe, de Simone, Andrea, Doglioni, Caterina, Duarte, Javier, Farbin, Amir, Gupta, Honey, Hendriks, Luc, Heinrich, Lukas A., Howarth, James, Jawahar, Pratik, Jueid, Adil, Lastow, Jessica, Leinweber, Adam, Mamuzic, Judita, Merényi, Erzsébet, Morandini, Alessandro, Moskvitina, Polina, Nellist, Clara, Ngadiuba, Jennifer, Ostdiek, Bryan, Pierini, Maurizio, Ravina, Baptiste, Ruiz de Austri, Roberto, Sekmen, Sezen, Touranakou, Mary, Vaškeviciute, Marija, Vilalta, Ricardo, Vlimant, Jean-Roch, Verheyen, Rob, White, Martin, Wulff, Eric, Wallin, Erik, Wozniak, Kinga A., Zhang, Zhongyi

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Hyperparameter optimization of data-driven AI models on HPC systems von Wulff, Eric, Girone, Maria, Pata, Joosep

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Improved particle-flow event reconstruction with scalable neural networks for current and future particle detectors von Pata, Joosep, Wulff, Eric, Mokhtar, Farouk, Southwick, David, Zhang, Mengke, Girone, Maria, Duarte, Javier

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Model Performance Prediction for Hyperparameter Optimization of Deep Learning Models Using High Performance Computing and Quantum Annealing von Amboage, Juan Pablo García, Wulff, Eric, Girone, Maria, Pena, Tomás F

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Progress towards an improved particle flow algorithm at CMS with machine learning von Mokhtar, Farouk, Pata, Joosep, Duarte, Javier, Wulff, Eric, Pierini, Maurizio, Vlimant, Jean-Roch

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Hyperparameter optimization, quantum-assisted model performance prediction, and benchmarking of AI-based High Energy Physics workloads using HPC von Wulff, Eric, Girone, Maria, Southwick, David, Amboage, Juan Pablo García, Cuba, Eduard

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Machine Learning for Particle Flow Reconstruction at CMS von Pata, Joosep, Duarte, Javier, Mokhtar, Farouk, Wulff, Eric, Yoo, Jieun, Jean-Roch Vlimant, Pierini, Maurizio, Girone, Maria

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MLPF results on the simulated CLIC dataset von Pata, Joosep, Wulff, Eric, Duarte, Javier, Mokhtar, Farouk, Zhang, Mengke, Girone, Maria, Southwick, David

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Simulated datasets for detector and particle flow reconstruction: CLIC detector, hit-based data, machine learning format von Pata, Joosep, Wulff, Eric, Duarte, Javier, Mokhtar, Farouk, Zhang, Mengke, Girone, Maria, Southwick, David

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Simulated datasets for detector and particle flow reconstruction: CLIC detector, machine learning format von Pata, Joosep, Wulff, Eric, Duarte, Javier, Mokhtar, Farouk, Zhang, Mengke, Girone, Maria, Southwick, David

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Simulated datasets for detector and particle flow reconstruction: CLIC detector von Pata, Joosep, Wulff, Eric, Duarte, Javier, Mokhtar, Farouk, Zhang, Mengke, Girone, Maria, Southwick, David

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Progress towards an improved particle flow algorithm at CMS with machine learning von Mokhtar, Farouk, Pata, Joosep, Duarte, Javier, Wulff, Eric, Pierini, Maurizio, Jean-Roch Vlimant

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