Zobrazeno 1 - 10
of 503
pro vyhledávání: '"Khoda, Elham E"'
Autor:
Zhao, Haoran, Naylor, Andrew, Hsu, Shih-Chieh, Calafiura, Paolo, Farrell, Steven, Feng, Yongbing, Harris, Philip Coleman, Khoda, Elham E, Mccormack, William Patrick, Rankin, Dylan Sheldon, Ju, Xiangyang
Recent studies have shown promising results for track finding in dense environments using Graph Neural Network (GNN)-based algorithms. However, GNN-based track finding is computationally slow on CPUs, necessitating the use of coprocessors to accelera
Externí odkaz:
http://arxiv.org/abs/2402.09633
Autor:
Liu, Xiaohan, Chen, ChiJui, Huang, YanLun, Yang, LingChi, Khoda, Elham E, Chen, Yihui, Hauck, Scott, Hsu, Shih-Chieh, Lai, Bo-Cheng
Publikováno v:
Fast Machine Learning for Science, ICCAD 2023
Large-scale recordings of neural activity are providing new opportunities to study neural population dynamics. A powerful method for analyzing such high-dimensional measurements is to deploy an algorithm to learn the low-dimensional latent dynamics.
Externí odkaz:
http://arxiv.org/abs/2402.04274
Autor:
Jiang, Zhixing, Yin, Dennis, Khoda, Elham E, Loncar, Vladimir, Govorkova, Ekaterina, Moreno, Eric, Harris, Philip, Hauck, Scott, Hsu, Shih-Chieh
Publikováno v:
Machine Learning and the Physical Sciences Workshop, NeurIPS 2023
This work introduces a highly efficient implementation of the transformer architecture on a Field-Programmable Gate Array (FPGA) by using the \texttt{hls4ml} tool. Given the demonstrated effectiveness of transformer models in addressing a wide range
Externí odkaz:
http://arxiv.org/abs/2402.01047
Autor:
Agarwal, Manan, Alameda, Jay, Audenaert, Jeroen, Benoit, Will, Beveridge, Damon, Bhattacharya, Meghna, Chatterjee, Chayan, Chatterjee, Deep, Chen, Andy, Cholayil, Muhammed Saleem, Chou, Chia-Jui, Choudhary, Sunil, Coughlin, Michael, Dax, Maximilian, Desai, Aman, Di Luca, Andrea, Duarte, Javier Mauricio, Farrell, Steven, Feng, Yongbin, Goodarzi, Pooyan, Govorkova, Ekaterina, Graham, Matthew, Guiang, Jonathan, Gunny, Alec, Guo, Weichangfeng, Hakenmueller, Janina, Hawks, Ben, Hsu, Shih-Chieh, Jawahar, Pratik, Ju, Xiangyang, Katsavounidis, Erik, Kellis, Manolis, Khoda, Elham E, Lahbabi, Fatima Zahra, Lian, Van Tha Bik, Liu, Mia, Malanchev, Konstantin, Marx, Ethan, McCormack, William Patrick, McLeod, Alistair, Mo, Geoffrey, Moreno, Eric Anton, Muthukrishna, Daniel, Narayan, Gautham, Naylor, Andrew, Neubauer, Mark, Norman, Michael, Omer, Rafia, Pedro, Kevin, Peterson, Joshua, Pürrer, Michael, Raikman, Ryan, Raj, Shivam, Ricker, George, Robbins, Jared, Samani, Batool Safarzadeh, Scholberg, Kate, Schuy, Alex, Skliris, Vasileios, Soni, Siddharth, Sravan, Niharika, Sutton, Patrick, Villar, Victoria Ashley, Wang, Xiwei, Wen, Linqing, Wuerthwein, Frank, Yang, Tingjun, Yeh, Shu-Wei
Modern large-scale physics experiments create datasets with sizes and streaming rates that can exceed those from industry leaders such as Google Cloud and Netflix. Fully processing these datasets requires both sufficient compute power and efficient w
Externí odkaz:
http://arxiv.org/abs/2306.08106
Autor:
Bose, Tulika, Boveia, Antonio, Doglioni, Caterina, Griso, Simone Pagan, Hirschauer, James, Lipeles, Elliot, Liu, Zhen, Shah, Nausheen R., Wang, Lian-Tao, Agashe, Kaustubh, Alimena, Juliette, Baum, Sebastian, Berkat, Mohamed, Black, Kevin, Gardner, Gwen, Gherghetta, Tony, Greaves, Josh, Haehn, Maxx, Harris, Phil C., Harris, Robert, Hogan, Julie, Jayawardana, Suneth, Kahn, Abraham, Kalinowski, Jan, Knapen, Simon, Lewis, Ian M., Narain, Meenakshi, Pachal, Katherine, Reece, Matthew, Reina, Laura, Robens, Tania, Tricoli, Alessandro, Wagner, Carlos E. M., Xu, Riley, Yu, Felix, Zarnecki, Filip, Aboubrahim, Amin, Albert, Andreas, Albrow, Michael, Altmannshofer, Wolfgang, Andonian, Gerard, Apresyan, Artur, Assamagan, Kétévi Adikle, Azzi, Patrizia, Baer, Howard, Baker, Michael J., Banerjee, Avik, Barger, Vernon, Batell, Brian, Bauer, Martin, Beauchesne, Hugues, Bein, Samuel, Belyaev, Alexander, Beniwal, Ankit, Berggren, Mikael, Bhattiprolu, Prudhvi N., Blinov, Nikita, Blondel, Alain, Brandt, Oleg, Cacciapaglia, Giacomo, Capdevilla, Rodolfo, Carena, Marcela, Cazzaniga, Cesare, Celiberto, Francesco Giovanni, Cesarotti, Cari, Chekanov, Sergei V., Cheng, Hsin-Chia, Chen, Thomas Y., Chen, Yuze, Chivukula, R. Sekhar, Citron, Matthew, Cline, James, Cohen, Tim, Collins, Jack H., Corrigan, Eric, Craig, Nathaniel, Craik, Daniel, Crivellin, Andreas, Curtin, David, Darmora, Smita, Das, Arindam, Dasu, Sridhara, de Cosa, Annapaola, Deandrea, Aldo, Delgado, Antonio, Demiragli, Zeynep, d'Enterria, David, Deppisch, Frank F., Dermisek, Radovan, Desai, Nishita, Deshpande, Abhay, de Vries, Jordy, Dickinson, Jennet, Dienes, Keith R., Di Petrillo, Karri Folan, Dolan, Matthew J., Dong, Peter, Draper, Patrick, Drewes, Marco, Dreyer, Etienne, Du, Peizhi, Eble, Florian, Ekhterachian, Majid, Endo, Motoi, Essig, Rouven, Farr, Jesse N., Fassi, Farida, Feng, Jonathan L., Ferretti, Gabriele, Filipetto, Daniele, Flacke, Thomas, Franceschini, Roberto, Franzosi, Diogo Buarque, Fujii, Keisuke, Fuks, Benjamin, Gadam, Sri Aditya, Gao, Boyu, Garcia-Bellido, Aran, Garcia, Isabel Garcia, Garzelli, Maria Vittoria, Gedney, Stephen, Genest, Marie-Hélène, Ghosh, Tathagata, Golkowski, Mark, di Cortona, Giovanni Grilli, Guler, Emine Gurpinar, Guler, Yalcin, Guo, C., Graf, Nate, Haisch, Ulrich, Hajer, Jan, Hamaguchi, Koichi, Han, Tao, Harris, Philip, Heinemeyer, Sven, Hill, Christopher S., Hiltbrand, Joshua, Holmes, Tova Ray, Homiller, Samuel, Hong, Sungwoo, Hopkins, Walter, Hsu, Shih-Chieh, Ilten, Phil, Islam, Wasikul, Iwamoto, Sho, Jeans, Daniel, Jeanty, Laura, Jia, Haoyi, Jindariani, Sergo, Johnson, Daniel, Kahlhoefer, Felix, Kahn, Yonatan, Karchin, Paul, Katsouleas, Thomas, Kawada, Shin-ichi, Kawamura, Junichiro, Kelso, Chris, Khoda, Elham E, Khoze, Valery, Kim, Doojin, Kitahara, Teppei, Klaric, Juraj, Klasen, Michael, Kong, Kyoungchul, Kotlarski, Wojciech, Kotwal, Ashutosh V., Kozaczuk, Jonathan, Kriske, Richard, Kulkarni, Suchita, Kumar, Jason, Kunkel, Manuel, Landsberg, Greg, Lane, Kenneth, Lange, Clemens, Lee, Lawrence, Liao, Jiajun, Lillard, Benjamin, Li, Lingfeng, Li, Shuailong, Li, Shu, List, Jenny, Li, Tong, Liu, Hongkai, Liu, Jia, Long, Jonathan D, Lunghi, Enrico, Lyu, Kun-Feng, Marfatia, Danny, Martinez, Dakotah, Martin, Stephen P., McGinnis, Navin, McGinty, Karrick, Mękała, Krzysztof, Meloni, Federico, Mikulenko, Oleksii, Huang, Ming, Mishra, Rashmish K., Mitra, Manimala, Mitsou, Vasiliki A., Moon, Chang-Seong, Moreno, Alexander, Moroi, Takeo, Mourou, Gerard, Mrowietz, Malte, Muggli, Patric, Nakajima, Jurina, Nath, Pran, Nelson, J., Neubert, Matthias, Nosler, Laura, de Vera, Maria Teresa Núñez Pardo, Okada, Nobuchika, Okada, Satomi, Okorokov, Vitalii A., Onel, Yasar, Ou, Tong, Ovchynnikov, Maksym, Padhan, Rojalin, Pani, Priscilla, Panizzi, Luca, Papaefstathiou, Andreas, Pedro, Kevin, Peña, Cristián, Piazza, Federica, Pinfold, James, Pinna, Deborah, Porod, Werner, Potter, Chris, Prim, Markus Tobias, Profumo, Stefano, Proudfoot, James, Rai, Mudit, Rajec, Filip, Ramos, Reese, Ramsey-Musolf, Michael J., Resta-Lopez, Javier, Reuter, Jürgen, Ringwald, Andreas, Rizzi, Chiara, Rizzo, Thomas G., Rossi, Giancarlo, Ruiz, Richard, Rygaard, L., Sahai, Aakash A., Salam, Shadman, Sandick, Pearl, Sathyan, Deepak, Scherb, Christiane, Schwaller, Pedro, Schwarze, Leonard, Scott, Pat, Sekmen, Sezen, Sengupta, Dibyashree, Sen, S., Sfyrla, Anna, Shackelford, Eric, Sharma, T., Sharma, Varun, Shelton, Jessie, Shepherd, William, Shin, Seodong, Simmons, Elizabeth H., Sloneker, Zoie, Sierra, Carlos Vázquez, Sjöstrand, Torbjörn, Snyder, Scott, Song, Huayang, Stark, Giordon, Stengel, Patrick, Stohr, Joachim, Stolarski, Daniel, Strassler, Matt, Strobbe, Nadja, Gonski, Julia, Suarez, Rebeca Gonzalez, Suehara, Taikan, Su, Shufang, Su, Wei, Syed, Raza M., Tait, Tim M. P., Tajima, Toshiki, Tang, Andy, Tata, Xerxes, Tchalokov, Teodor, Thamm, Andrea, Thomas, Brooks, Toro, Natalia, Tran, Nhan V., Truong, Loan, Tsai, Yu-Dai, Tuecke, Eva, Venkatasubramanian, Nikhilesh, Verhaaren, Chris B., Vuosalo, Carl, Wang, Xiao-Ping, Wang, Xing, Wang, Yikun, Wang, Zhen, Weber, Christian, White, Glen, White, Martin, Williams, Anthony G., Williams, Brady, Williams, Mike, Willocq, Stephane, Woodcock, Alex, Wu, Yongcheng, Xie, Ke-Pan, Xie, Keping, Xie, Si, Yeh, C. -H., Yonamine, Ryo, Yu, David, Yu, S. -S., Zaazoua, Mohamed, Żarnecki, Aleksander Filip, Zembaczynski, Kamil, Zhang, Danyi, Zhang, Jinlong, Zimmermann, Frank, Zurita, Jose
This is the Snowmass2021 Energy Frontier (EF) Beyond the Standard Model (BSM) report. It combines the EF topical group reports of EF08 (Model-specific explorations), EF09 (More general explorations), and EF10 (Dark Matter at Colliders). The report in
Externí odkaz:
http://arxiv.org/abs/2209.13128
Autor:
Belloni, Alberto, Freitas, Ayres, Tian, Junping, Apyan, Juan Alcaraz Maestre Aram, Azartash-Namin, Bianca, Azzurri, Paolo, Banerjee, Swagato, Beyer, Jakob, Bhattacharya, Saptaparna, de Blas, Jorge, Blondel, Alain, Britzger, Daniel, Dam, Mogens, Du, Yong, d'Enterria, David, Fujii, Keisuke, Grojean, Christophe, Gu, Jiayin, Han, Tao, Hildreth, Michael, Irles, Adrián, Janot, Patrick, Jeans, Daniel, Kawale, Mayuri, Khoda, Elham E, Lane, Samuel, Lewis, Ian, Liang, Zhijun, List, Jenny, Liu, Zhen, Ma, Yang, Miralles, Victor, Mizuno, Takahiro, Mwewa, Chilufya, Narain, Meenakshi, Nedic, Luka, Neubauer, Mark S., Paranjape, Chaitanya, Peskin, Michael, Petti, Roberto, Pleier, Marc-André, Poeschl, Roman, Potamianos, Karolos, Reina, Laura, Reuter, Jürgen, Robens, Tania, Roloff, Philipp, Roney, Michael, Ruan, Manqi, Ruiz, Richard, Schuy, Alex, Shepherd, William, Stolarski, Daniel, Stupak, John, Suehara, Taikan, Tenchini, Roberto, Tricoli, Alessandro, Vryonidou, Eleni, Vos, Marcel, Waits, Connor, Wilson, Graham, Wu, Yongcheng, Xie, Keping, Yang, Siqi, Yang, Tianyi, Yumino, Keita, Zhou, Shuang-Yong, Zhu, Junjie
The precise measurement of physics observables and the test of their consistency within the standard model (SM) are an invaluable approach, complemented by direct searches for new particles, to determine the existence of physics beyond the standard m
Externí odkaz:
http://arxiv.org/abs/2209.08078
Autor:
Benelli, Gabriele, Chen, Thomas Y., Duarte, Javier, Feickert, Matthew, Graham, Matthew, Gray, Lindsey, Hackett, Dan, Harris, Phil, Hsu, Shih-Chieh, Kasieczka, Gregor, Khoda, Elham E., Komm, Matthias, Liu, Mia, Neubauer, Mark S., Norberg, Scarlet, Perloff, Alexx, Rieger, Marcel, Savard, Claire, Terao, Kazuhiro, Thais, Savannah, Roy, Avik, Vlimant, Jean-Roch, Chachamis, Grigorios
The growing role of data science (DS) and machine learning (ML) in high-energy physics (HEP) is well established and pertinent given the complex detectors, large data, sets and sophisticated analyses at the heart of HEP research. Moreover, exploiting
Externí odkaz:
http://arxiv.org/abs/2207.09060
Autor:
Khoda, Elham E, Rankin, Dylan, de Lima, Rafael Teixeira, Harris, Philip, Hauck, Scott, Hsu, Shih-Chieh, Kagan, Michael, Loncar, Vladimir, Paikara, Chaitanya, Rao, Richa, Summers, Sioni, Vernieri, Caterina, Wang, Aaron
Recurrent neural networks have been shown to be effective architectures for many tasks in high energy physics, and thus have been widely adopted. Their use in low-latency environments has, however, been limited as a result of the difficulties of impl
Externí odkaz:
http://arxiv.org/abs/2207.00559
Autor:
Harris, Philip, Katsavounidis, Erik, McCormack, William Patrick, Rankin, Dylan, Feng, Yongbin, Gandrakota, Abhijith, Herwig, Christian, Holzman, Burt, Pedro, Kevin, Tran, Nhan, Yang, Tingjun, Ngadiuba, Jennifer, Coughlin, Michael, Hauck, Scott, Hsu, Shih-Chieh, Khoda, Elham E, Chen, Deming, Neubauer, Mark, Duarte, Javier, Karagiorgi, Georgia, Liu, Mia
Machine learning (ML) is becoming an increasingly important component of cutting-edge physics research, but its computational requirements present significant challenges. In this white paper, we discuss the needs of the physics community regarding ML
Externí odkaz:
http://arxiv.org/abs/2203.16255
Autor:
Wang, Zhen, Zhu, Xuliang, Khoda, Elham E, Hsu, Shih-Chieh, Konstantinidis, Nikolaos, Li, Ke, Li, Shu, Ramsey-Musolf, Michael J., Wu, Yanda, Zhang, Yuwen E.
A strong first-order electroweak phase transition (EWPT) can be induced by light new physics weakly coupled to the Higgs. This study focuses on a scenario in which the first-order EWPT is driven by a light scalar $s$ with a mass between 15-60 GeV. A
Externí odkaz:
http://arxiv.org/abs/2203.10184