Zobrazeno 1 - 10
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pro vyhledávání: '"Pareek A"'
Self-Distillation is a special type of knowledge distillation where the student model has the same architecture as the teacher model. Despite using the same architecture and the same training data, self-distillation has been empirically observed to i
Externí odkaz:
http://arxiv.org/abs/2407.04600
Autor:
Pareek, Akash
The (preorder) traversal conjecture states that starting with an initial tree, the cost to search a sequence $S=(s_1,s_2,\dots,s_n) \in [n]^n$ in a binary search tree (BST) algorithm is $O(n)$, where $S$ is obtained by a preorder traversal of some BS
Externí odkaz:
http://arxiv.org/abs/2407.03666
Generative AI systems have been heralded as tools for augmenting human creativity and inspiring divergent thinking, though with little empirical evidence for these claims. This paper explores the effects of exposure to AI-generated images on measures
Externí odkaz:
http://arxiv.org/abs/2403.11164
Autor:
Pareek, Vivek, Bacon, David R., Zhu, Xing, Chan, Yang-Hao, Bussolotti, Fabio, Chan, Nicholas S., Urquizo, Joel Pérez, Watanabe, Kenji, Taniguchi, Takashi, Man, Michael K. L., Madéo, Julien, Qiu, Diana Y., Goh, Kuan Eng Johnson, da Jornada, Felipe H., Dani, Keshav M.
Inducing novel quantum phases and topologies in materials using intense light fields is a key objective of modern condensed matter physics, but nonetheless faces significant experimental challenges. Alternately, theory predicts that in the dense limi
Externí odkaz:
http://arxiv.org/abs/2403.08725
Quantum computers hold promise for solving problems intractable for classical computers, especially those with high time and/or space complexity. The reduction of the power flow (PF) problem into a linear system of equations, allows formulation of qu
Externí odkaz:
http://arxiv.org/abs/2402.08617
Autor:
Chalermsook, Parinya, Gupta, Manoj, Jiamjitrak, Wanchote, Pareek, Akash, Yingchareonthawornchai, Sorrachai
The access lemma (Sleator and Tarjan, JACM 1985) is a property of binary search trees that implies interesting consequences such as static optimality, static finger, and working set property. However, there are known corollaries of the dynamic optima
Externí odkaz:
http://arxiv.org/abs/2312.15426
Autor:
Abend, Sven, Allard, Baptiste, Alonso, Iván, Antoniadis, John, Araujo, Henrique, Arduini, Gianluigi, Arnold, Aidan, Aßmann, Tobias, Augst, Nadja, Badurina, Leonardo, Balaz, Antun, Banks, Hannah, Barone, Michele, Barsanti, Michele, Bassi, Angelo, Battelier, Baptiste, Baynham, Charles, Quentin, Beaufils, Belic, Aleksandar, Beniwal, Ankit, Bernabeu, Jose, Bertinelli, Francesco, Bertoldi, Andrea, Biswas, Ikbal Ahamed, Blas, Diego, Boegel, Patrick, Bogojevic, Aleksandar, Böhm, Jonas, Böhringer, Samuel, Bongs, Kai, Bouyer, Philippe, Brand, Christian, Brimis, Apostolos, Buchmueller, Oliver, Cacciapuoti, Luigi, Calatroni, Sergio, Canuel, Benjamin, Caprini, Chiara, Caramete, Ana, Caramete, Laurentiu, Carlesso, Matteo, Carlton, John, Casariego, Mateo, Charmandaris, Vassilis, Chen, Yu-Ao, Chiofalo, Maria Luisa, Cimbri, Alessia, Coleman, Jonathon, Constantin, Florin Lucian, Contaldi, Carlo, Cui, Yanou, Da Ros, Elisa, Davies, Gavin, Rosendo, Esther del Pino, Deppner, Christian, Derevianko, Andrei, de Rham, Claudia, De Roeck, Albert, Derr, Daniel, Di Pumpo, Fabio, Djordjevic, Goran, Dobrich, Babette, Domokos, Peter, Dornan, Peter, Doser, Michael, Drougakis, Giannis, Dunningham, Jacob, Duspayev, Alisher, Easo, Sajan, Eby, Joshua, Efremov, Maxim, Ekelof, Tord, Elertas, Gedminas, Ellis, John, Evans, David, Fadeev, Pavel, Fanì, Mattia, Fassi, Farida, Fattori, Marco, Fayet, Pierre, Felea, Daniel, Feng, Jie, Friedrich, Alexander, Fuchs, Elina, Gaaloul, Naceur, Gao, Dongfeng, Gardner, Susan, Garraway, Barry, Gauguet, Alexandre, Gerlach, Sandra, Gersemann, Matthias, Gibson, Valerie, Giese, Enno, Giudice, Gian Francesco, Glasbrenner, Eric, Gündogan, Mustafa, Haehnelt, Martin G., Hakulinen, Timo, Hammerer, Klemens, Hanımeli, Ekim Taylan, Harte, Tiffany, Hawkins, Leonie, Hees, Aurelien, Heise, Jaret, Henderson, Victoria, Herrmann, Sven, Hird, Thomas, Hogan, Jason, Holst, Bodil, Holynski, Michael, Hussain, Kamran, Janson, Gregor, Jeglič, Peter, Jelezko, Fedor, Kagan, Michael, Kalliokoski, Matti, Kasevich, Mark, Kehagias, Alex, Kilian, Eva, Koley, Soumen, Konrad, Bernd, Kopp, Joachim, Kornakov, Georgy, Kovachy, Tim, Krutzik, Markus, Kumar, Mukesh, Kumar, Pradeep, Laemmerzahl, Claus, Landsberg, Greg, Langlois, Mehdi, Lanigan, Bryony, Lellouch, Samuel, Leone, Bruno, Lafitte, Christophe Le Poncin, Lewicki, Marek, Leykauf, Bastian, Lezeik, Ali, Lombriser, Lucas, López, Luis, Asamar, Elias López, Monjaraz, Cristian López, Luciano, Gaetano, Mohammed, Mohammed Mahmoud, Maleknejad, Azadeh, Markus, Krutzik, Marteau, Jacques, Massonnet, Didier, Mazumdar, Anupam, McCabe, Christopher, Meister, Matthias, Menu, Jonathan, Messineo, Giuseppe, Micalizio, Salvatore, Millington, Peter, Milosevic, Milan, Mitchell, Jeremiah, Montero, Mario, Morley, Gavin, Müller, Jürgen, Müstecaplıoğlu, Özgür, Ni, Wei-Tou, Noller, Johannes, Odžak, Senad, Oi, Daniel, Omar, Yasser, Pahl, Julia, Paling, Sean, Pandey, Saurabh, Pappas, George, Pareek, Vinay, Pasatembou, Elizabeth, Pelucchi, Emanuele, Santos, Franck Pereira dos, Piest, Baptist, Pikovski, Igor, Pilaftsis, Apostolos, Plunkett, Robert, Poggiani, Rosa, Prevedelli, Marco, Puputti, Julia, Veettil, Vishnupriya Puthiya, Quenby, John, Rafelski, Johann, Rajendran, Surjeet, Rasel, Ernst Maria, Sfar, Haifa Rejeb, Reynaud, Serge, Richaud, Andrea, Rodzinka, Tangui, Roura, Albert, Rudolph, Jan, Sabulsky, Dylan, Safronova, Marianna, Santamaria, Luigi, Schilling, Manuel, Schkolnik, Vladimir, Schleich, Wolfgang, Schlippert, Dennis, Schneider, Ulrich, Schreck, Florian, Schubert, Christian, Schwersenz, Nico, Semakin, Aleksei, Sergijenko, Olga, Shao, Lijing, Shipsey, Ian, Singh, Rajeev, Smerzi, Augusto, Sopuerta, Carlos F., Spallicci, Alessandro, Stefanescu, Petruta, Stergioulas, Nikolaos, Ströhle, Jannik, Struckmann, Christian, Tentindo, Silvia, Throssell, Henry, Tino, Guglielmo M., Tinsley, Jonathan, Mircea, Ovidiu Tintareanu, Tkalčec, Kimberly, Tolley, Andrew, Tornatore, Vincenza, Torres-Orjuela, Alejandro, Treutlein, Philipp, Trombettoni, Andrea, Tsai, Yu-Dai, Ufrecht, Christian, Ulmer, Stefan, Valuch, Daniel, Vaskonen, Ville, Aceves, Veronica Vazquez, Vitanov, Nikolay, Vogt, Christian, von Klitzing, Wolf, Vukics, András, Walser, Reinhold, Wang, Jin, Warburton, Niels, Webber-Date, Alexander, Wenzlawski, André, Werner, Michael, Williams, Jason, Windapssinger, Patrcik, Wolf, Peter, Wörner, Lisa, Xuereb, André, Yahia, Mohamed, Cruzeiro, Emmanuel Zambrini, Zarei, Moslem, Zhan, Mingsheng, Zhou, Lin, Zupan, Jure, Zupanič, Erik
This document presents a summary of the 2023 Terrestrial Very-Long-Baseline Atom Interferometry Workshop hosted by CERN. The workshop brought together experts from around the world to discuss the exciting developments in large-scale atom interferomet
Externí odkaz:
http://arxiv.org/abs/2310.08183
This work presents an efficient data-driven method to construct probabilistic voltage envelopes (PVE) using power flow learning in grids with network contingencies. First, a network-aware Gaussian process (GP) termed Vertex-Degree Kernel (VDK-GP), de
Externí odkaz:
http://arxiv.org/abs/2310.00763
In this article, we have studied the nuclear modification factor measured in Pb-Pb collisions ($R_{PbPb}$) for $\pi^{\pm}$, $K^{\pm}$, $p+\bar{p}$, $K^{*0} + \bar{K^{*0}}$, $\phi$ and in p-Pb collisions ($R_{pPb}$) for $\pi^{\pm}$, $K^{\pm}$, $p+\bar
Externí odkaz:
http://arxiv.org/abs/2309.17071
Autor:
Van Veen, Dave, Van Uden, Cara, Blankemeier, Louis, Delbrouck, Jean-Benoit, Aali, Asad, Bluethgen, Christian, Pareek, Anuj, Polacin, Malgorzata, Reis, Eduardo Pontes, Seehofnerova, Anna, Rohatgi, Nidhi, Hosamani, Poonam, Collins, William, Ahuja, Neera, Langlotz, Curtis P., Hom, Jason, Gatidis, Sergios, Pauly, John, Chaudhari, Akshay S.
Publikováno v:
Nature Medicine, 2024
Analyzing vast textual data and summarizing key information from electronic health records imposes a substantial burden on how clinicians allocate their time. Although large language models (LLMs) have shown promise in natural language processing (NL
Externí odkaz:
http://arxiv.org/abs/2309.07430