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Abdalla, Adam, Abe, Mahiro, Abend, Sven, Abidi, Mouine, Aidelsburger, Monika, Alibabaei, Ashkan, Allard, Baptiste, Antoniadis, John, Arduini, Gianluigi, Augst, Nadja, Balamatsias, Philippos, Balaz, Antun, Banks, Hannah, Barcklay, Rachel L., Barone, Michele, Barsanti, Michele, Bason, Mark G., Bassi, Angelo, Bayle, Jean-Baptiste, Baynham, Charles F. A., Beaufils, Quentin, Beldjoudi, Slyan, Belic, Aleksandar, Bennetts, Shayne, Bernabeu, Jose, Bertoldi, Andrea, Bigard, Clara, Bigelow, N. P., Bingham, Robert, Blas, Diego, Bobrick, Alexey, Boehringer, Samuel, Bogojevic, Aleksandar, Bongs, Kai, Bortoletto, Daniela, Bouyer, Philippe, Brand, Christian, Buchmueller, Oliver, Buica, Gabriela, Calatroni, Sergio, Calmels, Lo, Canizares, Priscilla, Canuel, Benjamin, Caramete, Ana, Caramete, Laurentiu-Ioan, Carlesso, Matteo, Carlton, John, Carman, Samuel P., Carroll, Andrew, Casariego, Mateo, Chairetis, Minoas, Charmandaris, Vassilis, Chauhan, Upasna, Chen, Jiajun, Luisa, Maria, Chiofalo, Ciampini, Donatella, Cimbri, Alessia, Clad, Pierre, Coleman, Jonathon, Constantin, Florin Lucian, Contaldi, Carlo R., Corgier, Robin, Dash, Bineet, Davies, G. J., de Rham, Claudia, De Roeck, Albert, Derr, Daniel, Dey, Soumyodeep, Di Pumpo, Fabio, Djordjevic, Goran S., Doebrich, Babette, Dornan, Peter, Doser, Michael, Drougakis, Giannis, Dunningham, Jacob, Duspayev, Alisher, Easo, Sajan, Eby, Joshua, Efremov, Maxim, Elertas, Gedminas, Ellis, John, Entin, Nicholas, Fairhurst, Stephen, Fani, Mattia, Fassi, Farida, Fayet, Pierre, Felea, Daniel, Feng, Jie, Flack, Robert, Foot, Chris, Freegarde, Tim, Fuchs, Elina, Gaaloul, Naceur, Gao, Dongfeng, Gardner, Susan, Garraway, Barry M., Alzar, Carlos L. Garrido, Gauguet, Alexandre, Giese, Enno, Gill, Patrick, Giudice, Gian F., Glasbrenner, Eric P., Glick, Jonah, Graham, Peter W., Granados, Eduardo, Griffin, Paul F., Gue, Jordan, Guellati-Khelifa, Saida, Gupta, Subhadeep, Gupta, Vishu, Hackermueller, Lucia, Haehnelt, Martin, Hakulinen, Timo, Hammerer, Klemens, Hanimeli, Ekim T., Harte, Tiffany, Hartmann, Sabrina, Hawkins, Leonie, Hees, Aurelien, Herbst, Alexander, Hird, Thomas M., Hobson, Richard, Hogan, Jason, Holst, Bodil, Holynski, Michael, Hosten, Onur, Hsu, Chung Chuan, Huang, Wayne Cheng-Wei, Hughes, Kenneth M., Hussain, Kamran, Huetsi, Gert, Iovino, Antonio, Isfan, Maria-Catalina, Janson, Gregor, Jeglic, Peter, Jetzer, Philippe, Jiang, Yijun, Juzeliunas, Gediminas, Kaenders, Wilhelm, Kalliokoski, Matti, Kehagias, Alex, Kilian, Eva, Klempt, Carsten, Knight, Peter, Koley, Soumen, Konrad, Bernd, Kovachy, Tim, Krutzik, Markus, Kumar, Mukesh, Kumar, Pradeep, Labiad, Hamza, Lan, Shau-Yu, Landragin, Arnaud, Landsberg, Greg, Langlois, Mehdi, Lanigan, Bryony, Poncin-Lafitte, Christophe Le, Lellouch, Samuel, Leone, Bruno, Lewicki, Marek, Lien, Yu-Hung, Lombriser, Lucas, Asamar, Elias Lopez, Lopez-Gonzalez, J. Luis, Lowe, Adam, Lu, Chen, Luciano, Giuseppe Gaetano, Lundblad, Nathan, Monjaraz, Cristian de J. Lpez, Mackoit-Sinkeviien, Maena, Maggiore, Michele, Majumdar, Anirban, Makris, Konstantinos, Maleknejad, Azadeh, Marchant, Anna L., Mariotti, Agnese, Markou, Christos, Matthews, Barnaby, Mazumdar, Anupam, McCabe, Christopher, Meister, Matthias, Mentasti, Giorgio, Menu, Jonathan, Messineo, Giuseppe, Meyer-Hoppe, Bernd, Micalizio, Salvatore, Migliaccio, Federica, Millington, Peter, Milosevic, Milan, Mishra, Abhay, Mitchell, Jeremiah, Morley, Gavin W., Mouelle, Noam, Mueller, Juergen, Newbold, David, Ni, Wei-Tou, Niehof, Christian, Noller, Johannes, Odzak, Senad, Oi, Daniel K. L., Oikonomou, Andreas, Omar, Yasser, Overstreet, Chris, Pahl, Julia, Paling, Sean, Pan, Zhongyin, Pappas, George, Pareek, Vinay, Pasatembou, Elizabeth, Paternostro, Mauro, Pathak, Vishal K., Pelucchi, Emanuele, Santos, Franck Pereira dos, Peters, Achim, Pichery, Annie, Pikovski, Igor, Pilaftsis, Apostolos, Pislan, Florentina-Crenguta, Plunkett, Robert, Poggiani, Rosa, Prevedelli, Marco, Veettil, Vishnupriya Puthiya, Rafelski, Johann, Raidal, Juhan, Raidal, Martti, Rasel, Ernst Maria, Renaux-Petel, Sebastien, Richaud, Andrea, Rivero-Antunez, Pedro, Rodzinka, Tangui, Roura, Albert, Rudolph, Jan, Sabulsky, Dylan, Safronova, Marianna S., Sakellariadou, Mairi, Salvi, Leonardo, Sameed, Muhammed, Sarkar, Sumit, Schach, Patrik, Schaeffer, Stefan Alaric, Schelfhout, Jesse, Schilling, Manuel, Schkolnik, Vladimir, Schleich, Wolfgang P., Schlippert, Dennis, Schneider, Ulrich, Schreck, Florian, Schwartzman, Ariel, Schwersenz, Nico, Sergijenko, Olga, Sfar, Haifa Rejeb, Shao, Lijing, Shipsey, Ian, Shu, Jing, Singh, Yeshpal, Sopuerta, Carlos F., Sorba, Marianna, Sorrentino, Fiodor, Spallicci, Alessandro D. A. M, Stefanescu, Petruta, Stergioulas, Nikolaos, Stoerk, Daniel, Stroehle, Jannik, Sunilkumar, Hrudya Thaivalappil, Tam, Zoie, Tandon, Dhruv, Tang, Yijun, Tell, Dorothee, Tempere, Jacques, Temples, Dylan J., Thampy, Rohit P, Tietje, Ingmari C., Tino, Guglielmo M., Tinsley, Jonathan N., Mircea, Ovidiu Tintareanu, Tkalec, Kimberly, Tolley, Andrew J., Tornatore, Vincenza, Torres-Orjuela, Alejandro, Treutlein, Philipp, Trombettoni, Andrea, Ufrecht, Christian, Urrutia, Juan, Valenzuela, Tristan, Valerio, Linda R., van der Grinten, Maurits, Vaskonen, Ville, Vazquez-Aceves, Veronica, Veermae, Hardi, Vetrano, Flavio, Vitanov, Nikolay V., von Klitzing, Wolf, Wald, Sebastian, Walker, Thomas, Walser, Reinhold, Wang, Jin, Wang, Yan, Weidner, C. A., Wenzlawski, Andr, Werner, Michael, Woerner, Lisa, Yahia, Mohamed E., Yazgan, Efe, Cruzeiro, Emmanuel Zambrini, Zarei, M., Zhan, Mingsheng, Zhang, Shengnan, Zhou, Lin, Zupanic, Erik
This summary of the second Terrestrial Very-Long-Baseline Atom Interferometry (TVLBAI) Workshop provides a comprehensive overview of our meeting held in London in April 2024, building on the initial discussions during the inaugural workshop held at C
Externí odkaz:
http://arxiv.org/abs/2412.14960
This work concerns the zeroth-order global minimization of continuous nonconvex functions with a unique global minimizer and possibly multiple local minimizers. We formulate a theoretical framework for inexact proximal point (IPP) methods for global
Externí odkaz:
http://arxiv.org/abs/2412.11485
Autor:
Hung, Nguyen N., Fry, A. A. Schaeffer
We propose and present evidence for a conjectural global-local phenomenon concerning the $p$-rationality of $p$-height-zero characters. Specifically, if $\chi$ is a height-zero character of a finite group $G$ and $D$ is a defect group of the $p$-bloc
Externí odkaz:
http://arxiv.org/abs/2412.05703
Autor:
Hughes, John, Price, Sara, Lynch, Aengus, Schaeffer, Rylan, Barez, Fazl, Koyejo, Sanmi, Sleight, Henry, Jones, Erik, Perez, Ethan, Sharma, Mrinank
We introduce Best-of-N (BoN) Jailbreaking, a simple black-box algorithm that jailbreaks frontier AI systems across modalities. BoN Jailbreaking works by repeatedly sampling variations of a prompt with a combination of augmentations - such as random s
Externí odkaz:
http://arxiv.org/abs/2412.03556
Autor:
Wang, Tony T., Hughes, John, Sleight, Henry, Schaeffer, Rylan, Agrawal, Rajashree, Barez, Fazl, Sharma, Mrinank, Mu, Jesse, Shavit, Nir, Perez, Ethan
Defending large language models against jailbreaks so that they never engage in a broadly-defined set of forbidden behaviors is an open problem. In this paper, we investigate the difficulty of jailbreak-defense when we only want to forbid a narrowly-
Externí odkaz:
http://arxiv.org/abs/2412.02159
In-Context Operator Networks (ICONs) are models that learn operators across different types of PDEs using a few-shot, in-context approach. Although they show successful generalization to various PDEs, existing methods treat each data point as a singl
Externí odkaz:
http://arxiv.org/abs/2411.16063
Linear regression is often deemed inherently interpretable; however, challenges arise for high-dimensional data. We focus on further understanding how linear regression approximates nonlinear responses from high-dimensional functional data, motivated
Externí odkaz:
http://arxiv.org/abs/2411.12060
Retrograde analysis is used in game-playing programs to solve states at the end of a game, working backwards toward the start of the game. The algorithm iterates through and computes the perfect-play value for as many states as resources allow. We in
Externí odkaz:
http://arxiv.org/abs/2411.09089
We propose a novel fine-tuning method to achieve multi-operator learning through training a distributed neural operator with diverse function data and then zero-shot fine-tuning the neural network using physics-informed losses for downstream tasks. O
Externí odkaz:
http://arxiv.org/abs/2411.07239
Autor:
Nateghi, Ramin, Zhou, Ruoji, Saft, Madeline, Schnauss, Marina, Neill, Clayton, Alam, Ridwan, Handa, Nicole, Huang, Mitchell, Li, Eric V, Goldstein, Jeffery A, Schaeffer, Edward M, Nadim, Menatalla, Pourakpour, Fattaneh, Isaila, Bogdan, Felicelli, Christopher, Mehta, Vikas, Nezami, Behtash G, Ross, Ashley, Yang, Ximing, Cooper, Lee AD
Artificial intelligence may assist healthcare systems in meeting increasing demand for pathology services while maintaining diagnostic quality and reducing turnaround time and costs. We aimed to investigate the performance of an institutionally devel
Externí odkaz:
http://arxiv.org/abs/2410.23642