Zobrazeno 1 - 10
of 14 169
pro vyhledávání: '"P Tandon"'
Autor:
Rameshwar, V. Arvind, Tandon, Anshoo
In this article, we revisit the well-studied problem of mean estimation under user-level $\varepsilon$-differential privacy (DP). While user-level $\varepsilon$-DP mechanisms for mean estimation, which typically bound (or clip) user contributions to
Externí odkaz:
http://arxiv.org/abs/2502.04749
Speculative Decoding (SD) is a recently proposed technique for faster inference using Large Language Models (LLMs). SD operates by using a smaller draft LLM for autoregressively generating a sequence of tokens and a larger target LLM for parallel ver
Externí odkaz:
http://arxiv.org/abs/2502.04557
Autor:
Tandon, Abhishek, Sharma, Geetanjali, Jaswal, Gaurav, Nigam, Aditya, Ramachandra, Raghavendra
We propose a trait-specific image generation method that models forehead creases geometrically using B-spline and B\'ezier curves. This approach ensures the realistic generation of both principal creases and non-prominent crease patterns, effectively
Externí odkaz:
http://arxiv.org/abs/2501.13889
Autor:
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
Autor:
Chakraborty, Novoneel, Tandon, Anshoo, Reddy, Kailash, Kirpekar, Kaushal, Robert, Bryan Paul, Kumar, Hari Dilip, Venkatesh, Abhilash, Sharma, Abhay
Data de-identification makes it possible to glean insights from data while preserving user privacy. The use of Trusted Execution Environments (TEEs) allow for the execution of de-identification applications on the cloud without the need for a user to
Externí odkaz:
http://arxiv.org/abs/2412.09222
Autor:
Tian, Fengwei, Tandon, Ravi
Ensuring privacy during inference stage is crucial to prevent malicious third parties from reconstructing users' private inputs from outputs of public models. Despite a large body of literature on privacy preserving learning (which ensures privacy of
Externí odkaz:
http://arxiv.org/abs/2411.18746
Autor:
Zhong, Meiyu, Tandon, Ravi
Adversarial training is one of the predominant techniques for training classifiers that are robust to adversarial attacks. Recent work, however has found that adversarial training, which makes the overall classifier robust, it does not necessarily pr
Externí odkaz:
http://arxiv.org/abs/2411.14424
We propose a new approach for fine-grained uncertainty quantification (UQ) using a collision matrix. For a classification problem involving $K$ classes, the $K\times K$ collision matrix $S$ measures the inherent (aleatoric) difficulty in distinguishi
Externí odkaz:
http://arxiv.org/abs/2411.12127
The widespread adoption of language models (LMs) across multiple industries has caused huge surge in demand for GPUs. Training LMs requires tens of thousands of GPUs and housing them in the same datacenter (DCs) is becoming challenging. We focus on t
Externí odkaz:
http://arxiv.org/abs/2411.14458
Autor:
Sharma, Geetanjali, Tandon, Abhishek, Jaswal, Gaurav, Nigam, Aditya, Ramachandra, Raghavendra
Iris recognition technology plays a critical role in biometric identification systems, but their performance can be affected by variations in iris pigmentation. In this work, we investigate the impact of iris pigmentation on the efficacy of biometric
Externí odkaz:
http://arxiv.org/abs/2411.08490