Zobrazeno 1 - 10
of 329 639
pro vyhledávání: '"Hanna, A"'
Ensuring long-term fairness is crucial when developing automated decision making systems, specifically in dynamic and sequential environments. By maximizing their reward without consideration of fairness, AI agents can introduce disparities in their
Externí odkaz:
http://arxiv.org/abs/2412.17123
In deep learning, the mean of a chosen error metric, such as squared or absolute error, is commonly used as a loss function. While effective in reducing the average error, this approach often fails to address localized outliers, leading to significan
Externí odkaz:
http://arxiv.org/abs/2412.13993
Autor:
Hanna, Chad, Kennington, James, Niu, Wanting, Sakon, Shio, Singh, Divya, Adhicary, Shomik, Baral, Pratyusava, Baylor, Amanda, Cannon, Kipp, Caudill, Sarah, Cousins, Bryce, Creighton, Jolien D. E., Ewing, Becca, Fong, Heather, George, Richard N., Godwin, Patrick, Harada, Reiko, Huang, Yun-Jing, Huxford, Rachael, Joshi, Prathamesh, Kuwahara, Soichiro, Li, Alvin K. Y., Magee, Ryan, Meacher, Duncan, Messick, Cody, Morisaki, Soichiro, Mukherjee, Debnandini, Pace, Alexander, Posnansky, Cort, Ray, Anarya, Sachdev, Surabhi, Schmidt, Stefano, Shah, Urja, Tapia, Ron, Tsukada, Leo, Ueno, Koh, Viets, Aaron, Wade, Leslie, Wade, Madeline, Yarbrough, Zach, Zhang, Noah
Matched-filtering searches for gravitational-wave signals from compact binary mergers employ template banks which are a collection of modeled waveforms described by unique intrinsic parameters. We present two banks designed for low-latency and archiv
Externí odkaz:
http://arxiv.org/abs/2412.10951
Nano-drones, with their small, lightweight design, are ideal for confined-space rescue missions and inherently safe for human interaction. However, their limited payload restricts the critical sensing needed for ego-velocity estimation and obstacle d
Externí odkaz:
http://arxiv.org/abs/2412.10048
Autor:
Labiosa, Adam, Wang, Zhihan, Agarwal, Siddhant, Cong, William, Hemkumar, Geethika, Harish, Abhinav Narayan, Hong, Benjamin, Kelle, Josh, Li, Chen, Li, Yuhao, Shao, Zisen, Stone, Peter, Hanna, Josiah P.
Robot decision-making in partially observable, real-time, dynamic, and multi-agent environments remains a difficult and unsolved challenge. Model-free reinforcement learning (RL) is a promising approach to learning decision-making in such domains, ho
Externí odkaz:
http://arxiv.org/abs/2412.09417
Autor:
Yao, Weipeng, Lelièvre, Ronan, Cohen, Itamar, Waltenspiel, Tessa, Allaoua, Amokrane, Antici, Patrizio, Ayoul, Yohan, Beck, Arie, Beluze, Audrey, Blancard, Christophe, Cavanna, Daniel, Chabanis, Mélanie, Chen, Sophia N., Cohen, Erez, Ducasse, Quentin, Dumergue, Mathieu, Hai, Fouad El, Evrard, Christophe, Filippov, Evgeny, Freneaux, Antoine, Gautier, Donald Cort, Gobert, Fabrice, Goupille, Franck, Grech, Michael, Gremillet, Laurent, Heller, Yoav, d'Humières, Emmanuel, Lahmar, Hanna, Lancia, Livia, Lebas, Nathalie, Lecherbourg, Ludovic, Marchand, Stéphane, Mataja, Damien, Meyniel, Gabriel, Michaeli, David, Papadopoulos, Dimitris, Perez, Frédéric, Pikuz, Sergy, Pomerantz, Ishay, Renaudin, Patrick, Romagnani, Lorenzo, Trompier, François, Veuillot, Edouard, Vinchon, Thibaut, Mathieu, François, Fuchs, Julien
We present the results of the second commissioning phase of the short-focal-length area of the Apollon laser facility (located in Saclay, France), which was performed with the main laser beam (F1), scaled to a peak power of 2 PetaWatt. Under the cond
Externí odkaz:
http://arxiv.org/abs/2412.09267
Autor:
Cooper, A. Feder, Choquette-Choo, Christopher A., Bogen, Miranda, Jagielski, Matthew, Filippova, Katja, Liu, Ken Ziyu, Chouldechova, Alexandra, Hayes, Jamie, Huang, Yangsibo, Mireshghallah, Niloofar, Shumailov, Ilia, Triantafillou, Eleni, Kairouz, Peter, Mitchell, Nicole, Liang, Percy, Ho, Daniel E., Choi, Yejin, Koyejo, Sanmi, Delgado, Fernando, Grimmelmann, James, Shmatikov, Vitaly, De Sa, Christopher, Barocas, Solon, Cyphert, Amy, Lemley, Mark, boyd, danah, Vaughan, Jennifer Wortman, Brundage, Miles, Bau, David, Neel, Seth, Jacobs, Abigail Z., Terzis, Andreas, Wallach, Hanna, Papernot, Nicolas, Lee, Katherine
We articulate fundamental mismatches between technical methods for machine unlearning in Generative AI, and documented aspirations for broader impact that these methods could have for law and policy. These aspirations are both numerous and varied, mo
Externí odkaz:
http://arxiv.org/abs/2412.06966
Autor:
Hanna, Michael, Mueller, Aaron
Autoregressive transformer language models (LMs) possess strong syntactic abilities, often successfully handling phenomena from agreement to NPI licensing. However, the features they use to incrementally process language inputs are not well understoo
Externí odkaz:
http://arxiv.org/abs/2412.05353
Modeling dynamical biological systems is key for understanding, predicting, and controlling complex biological behaviors. Traditional methods for identifying governing equations, such as ordinary differential equations (ODEs), typically require exten
Externí odkaz:
http://arxiv.org/abs/2412.15227
Autor:
Eliseev, Eugene A., Kondakova, Iryna V., Zagorodniy, Yuri O., Shevilakova, Hanna V., Leshchenko, Oksana V., Pavlikov, Victor N., Yurchenko, Lesya P., Karpets, Myroslav V., Morozovska, Anna N.
In this work we established the relationship between the crystalline structure symmetry, point defects and possible appearance of the ferroelectric-like polarization in HfO2-y nanoparticles. Notably, that XRD and EPR analysis revealed the formation o
Externí odkaz:
http://arxiv.org/abs/2412.01632