Zobrazeno 1 - 10
of 5 012
pro vyhledávání: '"P Dann"'
Autor:
Sharma, Navodita, Vinod, Vishnu, Thakurta, Abhradeep, Agarwal, Alekh, Balle, Borja, Dann, Christoph, Raghuveer, Aravindan
The offline reinforcement learning (RL) problem aims to learn an optimal policy from historical data collected by one or more behavioural policies (experts) by interacting with an environment. However, the individual experts may be privacy-sensitive
Externí odkaz:
http://arxiv.org/abs/2411.13598
Autor:
Dann, Roie
Understanding the combined influence of external driving and dissipation is crucial for studying nonequilibrium quantum phenomena and advancing technological applications. The present study addresses this issue by investigating open-system behavior i
Externí odkaz:
http://arxiv.org/abs/2410.03297
This article builds upon the protocol for digital transfers described by Goodell, Toliver, and Nakib, which combines privacy by design for consumers with strong compliance enforcement for recipients of payments and self-validating assets that carry t
Externí odkaz:
http://arxiv.org/abs/2409.01958
Autor:
Wang, Kaiwen, Kidambi, Rahul, Sullivan, Ryan, Agarwal, Alekh, Dann, Christoph, Michi, Andrea, Gelmi, Marco, Li, Yunxuan, Gupta, Raghav, Dubey, Avinava, Ramé, Alexandre, Ferret, Johan, Cideron, Geoffrey, Hou, Le, Yu, Hongkun, Ahmed, Amr, Mehta, Aranyak, Hussenot, Léonard, Bachem, Olivier, Leurent, Edouard
Reward-based finetuning is crucial for aligning language policies with intended behaviors (e.g., creativity and safety). A key challenge is to develop steerable language models that trade-off multiple (conflicting) objectives in a flexible and effici
Externí odkaz:
http://arxiv.org/abs/2407.15762
Autor:
Los, E. E., Gerstmayr, E., Arran, C., Streeter, M. J. V., Colgan, C., Cobo, C. C., Kettle, B., Blackburn, T. G., Bourgeois, N., Calvin, L., Carderelli, J., Cavanagh, N., Di Piazza, S. J. D. Dann A., Fitzgarrald, R., Ilderton, A., Keitel, C. H., Marklund, M., McKenna, P., Murphy, C. D., Najmudin, Z., Parsons, P., Rajeev, P. P., Symes, D. R., Tamburini, M., Thomas, A. G. R., Wood, J. C., Zepf, M., Sarri, G., Ridgers, C. P., Mangles, S. P. D
Radiation reaction describes the effective force experienced by an accelerated charge due to radiation emission. Quantum effects dominate charge dynamics and radiation production[1][2] for charges accelerated by fields with strengths approaching the
Externí odkaz:
http://arxiv.org/abs/2407.12071
Autor:
Gong, Ting, Maffei, Chiara, Dann, Evan, Lee, Hong-Hsi, Lee, Hansol, Augustinack, Jean C., Huang, Susie Y., Haber, Suzanne N., Yendiki, Anastasia
Axon diameter and myelin thickness are closely related microstructural tissue properties that affect the conduction velocity of action potentials in the nervous system. Imaging them non-invasively with MRI-based methods is thus valuable for studying
Externí odkaz:
http://arxiv.org/abs/2407.02227
The field of Detection and Attribution is rapidly moving beyond weather and climate, and towards incorporating hazards and their impacts on natural and human systems. Here, we review the comprehensive literature base relevant for the UK ahead of the
Externí odkaz:
http://arxiv.org/abs/2406.12951
Abernethy et al. (2011) showed that Blackwell approachability and no-regret learning are equivalent, in the sense that any algorithm that solves a specific Blackwell approachability instance can be converted to a sublinear regret algorithm for a spec
Externí odkaz:
http://arxiv.org/abs/2406.07585
Autor:
LaBella, Dominic, Baid, Ujjwal, Khanna, Omaditya, McBurney-Lin, Shan, McLean, Ryan, Nedelec, Pierre, Rashid, Arif, Tahon, Nourel Hoda, Altes, Talissa, Bhalerao, Radhika, Dhemesh, Yaseen, Godfrey, Devon, Hilal, Fathi, Floyd, Scott, Janas, Anastasia, Kazerooni, Anahita Fathi, Kirkpatrick, John, Kent, Collin, Kofler, Florian, Leu, Kevin, Maleki, Nazanin, Menze, Bjoern, Pajot, Maxence, Reitman, Zachary J., Rudie, Jeffrey D., Saluja, Rachit, Velichko, Yury, Wang, Chunhao, Warman, Pranav, Adewole, Maruf, Albrecht, Jake, Anazodo, Udunna, Anwar, Syed Muhammad, Bergquist, Timothy, Chen, Sully Francis, Chung, Verena, Conte, Gian-Marco, Dako, Farouk, Eddy, James, Ezhov, Ivan, Khalili, Nastaran, Iglesias, Juan Eugenio, Jiang, Zhifan, Johanson, Elaine, Van Leemput, Koen, Li, Hongwei Bran, Linguraru, Marius George, Liu, Xinyang, Mahtabfar, Aria, Meier, Zeke, Moawad, Ahmed W., Mongan, John, Piraud, Marie, Shinohara, Russell Takeshi, Wiggins, Walter F., Abayazeed, Aly H., Akinola, Rachel, Jakab, András, Bilello, Michel, de Verdier, Maria Correia, Crivellaro, Priscila, Davatzikos, Christos, Farahani, Keyvan, Freymann, John, Hess, Christopher, Huang, Raymond, Lohmann, Philipp, Moassefi, Mana, Pease, Matthew W., Vollmuth, Phillipp, Sollmann, Nico, Diffley, David, Nandolia, Khanak K., Warren, Daniel I., Hussain, Ali, Fehringer, Pascal, Bronstein, Yulia, Deptula, Lisa, Stein, Evan G., Taherzadeh, Mahsa, de Oliveira, Eduardo Portela, Haughey, Aoife, Kontzialis, Marinos, Saba, Luca, Turner, Benjamin, Brüßeler, Melanie M. T., Ansari, Shehbaz, Gkampenis, Athanasios, Weiss, David Maximilian, Mansour, Aya, Shawali, Islam H., Yordanov, Nikolay, Stein, Joel M., Hourani, Roula, Moshebah, Mohammed Yahya, Abouelatta, Ahmed Magdy, Rizvi, Tanvir, Willms, Klara, Martin, Dann C., Okar, Abdullah, D'Anna, Gennaro, Taha, Ahmed, Sharifi, Yasaman, Faghani, Shahriar, Kite, Dominic, Pinho, Marco, Haider, Muhammad Ammar, Aristizabal, Alejandro, Karargyris, Alexandros, Kassem, Hasan, Pati, Sarthak, Sheller, Micah, Alonso-Basanta, Michelle, Villanueva-Meyer, Javier, Rauschecker, Andreas M., Nada, Ayman, Aboian, Mariam, Flanders, Adam E., Wiestler, Benedikt, Bakas, Spyridon, Calabrese, Evan
We describe the design and results from the BraTS 2023 Intracranial Meningioma Segmentation Challenge. The BraTS Meningioma Challenge differed from prior BraTS Glioma challenges in that it focused on meningiomas, which are typically benign extra-axia
Externí odkaz:
http://arxiv.org/abs/2405.09787
Efficiently finding subgraph embeddings in large graphs is crucial for many application areas like biology and social network analysis. Set intersections are the predominant and most challenging aspect of current join-based subgraph query processing
Externí odkaz:
http://arxiv.org/abs/2402.17559