Zobrazeno 1 - 10
of 9 670
pro vyhledávání: '"Ezra, P."'
Model-based geostatistics (MBG) is a subfield of spatial statistics focused on predicting spatially continuous phenomena using data collected at discrete locations. Geostatistical models often rely on the assumptions of stationarity and isotropy for
Externí odkaz:
http://arxiv.org/abs/2412.09225
Autor:
Stefanescu, Luca, Edwards-Pratt, Louis, O'Connor, Jeremy, Tsegaye, Ezra, Le, Nguyen H., Mintert, Florian
Robust quantum control can achieve noise-resilience of quantum systems and quantum technological devices. While the need for noise-resilience grows with the number of fluctuating quantities, and thus typically with the number of qubits, most numerica
Externí odkaz:
http://arxiv.org/abs/2412.05656
Imitation learning in robotics faces significant challenges in generalization due to the complexity of robotic environments and the high cost of data collection. We introduce RoCoDA, a novel method that unifies the concepts of invariance, equivarianc
Externí odkaz:
http://arxiv.org/abs/2411.16959
Autor:
Merkle, Edgar C., Petrov, Nikolay, Zhu, Sophie Ma, Karger, Ezra, Tetlock, Philip E., Himmelstein, Mark
Assessing forecasting proficiency is a time-intensive activity, often requiring us to wait months or years before we know whether or not the reported forecasts were good. In this study, we develop adaptive cognitive tests that predict forecasting pro
Externí odkaz:
http://arxiv.org/abs/2411.11126
Autor:
Ezra, Tomer, Garbuz, Tamar
We study the classic single-choice prophet secretary problem through a resource augmentation lens. Our goal is to bound the $(1-\epsilon)$-competition complexity for different classes of online algorithms. This metric asks for the smallest $k$ such t
Externí odkaz:
http://arxiv.org/abs/2411.10892
Autor:
Dominé, Laura, Biswas, Ankit, Cloete, Richard, Delacroix, Alex, Fedorenko, Andriy, Jacaruso, Lucas, Kelderman, Ezra, Keto, Eric, Little, Sarah, Loeb, Abraham, Masson, Eric, Prior, Mike, Schultz, Forrest, Szenher, Matthew, Watters, Wes, White, Abby
To date there is little publicly available scientific data on Unidentified Aerial Phenomena (UAP) whose properties and kinematics purportedly reside outside the performance envelope of known phenomena. To address this deficiency, the Galileo Project
Externí odkaz:
http://arxiv.org/abs/2411.07956
Autor:
Mittmann, Gesa, Laiouar-Pedari, Sara, Mehrtens, Hendrik A., Haggenmüller, Sarah, Bucher, Tabea-Clara, Chanda, Tirtha, Gaisa, Nadine T., Wagner, Mathias, Klamminger, Gilbert Georg, Rau, Tilman T., Neppl, Christina, Compérat, Eva Maria, Gocht, Andreas, Hämmerle, Monika, Rupp, Niels J., Westhoff, Jula, Krücken, Irene, Seidl, Maximillian, Schürch, Christian M., Bauer, Marcus, Solass, Wiebke, Tam, Yu Chun, Weber, Florian, Grobholz, Rainer, Augustyniak, Jaroslaw, Kalinski, Thomas, Hörner, Christian, Mertz, Kirsten D., Döring, Constanze, Erbersdobler, Andreas, Deubler, Gabriele, Bremmer, Felix, Sommer, Ulrich, Brodhun, Michael, Griffin, Jon, Lenon, Maria Sarah L., Trpkov, Kiril, Cheng, Liang, Chen, Fei, Levi, Angelique, Cai, Guoping, Nguyen, Tri Q., Amin, Ali, Cimadamore, Alessia, Shabaik, Ahmed, Manucha, Varsha, Ahmad, Nazeel, Messias, Nidia, Sanguedolce, Francesca, Taheri, Diana, Baraban, Ezra, Jia, Liwei, Shah, Rajal B., Siadat, Farshid, Swarbrick, Nicole, Park, Kyung, Hassan, Oudai, Sakhaie, Siamak, Downes, Michelle R., Miyamoto, Hiroshi, Williamson, Sean R., Holland-Letz, Tim, Schneider, Carolin V., Kather, Jakob Nikolas, Tolkach, Yuri, Brinker, Titus J.
The aggressiveness of prostate cancer, the most common cancer in men worldwide, is primarily assessed based on histopathological data using the Gleason scoring system. While artificial intelligence (AI) has shown promise in accurately predicting Glea
Externí odkaz:
http://arxiv.org/abs/2410.15012
Autor:
Shankar, Manjari, Hartner, Anna-Maria, Arnold, Callum R. K., Gayawan, Ezra, Kang, Hyolim, Kim, Jong-Hoon, Gilani, Gemma Nedjati, Cori, Anne, Fu, Han, Jit, Mark, Muloiwa, Rudzani, Portnoy, Allison, Trotter, Caroline, Gaythorpe, Katy A. M.
Mathematical models are established tools to assist in outbreak response. They help characterise complex patterns in disease spread, simulate control options to assist public health authorities in decision-making, and longer-term operational and fina
Externí odkaz:
http://arxiv.org/abs/2410.13923
Autor:
Agnew, William, Barnett, Julia, Chu, Annie, Hong, Rachel, Feffer, Michael, Netzorg, Robin, Jiang, Harry H., Awumey, Ezra, Das, Sauvik
Generative audio models are rapidly advancing in both capabilities and public utilization -- several powerful generative audio models have readily available open weights, and some tech companies have released high quality generative audio products. Y
Externí odkaz:
http://arxiv.org/abs/2410.13114
Autor:
Karger, Ezra, Bastani, Houtan, Yueh-Han, Chen, Jacobs, Zachary, Halawi, Danny, Zhang, Fred, Tetlock, Philip E.
Forecasts of future events are essential inputs into informed decision-making. Machine learning (ML) systems have the potential to deliver forecasts at scale, but there is no framework for evaluating the accuracy of ML systems on a standardized set o
Externí odkaz:
http://arxiv.org/abs/2409.19839