Zobrazeno 1 - 10
of 92 463
pro vyhledávání: '"DYER, A."'
Statically typed languages offer numerous benefits to developers, such as improved code quality and reduced runtime errors, but they also require the overhead of manual type annotations. To mitigate this burden, language designers have started incorp
Externí odkaz:
http://arxiv.org/abs/2410.23360
Deduction is a recently introduced graph searching process in which searchers clear the vertex set of a graph with one move each, with each searcher's movement determined by which of its neighbors are protected by other searchers. In this paper, we s
Externí odkaz:
http://arxiv.org/abs/2410.22962
Autor:
Dyer, Richard, Moore, Christopher J.
Quasinormal modes (QNMs) are usually characterized by their time dependence; oscillations at specific frequencies predicted by black hole (BH) perturbation theory. QNMs are routinely identified in the ringdown of numerical relativity waveforms, are w
Externí odkaz:
http://arxiv.org/abs/2410.13935
Autor:
Liu, Ran, Ma, Wenrui, Zippi, Ellen, Pouransari, Hadi, Xiao, Jingyun, Sandino, Chris, Mahasseni, Behrooz, Minxha, Juri, Azemi, Erdrin, Dyer, Eva L., Moin, Ali
Time series data are inherently functions of time, yet current transformers often learn time series by modeling them as mere concatenations of time periods, overlooking their functional properties. In this work, we propose a novel objective for trans
Externí odkaz:
http://arxiv.org/abs/2410.08421
Autor:
Wiese, Samuel, Kaszowska-Mojsa, Jagoda, Dyer, Joel, Moran, Jose, Pangallo, Marco, Lafond, Francois, Muellbauer, John, Calinescu, Anisoara, Farmer, J. Doyne
In the last few years, economic agent-based models have made the transition from qualitative models calibrated to match stylised facts to quantitative models for time series forecasting, and in some cases, their predictions have performed as well or
Externí odkaz:
http://arxiv.org/abs/2409.18760
Autor:
Warwick, B., Lyman, J., Pursiainen, M., Coppejans, D. L., Galbany, L., Jones, G. T., Killestein, T. L., Kumar, A., Oates, S. R., Ackley, K., Anderson, J. P., Aryan, A., Breton, R. P., Chen, T. W., Clark, P., Dhillon, V. S., Dyer, M. J., Gal-Yam, A., Galloway, D. K., Gutiérrez, C. P., Gromadzki, M., Inserra, C., Jiménez-Ibarra, F., Kelsey, L., Kotak, R., Kravtsov, T., Kuncarayakti, H., Magee, M. R., Matilainen, K., Mattila, S., Müller-Bravo, T. E., Nicholl, M., Noysena, K., Nuttall, L. K., O'Brien, P., O'Neill, D., Pallé, E., Pessi, T., Petrushevska, T., Pignata, G., Pollacco, D., Ragosta, F., Ramsay, G., Sahu, A., Sahu, D. K., Singh, A., Sollerman, J., Stanway, E., Starling, R., Steeghs, D., Teja, R. S., Ulaczyk, K.
SN 2023tsz is a Type Ibn supernova (SNe Ibn) discovered in an extremely low-mass host. SNe Ibn are an uncommon subtype of stripped-envelope core-collapse SNe. They are characterised by narrow helium emission lines in their spectra and are believed to
Externí odkaz:
http://arxiv.org/abs/2409.14147
We introduce the game of Cat Herding, where an omnipresent herder slowly cuts down a graph until an evasive cat player has nowhere to go. The number of cuts made is the score of a game, and we study the score under optimal play. In this paper, we beg
Externí odkaz:
http://arxiv.org/abs/2409.13685
Autor:
Vodrahalli, Kiran, Ontanon, Santiago, Tripuraneni, Nilesh, Xu, Kelvin, Jain, Sanil, Shivanna, Rakesh, Hui, Jeffrey, Dikkala, Nishanth, Kazemi, Mehran, Fatemi, Bahare, Anil, Rohan, Dyer, Ethan, Shakeri, Siamak, Vij, Roopali, Mehta, Harsh, Ramasesh, Vinay, Le, Quoc, Chi, Ed, Lu, Yifeng, Firat, Orhan, Lazaridou, Angeliki, Lespiau, Jean-Baptiste, Attaluri, Nithya, Olszewska, Kate
We introduce Michelangelo: a minimal, synthetic, and unleaked long-context reasoning evaluation for large language models which is also easy to automatically score. This evaluation is derived via a novel, unifying framework for evaluations over arbit
Externí odkaz:
http://arxiv.org/abs/2409.12640
We investigate a cheating robot version of Cops and Robber, first introduced by Huggan and Nowakowski, where both the cops and the robber move simultaneously, but the robber is allowed to react to the cops' moves. For conciseness, we refer to this ga
Externí odkaz:
http://arxiv.org/abs/2409.11581
Regional flow duration curves (FDCs) often reflect streamflow influenced by human activities. We propose a new machine learning algorithm to predict naturalized FDCs at human influenced sites and multiple catchment scales. Separate Meta models are de
Externí odkaz:
http://arxiv.org/abs/2409.15339