Zobrazeno 1 - 10
of 414
pro vyhledávání: '"Rodriguez Alexander"'
Autor:
Li, Ruipu, Rodríguez, Alexander
We introduce a neural network conformal prediction method for time series that enhances adaptivity in non-stationary environments. Our approach acts as a neural controller designed to achieve desired target coverage, leveraging auxiliary multi-view d
Externí odkaz:
http://arxiv.org/abs/2412.18144
Multi-variate time series forecasting is an important problem with a wide range of applications. Recent works model the relations between time-series as graphs and have shown that propagating information over the relation graph can improve time serie
Externí odkaz:
http://arxiv.org/abs/2407.02641
We measure the radius-velocity phase-space edge profile for Abell S1063 using galaxy redshifts from arXiv:1409.3507 and arXiv:2109.03305. Combined with a cosmological model and after accounting for interlopers and sampling effects, we infer the escap
Externí odkaz:
http://arxiv.org/abs/2406.01330
Autor:
Kamarthi, Harshavardhan, Kong, Lingkai, Rodríguez, Alexander, Zhang, Chao, Prakash, B. Aditya
Probabilistic hierarchical time-series forecasting is an important variant of time-series forecasting, where the goal is to model and forecast multivariate time-series that have underlying hierarchical relations. Most methods focus on point predictio
Externí odkaz:
http://arxiv.org/abs/2310.11569
Time-series forecasting is a critical challenge in various domains and has witnessed substantial progress in recent years. Many real-life scenarios, such as public health, economics, and social applications, involve feedback loops where predictions c
Externí odkaz:
http://arxiv.org/abs/2310.06077
Autor:
Lin, Shu-Rui, Luo, Wentao, Cai, Yi-Fu, Guo, Qi, Wei, Leyao, Wang, Bo, Li, Qinxun, Su, Can-Po, Rodriguez, Alexander
We report the detection of a 282 $^{+34}_{-31}$ pc-sized core in the center of Milky Way dark matter halo at $68\%$ confidence level by using the micro-lensing event rate sky map data from the Optical Gravitational Lensing Experiment (OGLE) survey. W
Externí odkaz:
http://arxiv.org/abs/2211.00666
Autor:
Chopra, Ayush, Rodríguez, Alexander, Subramanian, Jayakumar, Quera-Bofarull, Arnau, Krishnamurthy, Balaji, Prakash, B. Aditya, Raskar, Ramesh
Mechanistic simulators are an indispensable tool for epidemiology to explore the behavior of complex, dynamic infections under varying conditions and navigate uncertain environments. Agent-based models (ABMs) are an increasingly popular simulation pa
Externí odkaz:
http://arxiv.org/abs/2207.09714
Autor:
Rodríguez, Alexander, Kamarthi, Harshavardhan, Agarwal, Pulak, Ho, Javen, Patel, Mira, Sapre, Suchet, Prakash, B. Aditya
The COVID-19 pandemic has brought forth the importance of epidemic forecasting for decision makers in multiple domains, ranging from public health to the economy as a whole. While forecasting epidemic progression is frequently conceptualized as being
Externí odkaz:
http://arxiv.org/abs/2207.09370
Autor:
Kamarthi, Harshavardhan, Kong, Lingkai, Rodríguez, Alexander, Zhang, Chao, Prakash, B. Aditya
Probabilistic hierarchical time-series forecasting is an important variant of time-series forecasting, where the goal is to model and forecast multivariate time-series that have underlying hierarchical relations. Most methods focus on point predictio
Externí odkaz:
http://arxiv.org/abs/2206.07940
Autor:
Medina, Santiago Ceballos a, b, Mercado, Lorena Marín a, b, Cardona-Rodríguez, Alexander c, Quiñonez Penagos, Mario Fernando a, b, Magén, César d, e, Rodríguez, Luis Alfredo b, f, Ramírez, Juan Gabriel c, ⁎
Publikováno v:
In Physics Open February 2025 22
