Zobrazeno 1 - 10
of 330 687
pro vyhledávání: '"From, Ellis"'
Autor:
Barro, Guillermo, Perez-Gonzalez, Pablo G., Kocevski, Dale D., McGrath, Elizabeth J., Leung, Gene C. K., Cullen, Fergus, Dunlop, James S., Ellis, Richard S., Finkelstein, Steven L., Grogin, Norman A., Illingworth, Garth, Kartaltepe, Jeyhan S., Koekemoer, Anton M., Lucas, Ray A., McLure, Ross J., Yang, Guang
JWST has revealed a population of compact `Little Red Dots' (LRDs) at $z\gtrsim4$, with red rest-frame optical and blue UV colors. These objects are likely compact dusty starbursts or heavily reddened AGNs, playing a pivotal role in early black hole
Externí odkaz:
http://arxiv.org/abs/2412.01887
Autor:
Leung, Gene C. K., Finkelstein, Steven L., Pérez-González, Pablo G., Morales, Alexa M., Taylor, Anthony J., Barro, Guillermo, Kocevski, Dale D., Akins, Hollis B., Carnall, Adam C., Ortiz, Óscar A. Chávez, Cleri, Nikko J., Cullen, Fergus, Donnan, Callum T., Dunlop, James S., Ellis, Richard S., Grogin, Norman A., Hirschmann, Michaela, Koekemoer, Anton M., Kokorev, Vasily, Lucas, Ray A., McLeod, Derek J., Papovich, Casey, Yung, L. Y. Aaron
JWST has revealed a large population of compact, red galaxies at $z>4$ known as Little Red Dots (LRDs). We analyze the spectral energy distributions (SEDs) of 95 LRDs from the JWST PRIMER survey with complete photometric coverage from $1-18\ \mu$m us
Externí odkaz:
http://arxiv.org/abs/2411.12005
Identifying predictive features from high-dimensional datasets is a major task in biomedical research. However, it is difficult to determine the robustness of selected features. Here, we investigate the performance of randomly chosen features, what w
Externí odkaz:
http://arxiv.org/abs/2411.10574
How small can a set of vertices in the $n$-dimensional hypercube $Q_n$ be if it meets every copy of $Q_d$? The asymptotic density of such a set (for $d$ fixed and $n$ large) is denoted by $\gamma_d$. It is easy to see that $\gamma_d \leq 1/(d+1)$, an
Externí odkaz:
http://arxiv.org/abs/2411.09445
Autor:
Geiger, Abra, Cordes, James M., Lam, Michael T., Ocker, Stella Koch, Chatterjee, Shami, Arzoumanian, Zaven, Battaglia, Ava L., Blumer, Harsha, Brook, Paul R., Combs, Olivia A., Cromartie, H. Thankful, DeCesar, Megan E., Demorest, Paul B., Dolch, Timothy, Ellis, Justin A., Ferdman, Robert D., Ferrara, Elizabeth C., Fonseca, Emmanuel, Garver-Daniels, Nate, Gentile, Peter A., Good, Deborah C., Jones, Megan L., Lorimer, Duncan R., Luo, Jing, Lynch, Ryan S., McLaughlin, Maura A., Ng, Cherry, Nice, David J., Pennucci, Timothy T., Pol, Nihan S., Ransom, Scott M., Spiewak, Renée, Stairs, Ingrid H., Stovall, Kevin, Swiggum, Joseph K., Vigeland, Sarah J.
Free electrons in the interstellar medium refract and diffract radio waves along multiple paths, resulting in angular and temporal broadening of radio pulses that limits pulsar timing precision. We determine multifrequency, multi-epoch scattering tim
Externí odkaz:
http://arxiv.org/abs/2411.08191
Assistive agents should make humans' lives easier. Classically, such assistance is studied through the lens of inverse reinforcement learning, where an assistive agent (e.g., a chatbot, a robot) infers a human's intention and then selects actions to
Externí odkaz:
http://arxiv.org/abs/2411.02623
Autor:
Li, Wen-Ding, Hu, Keya, Larsen, Carter, Wu, Yuqing, Alford, Simon, Woo, Caleb, Dunn, Spencer M., Tang, Hao, Naim, Michelangelo, Nguyen, Dat, Zheng, Wei-Long, Tavares, Zenna, Pu, Yewen, Ellis, Kevin
When learning an input-output mapping from very few examples, is it better to first infer a latent function that explains the examples, or is it better to directly predict new test outputs, e.g. using a neural network? We study this question on ARC b
Externí odkaz:
http://arxiv.org/abs/2411.02272
Proximal policy optimization (PPO) is a widely-used algorithm for on-policy reinforcement learning. This work offers an alternative perspective of PPO, in which it is decomposed into the inner-loop estimation of update vectors, and the outer-loop app
Externí odkaz:
http://arxiv.org/abs/2411.00666
We present a new semi-analytical model for the evolution of galaxies and supermassive black holes (SMBHs) that is based on the extended Press-Schechter formalism and phenomenological modelling of star formation. The model yields BH mass-stellar mass
Externí odkaz:
http://arxiv.org/abs/2410.24224
Autor:
Liang, Yichao, Kumar, Nishanth, Tang, Hao, Weller, Adrian, Tenenbaum, Joshua B., Silver, Tom, Henriques, João F., Ellis, Kevin
Broadly intelligent agents should form task-specific abstractions that selectively expose the essential elements of a task, while abstracting away the complexity of the raw sensorimotor space. In this work, we present Neuro-Symbolic Predicates, a fir
Externí odkaz:
http://arxiv.org/abs/2410.23156