Zobrazeno 1 - 10
of 307 134
pro vyhledávání: '"An, Phillip"'
In this article, from the viewpoint of control theory, we discuss the relationships among the commonly used monotonicity conditions that ensure the well-posedness of the solutions arising from problems of mean field games (MFGs) and mean field type c
Externí odkaz:
http://arxiv.org/abs/2412.05189
Multimodal models typically combine a powerful large language model (LLM) with a vision encoder and are then trained on multimodal data via instruction tuning. While this process adapts LLMs to multimodal settings, it remains unclear whether this ada
Externí odkaz:
http://arxiv.org/abs/2412.03467
Channel Charting is a dimensionality reduction technique that learns to reconstruct a low-dimensional, physically interpretable map of the radio environment by taking advantage of similarity relationships found in high-dimensional channel state infor
Externí odkaz:
http://arxiv.org/abs/2412.01715
This paper introduces Opus, a novel framework for generating and optimizing Workflows tailored to complex Business Process Outsourcing (BPO) use cases, focusing on cost reduction and quality enhancement while adhering to established industry processe
Externí odkaz:
http://arxiv.org/abs/2412.00573
In this paper, we investigate offline reinforcement learning (RL) with the goal of training a single robust policy that generalizes effectively across environments with unseen dynamics. We propose a novel approach, Trajectory Encoding Augmentation (T
Externí odkaz:
http://arxiv.org/abs/2411.19133
Data assimilation techniques are crucial for correcting the trajectory when modeling complex physical systems. A recently developed data assimilation method, Latent Ensemble Score Filter (Latent-EnSF), has shown great promise in addressing the key li
Externí odkaz:
http://arxiv.org/abs/2411.19305
Autor:
Zaritsky, Dennis, Chandra, Vedant, Conroy, Charlie, Bonaca, Ana, Cargile, Phillip A., Naidu, Rohan P.
The Magellanic Stream has long been known to contain multiple HI strands and corresponding stellar populations are beginning to be discovered. Combining an H3-selected sample with stars drawn from the Gaia catalog, we trace stars along a sub-dominant
Externí odkaz:
http://arxiv.org/abs/2411.15044
Autor:
Saxena, Aayush, Cameron, Alex J., Katz, Harley, Bunker, Andrew J., Chevallard, Jacopo, D'Eugenio, Francesco, Arribas, Santiago, Bhatawdekar, Rachana, Boyett, Kristan, Cargile, Phillip A., Carniani, Stefano, Charlot, Stephane, Curti, Mirko, Curtis-Lake, Emma, Hainline, Kevin, Ji, Zhiyuan, Johnson, Benjamin D., Jones, Gareth C., Kumari, Nimisha, Laseter, Isaac, Maseda, Michael V., Robertson, Brant, Simmonds, Charlotte, Tacchella, Sandro, Ubler, Hannah, Williams, Christina C., Willott, Chris, Witstok, Joris, Zhu, Yongda
The UV continuum slope of galaxies, $\beta$, is a powerful diagnostic. Understanding the redshift evolution of $\beta$ and its dependence on key galaxy properties can shed light on the evolution of galaxy physical properties over cosmic time. In this
Externí odkaz:
http://arxiv.org/abs/2411.14532
Autor:
Ratzlaff, Neale, Olson, Matthew Lyle, Hinck, Musashi, Aflalo, Estelle, Tseng, Shao-Yen, Lal, Vasudev, Howard, Phillip
Large Multi-Modal Models (LMMs) have demonstrated impressive capabilities as general-purpose chatbots that can engage in conversations about a provided input, such as an image. However, their responses are influenced by societal biases present in the
Externí odkaz:
http://arxiv.org/abs/2411.12590
Batch reinforcement learning enables policy learning without direct interaction with the environment during training, relying exclusively on previously collected sets of interactions. This approach is, therefore, well-suited for high-risk and cost-in
Externí odkaz:
http://arxiv.org/abs/2411.09722