Zobrazeno 1 - 10
of 1 294 851
pro vyhledávání: '"Ian, A."'
Autor:
Cannon, Ian, Garcia, Washington, Gresavage, Thomas, Saurine, Joseph, Leong, Ian, Culbertson, Jared
Real-world problems often involve complex objective structures that resist distillation into reinforcement learning environments with a single objective. Operation costs must be balanced with multi-dimensional task performance and end-states' effects
Externí odkaz:
http://arxiv.org/abs/2409.04641
Many very large-scale systems are networks of cyber-physical systems in which humans and autonomous software agents cooperate. To make the cooperation safe for the humans involved, the systems have to follow protocols with rigid real-time and real-sp
Externí odkaz:
http://arxiv.org/abs/2410.14110
Autor:
Ermatov, Arthur, Kost, Melisande, Yin, Xin, Butler, Paul, Dass, Mihir, Sharp, Ian D., Liedl, Tim, Bein, Thomas, Posnjak, Gregor
While DNA origami is a powerful bottom-up fabrication technique, the physical and chemical stability of DNA nanostructures is generally limited to aqueous buffer conditions. Wet chemical silicification can stabilise these structures but does not add
Externí odkaz:
http://arxiv.org/abs/2410.13393
Applying the Velocity Gradient Technique in NGC 1333: Comparison with Dust Polarization Observations
Magnetic fields (B-fields) are ubiquitous in the interstellar medium (ISM), and they play an essential role in the formation of molecular clouds and subsequent star formation. However, B-fields in interstellar environments remain challenging to measu
Externí odkaz:
http://arxiv.org/abs/2410.13350
Autor:
Khan, Arham, Nief, Todd, Hudson, Nathaniel, Sakarvadia, Mansi, Grzenda, Daniel, Ajith, Aswathy, Pettyjohn, Jordan, Chard, Kyle, Foster, Ian
Understanding neural networks is crucial to creating reliable and trustworthy deep learning models. Most contemporary research in interpretability analyzes just one model at a time via causal intervention or activation analysis. Yet despite successes
Externí odkaz:
http://arxiv.org/abs/2410.12927
Autor:
Sun, Xingzhi, Liao, Danqi, MacDonald, Kincaid, Zhang, Yanlei, Liu, Chen, Huguet, Guillaume, Wolf, Guy, Adelstein, Ian, Rudner, Tim G. J., Krishnaswamy, Smita
Rapid growth of high-dimensional datasets in fields such as single-cell RNA sequencing and spatial genomics has led to unprecedented opportunities for scientific discovery, but it also presents unique computational and statistical challenges. Traditi
Externí odkaz:
http://arxiv.org/abs/2410.12779
Autor:
Matos, João, Chen, Shan, Placino, Siena, Li, Yingya, Pardo, Juan Carlos Climent, Idan, Daphna, Tohyama, Takeshi, Restrepo, David, Nakayama, Luis F., Pascual-Leone, Jose M. M., Savova, Guergana, Aerts, Hugo, Celi, Leo A., Wong, A. Ian, Bitterman, Danielle S., Gallifant, Jack
Multimodal/vision language models (VLMs) are increasingly being deployed in healthcare settings worldwide, necessitating robust benchmarks to ensure their safety, efficacy, and fairness. Multiple-choice question and answer (QA) datasets derived from
Externí odkaz:
http://arxiv.org/abs/2410.12722
Affordances are central to robotic manipulation, where most tasks can be simplified to interactions with task-specific regions on objects. By focusing on these key regions, we can abstract away task-irrelevant information, simplifying the learning pr
Externí odkaz:
http://arxiv.org/abs/2410.12124
This paper presents a novel actuator system combining a twisted string actuator (TSA) with a winch mechanism. Relative to traditional hydraulic and pneumatic systems in robotics, TSAs are compact and lightweight but face limitations in stroke length
Externí odkaz:
http://arxiv.org/abs/2410.12097
Applications are increasingly written as dynamic workflows underpinned by an execution framework that manages asynchronous computations across distributed hardware. However, execution frameworks typically offer one-size-fits-all solutions for data fl
Externí odkaz:
http://arxiv.org/abs/2410.12092