Zobrazeno 1 - 10
of 25 508
pro vyhledávání: '"Sengupta, P P"'
Simultaneous Localization And Mapping (SLAM) from a monocular endoscopy video can enable autonomous navigation, guidance to unsurveyed regions, and 3D visualizations, which can significantly improve endoscopy experience for surgeons and patient outco
Externí odkaz:
http://arxiv.org/abs/2412.13176
Autor:
Kaplan, Daniel, Zhang, Adam, Blawat, Joanna, Jin, Rongying, Cava, Robert J., Oudovenko, Viktor, Kotliar, Gabriel, Sengupta, Anirvan M., Xie, Weiwei
The discovery of novel superconducting materials is a longstanding challenge in materials science, with a wealth of potential for applications in energy, transportation, and computing. Recent advances in artificial intelligence (AI) have enabled expe
Externí odkaz:
http://arxiv.org/abs/2412.13012
Autor:
Simard, Olivier, Dawid, Anna, Tindall, Joseph, Ferrero, Michel, Sengupta, Anirvan M., Georges, Antoine
Quantum simulators have the potential to solve quantum many-body problems that are beyond the reach of classical computers, especially when they feature long-range entanglement. To fulfill their prospects, quantum simulators must be fully controllabl
Externí odkaz:
http://arxiv.org/abs/2412.12019
Effective congestion management along signalized corridors is essential for improving productivity and reducing costs, with arterial travel time serving as a key performance metric. Traditional approaches, such as Coordinated Signal Timing and Adapti
Externí odkaz:
http://arxiv.org/abs/2412.11095
Autor:
Yanguas-Gil, Angel, Dearing, Matthew T., Elam, Jeffrey W., Jones, Jessica C., Kim, Sungjoon, Mohammad, Adnan, Nguyen, Chi Thang, Sengupta, Bratin
In this work we introduce an open-ended question benchmark, ALDbench, to evaluate the performance of large language models (LLMs) in materials synthesis, and in particular in the field of atomic layer deposition, a thin film growth technique used in
Externí odkaz:
http://arxiv.org/abs/2412.10477
Autor:
Mukherjee, Subhojyoti, Lalitha, Anusha, Sengupta, Sailik, Deshmukh, Aniket, Kveton, Branislav
Multi-objective alignment from human feedback (MOAHF) in large language models (LLMs) is a challenging problem as human preferences are complex, multifaceted, and often conflicting. Recent works on MOAHF considered a-priori multi-objective optimizati
Externí odkaz:
http://arxiv.org/abs/2412.05469
People who are blind perceive the world differently than those who are sighted, which can result in distinct motion characteristics. For instance, when crossing at an intersection, blind individuals may have different patterns of movement, such as ve
Externí odkaz:
http://arxiv.org/abs/2412.05277
We study the dynamics of entanglement asymmetry in periodically driven quantum systems. Using a periodically driven XY chain as a model for a driven integrable quantum system, we provide semi-analytic results for the behavior of the dynamics of the e
Externí odkaz:
http://arxiv.org/abs/2412.03654
We introduce a novel continual learning problem: how to sequentially update the weights of a personalized 2D and 3D generative face model as new batches of photos in different appearances, styles, poses, and lighting are captured regularly. We observ
Externí odkaz:
http://arxiv.org/abs/2412.02627
Despite the success of the O-RAN Alliance in developing a set of interoperable interfaces, development of unique Radio Access Network (RAN) deployments remains challenging. This is especially true for military communications, where deployments are hi
Externí odkaz:
http://arxiv.org/abs/2412.00983