Zobrazeno 1 - 10
of 47 949
pro vyhledávání: '"Guha, A."'
Autor:
Saad-Falcon, Jon, Lafuente, Adrian Gamarra, Natarajan, Shlok, Maru, Nahum, Todorov, Hristo, Guha, Etash, Buchanan, E. Kelly, Chen, Mayee, Guha, Neel, Ré, Christopher, Mirhoseini, Azalia
Inference-time techniques are emerging as highly effective tools to enhance large language model (LLM) capabilities. However, best practices for developing systems that combine these techniques remain underdeveloped due to our limited understanding o
Externí odkaz:
http://arxiv.org/abs/2409.15254
Understanding local risks from extreme rainfall, such as flooding, requires both long records (to sample rare events) and high-resolution products (to assess localized hazards). Unfortunately, there is a dearth of long-record and high-resolution prod
Externí odkaz:
http://arxiv.org/abs/2410.00381
A key component of dyadic spoken interactions is the contextually relevant non-verbal gestures, such as head movements that reflect a listener's response to the interlocutor's speech. Although significant progress has been made in the context of gene
Externí odkaz:
http://arxiv.org/abs/2409.20188
Autor:
Martins, Jessica B., Grant, G., Haskel, D., Sterbinsky, G. E., Masiulionis, I., Sautter, K., Karapetrova, E., Guha, S., Freeland, J. W.
Erbium-doped \ch{TiO2} materials are promising candidates for advancing quantum technologies, necessitating a thorough understanding of their electronic and crystal structures to tailor their properties and enhance coherence times. This study explore
Externí odkaz:
http://arxiv.org/abs/2409.19495
Autor:
Sen, Debashree, Guha, Atanu
We studied the possible presence of dark matter (DM) in neutron stars (NSs) and the structural properties of the DM admixed NSs (DMANSs) in one of our recent works \cite{Guha:2024pnn}. The feeble interaction between the fermionic DM ($\chi$) with the
Externí odkaz:
http://arxiv.org/abs/2409.18890
Quantum neural networks are deemed suitable to replace classical neural networks in their ability to learn and scale up network models using quantum-exclusive phenomena like superposition and entanglement. However, in the noisy intermediate scale qua
Externí odkaz:
http://arxiv.org/abs/2409.15958
This work proposes a kinodynamic motion planning technique for collaborative object transportation by multiple mobile manipulators in dynamic environments. A global path planner computes a linear piecewise path from start to goal. A novel algorithm d
Externí odkaz:
http://arxiv.org/abs/2409.14910
Autor:
Vyas, Kushal, Humayun, Ahmed Imtiaz, Dashpute, Aniket, Baraniuk, Richard G., Veeraraghavan, Ashok, Balakrishnan, Guha
Implicit neural representations (INRs) have demonstrated success in a variety of applications, including inverse problems and neural rendering. An INR is typically trained to capture one signal of interest, resulting in learned neural features that a
Externí odkaz:
http://arxiv.org/abs/2409.09566
Non-invasive and continuous blood pressure (BP) monitoring is essential for the early prevention of many cardiovascular diseases. Estimating arterial blood pressure (ABP) from photoplethysmography (PPG) has emerged as a promising solution. However, e
Externí odkaz:
http://arxiv.org/abs/2409.09021
A large number of multi-attribute group decisionmaking (MAGDM) have been widely introduced to obtain consensus results. However, most of the methodologies ignore the conflict among the experts opinions and only consider equal or variable priorities o
Externí odkaz:
http://arxiv.org/abs/2409.08450