Zobrazeno 1 - 10
of 9 841
pro vyhledávání: '"Narain P"'
Autor:
Xu, Maxwell A., Narain, Jaya, Darnell, Gregory, Hallgrimsson, Haraldur, Jeong, Hyewon, Forde, Darren, Fineman, Richard, Raghuram, Karthik J., Rehg, James M., Ren, Shirley
We present RelCon, a novel self-supervised \textit{Rel}ative \textit{Con}trastive learning approach that uses a learnable distance measure in combination with a softened contrastive loss for training an motion foundation model from wearable sensors.
Externí odkaz:
http://arxiv.org/abs/2411.18822
Autor:
Rayavaram, Pranathi, Onyinyechukwu, Ukaegbu, Abbasalizadeh, Maryam, Vellamchetty, Krishnaa, Narain, Sashank
This paper presents an educational tool designed to enhance cryptography education for K-12 students, utilizing Kolb's Experiential Learning (EL) model and engaging visual components. Our tool incorporates the four stages of EL -- Concrete Experience
Externí odkaz:
http://arxiv.org/abs/2411.02143
We investigate the path integral of the four-dimensional Einstein-Hilbert gravity for the deSitter-like Universe with fluctuations and study the transition amplitude from one boundary configuration to another for the gravitational system described by
Externí odkaz:
http://arxiv.org/abs/2410.19724
Large language models (LLMs) could be valuable personal AI agents across various domains, provided they can precisely follow user instructions. However, recent studies have shown significant limitations in LLMs' instruction-following capabilities, ra
Externí odkaz:
http://arxiv.org/abs/2410.14582
Autor:
Heo, Juyeon, Heinze-Deml, Christina, Elachqar, Oussama, Ren, Shirley, Nallasamy, Udhay, Miller, Andy, Chan, Kwan Ho Ryan, Narain, Jaya
Instruction-following is crucial for building AI agents with large language models (LLMs), as these models must adhere strictly to user-provided constraints and guidelines. However, LLMs often fail to follow even simple and clear instructions. To imp
Externí odkaz:
http://arxiv.org/abs/2410.14516
In this paper, we derive the approximate controllability of fractional evolution hemivariational inequalities in reflexive Banach spaces involving Caputo fractional derivatives. We first show that the original problem is connected with a fractional d
Externí odkaz:
http://arxiv.org/abs/2408.05536
The gravitational path-integral of Gauss-Bonnet gravity is investigated and the transition from one spacelike boundary configuration to another is analyzed. Of particular interest is the case of Neumann and Robin boundary conditions which is known to
Externí odkaz:
http://arxiv.org/abs/2407.16692
We propose a model for the coupling between free fluid and a linearized poro-hyperelastic body. In this model, the Brinkman equation is employed for fluid flow in the porous medium, incorporating inertial effects into the fluid dynamics. A generalize
Externí odkaz:
http://arxiv.org/abs/2407.13684
Autor:
Chheang, Vuthea, Narain, Saurabh, Hooten, Garrett, Cerda, Robert, Au, Brian, Weston, Brian, Giera, Brian, Bremer, Peer-Timo, Miao, Haichao
Digital twins (DTs) are an emerging capability in additive manufacturing (AM), set to revolutionize design optimization, inspection, in situ monitoring, and root cause analysis. AM DTs typically incorporate multimodal data streams, ranging from machi
Externí odkaz:
http://arxiv.org/abs/2405.12931
A one-dimensional quantum wire of Fermions is considered and ground state properties are calculated in the high density regime within the extended quasiparticle picture and Born approximation. Expanding the two-particle Green functions determines the
Externí odkaz:
http://arxiv.org/abs/2311.02414