Zobrazeno 1 - 10
of 24 051
pro vyhledávání: '"P. P. Narayanan"'
Autor:
Zhang, Yating, Menon, Narayanan
We report measurements of the mean settling velocities for suspensions of discs and rods in the stokes regime for a number of particle aspect ratios. All these shapes display "hindered settling", namely, a decrease in settling speed as the solid volu
Externí odkaz:
http://arxiv.org/abs/2411.14363
We revisit the problem of estimating the mean of a high-dimensional distribution in the presence of an $\varepsilon$-fraction of adversarial outliers. When $\varepsilon$ is at most some sufficiently small constant, previous works can achieve optimal
Externí odkaz:
http://arxiv.org/abs/2411.14305
Autor:
Vassoyan, Jean, Schütt, Anan, Vie, Jill-Jênn, Lekshmi-Narayanan, Arun-Balajiee, André, Elisabeth, Vayatis, Nicolas
Massive Open Online Courses (MOOCs) have greatly contributed to making education more accessible. However, many MOOCs maintain a rigid, one-size-fits-all structure that fails to address the diverse needs and backgrounds of individual learners. Learni
Externí odkaz:
http://arxiv.org/abs/2411.11520
Ensuring a smooth rate of efflux of particles from an outlet without unpredictable clogging events is crucial in processing powders and grains. We show by experiments and simulations that an obstacle placed near the outlet can greatly suppress clog f
Externí odkaz:
http://arxiv.org/abs/2411.11264
Autor:
Feng, Tiantian, Xu, Anfeng, Lahiri, Rimita, Tager-Flusberg, Helen, Kim, So Hyun, Bishop, Somer, Lord, Catherine, Narayanan, Shrikanth
Large Language Models (LLMs) have shown significant potential in understanding human communication and interaction. However, their performance in the domain of child-inclusive interactions, including in clinical settings, remains less explored. In th
Externí odkaz:
http://arxiv.org/abs/2411.10761
Fluid-solid interfacial free energy (IFE) is a fundamental parameter influencing wetting behaviors, which play a crucial role across a broad range of industrial applications. Obtaining reliable data for fluid-solid IFE remains challenging with experi
Externí odkaz:
http://arxiv.org/abs/2411.09932
Autor:
Sahoo, Krishna Rani, Talluri, Manoj, Maity, Dipak, Mundlia, Suman, Lal, Ashique, Devapriya, M. S., Haldar, Arabinda, Murapaka, Chandrasekhar, Narayanan, Tharangattu N.
Two-dimensional (2D) transition metal di-chalcogenide layers with high electrical conductivity and spin-orbit coupling (SOC) can find huge potential in spintronic devices. With limited success of 2D spin Hall material development, we demonstrate vana
Externí odkaz:
http://arxiv.org/abs/2411.09277
Computational narrative understanding studies the identification, description, and interaction of the elements of a narrative: characters, attributes, events, and relations. Narrative research has given considerable attention to defining and classify
Externí odkaz:
http://arxiv.org/abs/2411.05227
Autor:
Gao, Rujun, Guo, Xiaosu, Li, Xiaodi, Narayanan, Arun Balajiee Lekshmi, Thomas, Naveen, Srinivasa, Arun R.
This study explores the feasibility of using large language models (LLMs), specifically GPT-4o (ChatGPT), for automated grading of conceptual questions in an undergraduate Mechanical Engineering course. We compared the grading performance of GPT-4o w
Externí odkaz:
http://arxiv.org/abs/2411.03659
We study the problem of learning mixtures of Gaussians with approximate differential privacy. We prove that roughly $kd^2 + k^{1.5} d^{1.75} + k^2 d$ samples suffice to learn a mixture of $k$ arbitrary $d$-dimensional Gaussians up to low total variat
Externí odkaz:
http://arxiv.org/abs/2411.02298