Zobrazeno 1 - 10
of 12 724
pro vyhledávání: '"Padmanabhan, P."'
Autor:
Pfrommer, Daniel, Padmanabhan, Swati, Ahn, Kwangjun, Umenberger, Jack, Marcucci, Tobia, Mhammedi, Zakaria, Jadbabaie, Ali
Recent work in imitation learning has shown that having an expert controller that is both suitably smooth and stable enables stronger guarantees on the performance of the learned controller. However, constructing such smoothed expert controllers for
Externí odkaz:
http://arxiv.org/abs/2410.00859
Autor:
Padmanabhan, Ram, Ornik, Melkior
When a malfunction causes a control system to lose authority over a subset of its actuators, achieving a task may require spending additional energy in order to compensate for the effect of uncontrolled inputs. To understand this increase in energy,
Externí odkaz:
http://arxiv.org/abs/2410.00323
Tailored 3D microphantoms: an essential tool for quantitative phase tomography analysis of organoids
Autor:
Ziemczonok, Michal, Desissaire, Sylvia, Neri, Jeremy, Kus, Arkadiusz, Herve, Lionel, Fiche, Cecile, Godefroy, Guillaume, Fackeure, Marie, Damien, Sery, Krauze, Wojciech, Padmanabhan, Kiran, Paviolo, Chiara, Kujawinska, Malgorzata
We present a novel approach for benchmarking and validating quantitative phase tomography (QPT) systems using three-dimensional microphantoms. These microphantoms, crafted from biological and imaging data, replicate the optical and structural propert
Externí odkaz:
http://arxiv.org/abs/2409.16888
We study the oracle complexity of nonsmooth nonconvex optimization, with the algorithm assumed to have access only to local function information. It has been shown by Davis, Drusvyatskiy, and Jiang (2023) that for nonsmooth Lipschitz functions satisf
Externí odkaz:
http://arxiv.org/abs/2409.10323
Autor:
Tiwari, Prabhakar, Schwarz, Dominik J., Zhao, Gong-Bo, Durrer, Ruth, Kunz, Martin, Padmanabhan, Hamsa
We utilize the Sloan Digital Sky Survey (SDSS) extended Baryon Oscillation Spectroscopic Survey (eBOSS) and Baryon Oscillation Spectroscopic Survey (BOSS) catalogs with precise spectroscopic redshifts to estimate the kinematic redshift dipole caused
Externí odkaz:
http://arxiv.org/abs/2409.09946
Classifying Yang-Baxter operators is an essential first step in the study of the simulation of integrable quantum systems on quantum computers. One of the earliest initiatives was taken by Hietarinta in classifying constant Yang-Baxter solutions for
Externí odkaz:
http://arxiv.org/abs/2409.05375
Autor:
Cho, Hyunsung, Sendhilnathan, Naveen, Nebeling, Michael, Wang, Tianyi, Padmanabhan, Purnima, Browder, Jonathan, Lindlbauer, David, Jonker, Tanya R., Todi, Kashyap
We introduce SonoHaptics, an audio-haptic cursor for gaze-based 3D object selection. SonoHaptics addresses challenges around providing accurate visual feedback during gaze-based selection in Extended Reality (XR), e.g., lack of world-locked displays
Externí odkaz:
http://arxiv.org/abs/2409.00784
Autor:
Padmanabhan, Hamsa, Loeb, Abraham
We use the inferred evolution of Lyman-$\alpha$ luminosities of galaxies in the redshift range of $z \sim 9-16$ from the $James \ Webb \ Space \ Telescope$ (JWST) data to predict the power spectrum of Loeb-Rybicki haloes formed by scattered Lyman-$\a
Externí odkaz:
http://arxiv.org/abs/2408.16820
Motivated by the design question of additional fuel needed to complete a task in an uncertain environment, this paper introduces metrics to quantify the maximal additional energy used by a control system in the presence of bounded disturbances when c
Externí odkaz:
http://arxiv.org/abs/2408.10913
Nowadays, cloud-based services are widely favored over the traditional approach of locally training a Neural Network (NN) model. Oftentimes, a cloud service processes multiple requests from users--thus training multiple NN models concurrently. Howeve
Externí odkaz:
http://arxiv.org/abs/2408.01331