Zobrazeno 1 - 10
of 4 526
pro vyhledávání: '"Kolobov AN"'
Autor:
Kolobov, Vladimir, Schoenbaum, Lucius
We compare traditional finite volume and Physics Informed Neural Network (PINN) solvers for elliptic (Poisson), hyperbolic (advection), and parabolic (diffusion) equations in 2d settings. We describe the challenges of using traditional and PINN solve
Externí odkaz:
http://arxiv.org/abs/2412.16706
TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies
Autor:
Zheng, Ruijie, Liang, Yongyuan, Huang, Shuaiyi, Gao, Jianfeng, Daumé III, Hal, Kolobov, Andrey, Huang, Furong, Yang, Jianwei
Although large vision-language-action (VLA) models pretrained on extensive robot datasets offer promising generalist policies for robotic learning, they still struggle with spatial-temporal dynamics in interactive robotics, making them less effective
Externí odkaz:
http://arxiv.org/abs/2412.10345
A hybrid kinetic-fluid model is used to study plasma stratification in alternating current (AC) discharges in noble gases at low plasma densities. Self-consistent coupled solutions of a nonlocal kinetic equation for electrons, a drift-diffusion equat
Externí odkaz:
http://arxiv.org/abs/2406.05926
We study the potential of using large language models (LLMs) as an interactive optimizer for solving maximization problems in a text space using natural language and numerical feedback. Inspired by the classical optimization literature, we classify t
Externí odkaz:
http://arxiv.org/abs/2405.16434
Publikováno v:
Optics Letters 49, 4078 (2024)
Frequency-degenerate pulsed type-I parametric downconversion is a widely used source of squeezed light for numerous quantum optical applications. However, this source is typically spectrally multimode and the generated squeezing is distributed betwee
Externí odkaz:
http://arxiv.org/abs/2404.10560
Autor:
Hashimoto, Kazuki, Horoshko, Dmitri B., Kolobov, Mikhail I., Michael, Yoad, Gefen, Ziv, Chekhova, Maria V.
Fourier-transform infrared spectroscopy (FTIR) is an indispensable analytical method that allows label-free identification of substances via fundamental molecular vibrations. However, the sensitivity of FTIR is often limited by the low efficiency of
Externí odkaz:
http://arxiv.org/abs/2403.05423
Temporal action abstractions, along with belief state representations, are a powerful knowledge sharing mechanism for sequential decision making. In this work, we propose a novel view that treats inducing temporal action abstractions as a sequence co
Externí odkaz:
http://arxiv.org/abs/2402.10450
This paper investigates the self-pulsing of Dielectric Barrier Discharges (DBDs) at low driving frequencies. In particular, (a) the dependence of current on the product pd of gas pressure p and the gas gap length d, (b) the effects of lossy dielectri
Externí odkaz:
http://arxiv.org/abs/2401.12410
We introduce a new benchmark, LLF-Bench (Learning from Language Feedback Benchmark; pronounced as "elf-bench"), to evaluate the ability of AI agents to interactively learn from natural language feedback and instructions. Learning from language feedba
Externí odkaz:
http://arxiv.org/abs/2312.06853
We describe kinetic simulations of transient problems in partially ionized weakly-collisional plasma around spherical bodies absorbing or emitting charged particles. Numerical solutions of kinetic equations for electrons and ions in 1D2V phase space
Externí odkaz:
http://arxiv.org/abs/2311.06655