Zobrazeno 1 - 10
of 3 239
pro vyhledávání: '"Tran, Quoc A."'
This paper introduces TemporalVLM, a video large language model capable of effective temporal reasoning and fine-grained understanding in long videos. At the core, our approach includes a visual encoder for mapping a long-term input video into featur
Externí odkaz:
http://arxiv.org/abs/2412.02930
Publikováno v:
2023 Asia Meeting on Environment and Electrical Engineering (EEE-AM), Hanoi, Vietnam, 2023, pp. 01-06
This paper presents a scaling study on the planning phase of a multi-energy system (MES), which is becoming increasingly prominent in the energy sector. The research aims to investigate the interactions and challenges associated with integrating heat
Externí odkaz:
http://arxiv.org/abs/2410.17603
Vision science imposes rigorous requirements for the design and execution of psychophysical studies and experiments. These requirements ensure precise control over variables, accurate measurement of perceptual responses, and reproducibility of result
Externí odkaz:
http://arxiv.org/abs/2410.17019
Autor:
Schwarz, Jan Sören, Perez, Leonard Enrique Ramos, Pham, Minh Cong, Heussen, Kai, Tran, Quoc Tuan
Publikováno v:
2024 Open Source Modelling and Simulation of Energy Systems (OSMSES), Vienna, Austria, 2024, pp. 1-7
In context of highly complex energy system experiments, sensitivity analysis is gaining more and more importance to investigate the effects changing parameterization has on the outcome. Thus, it is crucial how to design an experiment to efficiently u
Externí odkaz:
http://arxiv.org/abs/2410.16923
Equivariant quantum neural networks (QNNs) are promising quantum machine learning models that exploit symmetries to provide potential quantum advantages. Despite theoretical developments in equivariant QNNs, their implementation on near-term quantum
Externí odkaz:
http://arxiv.org/abs/2410.01252
Echo state property (ESP) is a fundamental property that allows an input-driven dynamical system to perform information processing tasks. Recently, extensions of ESP to potentially nonstationary systems and subsystems, that is, nonstationary ESP and
Externí odkaz:
http://arxiv.org/abs/2409.12693
Conditional video diffusion models (CDM) have shown promising results for video synthesis, potentially enabling the generation of realistic echocardiograms to address the problem of data scarcity. However, current CDMs require a paired segmentation m
Externí odkaz:
http://arxiv.org/abs/2408.03035
Quantum machine learning (QML) requires significant quantum resources to achieve quantum advantage. Research should prioritize both the efficient design of quantum architectures and the development of learning strategies to optimize resource usage. W
Externí odkaz:
http://arxiv.org/abs/2407.02419
Quantum neural networks (QNNs) require an efficient training algorithm to achieve practical quantum advantages. A promising approach is the use of gradient-based optimization algorithms, where gradients are estimated through quantum measurements. How
Externí odkaz:
http://arxiv.org/abs/2406.18316
Publikováno v:
Phys. Rev. E 110, 024207 (2024)
The echo state property (ESP) represents a fundamental concept in the reservoir computing (RC) framework that ensures output-only training of reservoir networks by being agnostic to the initial states and far past inputs. However, the traditional def
Externí odkaz:
http://arxiv.org/abs/2403.02686