Zobrazeno 1 - 10
of 21 095
pro vyhledávání: '"P. LIE"'
Autor:
Xu, Xinli, Ge, Wenhang, Lin, Jiantao, Feng, Jiawei, Xu, Lie, Zhao, HanFeng, Zhang, Shunsi, Chen, Ying-Cong
In this work, we introduce FlexGen, a flexible framework designed to generate controllable and consistent multi-view images, conditioned on a single-view image, or a text prompt, or both. FlexGen tackles the challenges of controllable multi-view synt
Externí odkaz:
http://arxiv.org/abs/2410.10745
Large language models have driven significant progress in natural language processing, but their deployment requires substantial compute and memory resources. As models scale, compression techniques become essential for balancing model quality with c
Externí odkaz:
http://arxiv.org/abs/2410.09982
Long-tailed learning is considered to be an extremely challenging problem in data imbalance learning. It aims to train well-generalized models from a large number of images that follow a long-tailed class distribution. In the medical field, many diag
Externí odkaz:
http://arxiv.org/abs/2410.02010
Terahertz (THz) enables promising Tbps-level wireless transmission thanks to its prospect of ultra-huge spectrum utilization and narrow beamforming in the next sixth-generation (6G) communication system. Compared to millimeter wave (mmWave), THz intr
Externí odkaz:
http://arxiv.org/abs/2409.18353
A hadron-quark phase transition (PT) may trigger supernova explosions during stellar core collapse. However, both success and failure have occurred in previous attempts to explode dying stars via this mechanism. We systematically explore the outcomes
Externí odkaz:
http://arxiv.org/abs/2409.16189
Collaborative learning is an important tool to train multiple clients more effectively by enabling communication among clients. Identifying helpful clients, however, presents challenging and often introduces significant overhead. In this paper, we mo
Externí odkaz:
http://arxiv.org/abs/2409.05539
Supervised learning-based software vulnerability detectors often fall short due to the inadequate availability of labelled training data. In contrast, Large Language Models (LLMs) such as GPT-4, are not trained on labelled data, but when prompted to
Externí odkaz:
http://arxiv.org/abs/2408.16028
A "match cut" is a common video editing technique where a pair of shots that have a similar composition transition fluidly from one to another. Although match cuts are often visual, certain match cuts involve the fluid transition of audio, where soun
Externí odkaz:
http://arxiv.org/abs/2408.10998
Autor:
Carere, Giuseppe, Lie, Han Cheng
In this work we solve, for given bounded operators $B,C$ and Hilbert--Schmidt operator $M$ acting on potentially infinite-dimensional separable Hilbert spaces, the reduced rank approximation problem, $\text{min}\{\Vert{M-BXC}\Vert_{HS}:\ \text{dim}\
Externí odkaz:
http://arxiv.org/abs/2408.05104
Autor:
Lie, Han Cheng
We consider population modelling using parametrised ordinary differential equation initial value problems (ODE-IVPs). For each individual drawn randomly from the unknown population distribution, the corresponding parameters for the ODE-IVP cannot be
Externí odkaz:
http://arxiv.org/abs/2407.09640