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of 614
pro vyhledávání: '"Huang Yichen"'
Shared training approaches, such as multi-task learning (MTL) and gradient-based meta-learning, are widely used in various machine learning applications, but they often suffer from negative transfer, leading to performance degradation in specific tas
Externí odkaz:
http://arxiv.org/abs/2412.04413
Autor:
Huang, Yichen
We prove that for all but a measure zero set of local Hamiltonians, starting from random product states at sufficiently high but finite temperature, with overwhelming probability expectation values of observables equilibrate such that at sufficiently
Externí odkaz:
http://arxiv.org/abs/2409.08436
We consider mid-spectrum eigenstates of the Sachdev-Ye-Kiteav (SYK) model. We prove that for subsystems whose size is a constant fraction of the system size, the entanglement entropy deviates from the maximum entropy by at least a positive constant.
Externí odkaz:
http://arxiv.org/abs/2409.07043
The objective of this work is to investigate the utility and effectiveness of the high-order scheme for simulating unsteady turbulent flows. To achieve it, the studies were conducted from two perspectives: (i) the ability of different numerical schem
Externí odkaz:
http://arxiv.org/abs/2407.19764
Autor:
Huang, Yichen
To simulate thermalizing systems at long times, the most straightforward approach is to calculate the thermal properties at the corresponding energy. In a quantum many-body system of size $N$, for local observables and many initial states, this appro
Externí odkaz:
http://arxiv.org/abs/2406.05399
Autor:
Huang, Yichen, Kochmar, Ekaterina
Text simplification lacks a universal standard of quality, and annotated reference simplifications are scarce and costly. We propose to alleviate such limitations by introducing REFeREE, a reference-free model-based metric with a 3-stage curriculum.
Externí odkaz:
http://arxiv.org/abs/2403.17640
Autor:
Huang, Yichen, Baldwin, Timothy
We investigate MT evaluation metric performance on adversarially-synthesized texts, to shed light on metric robustness. We experiment with word- and character-level attacks on three popular machine translation metrics: BERTScore, BLEURT, and COMET. O
Externí odkaz:
http://arxiv.org/abs/2311.00508
Autor:
Huang, Yichen
Publikováno v:
New Journal of Physics 26 (7), 072001 (Fast Track Communication), 2024
A Floquet quantum system is governed by a Hamiltonian that is periodic in time. Consider the space of piecewise time-independent Floquet systems with (geometrically) local interactions. We prove that for all but a measure zero set of systems in this
Externí odkaz:
http://arxiv.org/abs/2309.05641
Autor:
Huang, Yichen, Harrow, Aram W.
In an isolated quantum many-body system undergoing unitary evolution, the entropy of a subsystem (smaller than half the system size) thermalizes if at long times, it is to leading order equal to the thermodynamic entropy of the subsystem at the same
Externí odkaz:
http://arxiv.org/abs/2302.10165
We have recently seen great progress in learning interpretable music representations, ranging from basic factors, such as pitch and timbre, to high-level concepts, such as chord and texture. However, most methods rely heavily on music domain knowledg
Externí odkaz:
http://arxiv.org/abs/2302.10890