129 citations · 372 across the 27 of their papers we have counts for
6 papers · 1 filter
Polynomial Distributions and Transformations
Yue Yu, Pavel Loskot
Polynomials are common algebraic structures, which are often used to approximate functions including probability distributions. This paper proposes to directly define polynomial di…
Transferability Estimation Based On Principal Gradient Expectation
Huiyan Qi, Lechao Cheng, Jingjing Chen +4
Transfer learning aims to improve the performance of target tasks by transferring knowledge acquired in source tasks. The standard approach is pre-training followed by fine-tuning…
Cost Design in Atomic Routing Games
Yue Yu, Shenghui Chen, David Fridovich-Keil +1
An atomic routing game is a multiplayer game on a directed graph. Each player in the game chooses a path -- a sequence of links that connect its origin node to its destination node…
Physics-Informed Deep Neural Operator Networks
Somdatta Goswami, Aniruddha Bora, Yue Yu +1
Standard neural networks can approximate general nonlinear operators, represented either explicitly by a combination of mathematical operators, e.g., in an advection-diffusion-reac…
Extrapolated Proportional-Integral Projected Gradient Method for Conic Optimization
Yue Yu, Purnanand Elango, Behçet Açıkmeşe +1
Conic optimization is the minimization of a convex quadratic function subject to conic constraints. We introduce a novel first-order method for conic optimization, named \emph{extr…
Nonlocal Kernel Network (NKN): a Stable and Resolution-Independent Deep Neural Network
Huaiqian You, Yue Yu, Marta D'Elia +2
Neural operators have recently become popular tools for designing solution maps between function spaces in the form of neural networks. Differently from classical scientific machin…