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05/12/2023
Monitoring and Adapting ML Models on Mobile Devices
ML models are increasingly being pushed to mobile devices, for low-laten...
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03/31/2023
Robust estimation of large factor models for tensor-valued time series
In this paper, we consider inference in the context of a factor model fo...
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03/06/2023
Huber Principal Component Analysis for Large-dimensional Factor Models
Factor models have been widely used in economics and finance. However, t...
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01/31/2023
Self-Consistent Velocity Matching of Probability Flows
We present a discretization-free scalable framework for solving a large ...
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11/22/2022
The Euclidean Space is Evil: Hyperbolic Attribute Editing for Few-shot Image Generation
Few-shot image generation is a challenging task since it aims to generat...
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10/24/2022
Sampling with Mollified Interaction Energy Descent
Sampling from a target measure whose density is only known up to a norma...
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06/20/2022
Statistical Inference for Large-dimensional Tensor Factor Model by Weighted/Unweighted Projection
Tensor Factor Models (TFM) are appealing dimension reduction tools for h...
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01/28/2022
Wasserstein Iterative Networks for Barycenter Estimation
Wasserstein barycenters have become popular due to their ability to repr...
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01/28/2022
Learning Proximal Operators to Discover Multiple Optima
Finding multiple solutions of non-convex optimization problems is a ubiq...
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11/23/2021
A Conservative Finite Element Solver for MHD Kinematics equations: Vector Potential method and Constraint Preconditioning
A new conservative finite element solver for the three-dimensional stead...
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11/16/2021
Block preconditioning methods for asymptotic preserving scheme arising in anisotropic elliptic problems
Efficient and robust iterative solvers for strong anisotropic elliptic e...
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09/13/2021
Interactive All-Hex Meshing via Cuboid Decomposition
Standard PolyCube-based hexahedral (hex) meshing methods aim to deform t...
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06/03/2021
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark
Despite the recent popularity of neural network-based solvers for optima...
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06/01/2021
Large-Scale Wasserstein Gradient Flows
Wasserstein gradient flows provide a powerful means of understanding and...
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02/02/2021
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization
Wasserstein barycenters provide a geometric notion of the weighted avera...
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08/28/2020
Continuous Regularized Wasserstein Barycenters
Wasserstein barycenters provide a geometrically meaningful way to aggreg...
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08/21/2020
A constrained transport divergence-free finite element method for Incompressible MHD equations
In this paper we study finite element method for three-dimensional incom...
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06/15/2020
Comparing Alternative Route Planning Techniques: A Web-based Demonstration and User Study
Due to the popularity of smartphones, cheap wireless networks and availa...
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05/22/2020
SentPWNet: A Unified Sentence Pair Weighting Network for Task-specific Sentence Embedding
Pair-based metric learning has been widely adopted to learn sentence emb...
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11/22/2018
