research
∙
09/07/2023
Three Hardness Results for Graph Similarity Problems
Notions of graph similarity provide alternative perspective on the graph...
share
research
∙
08/23/2023
Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy Movies
The dynamics of biomolecules are crucial for our understanding of their ...
research
∙
06/16/2023
Nearly-Optimal Hierarchical Clustering for Well-Clustered Graphs
This paper presents two efficient hierarchical clustering (HC) algorithm...
research
∙
04/12/2023
Ill-Posed Image Reconstruction Without an Image Prior
We consider solving ill-posed imaging inverse problems without access to...
research
∙
04/05/2023
Spectral Toolkit of Algorithms for Graphs: Technical Report (1)
Spectral Toolkit of Algorithms for Graphs (STAG) is an open-source libra...
research
∙
03/21/2023
Image Reconstruction without Explicit Priors
We consider solving ill-posed imaging inverse problems without access to...
research
∙
11/08/2022
Reinforcement Learning with Stepwise Fairness Constraints
AI methods are used in societally important settings, ranging from credi...
research
∙
10/18/2022
Research on the impact of asteroid mining on global equity
In the future situation, aiming to seek more resources, human beings dec...
research
∙
08/02/2022
A Tighter Analysis of Spectral Clustering, and Beyond
This work studies the classical spectral clustering algorithm which embe...
research
∙
07/26/2022
Nondestructive Quality Control in Powder Metallurgy using Hyperspectral Imaging
Measuring the purity in the metal powder is critical for preserving the ...
research
∙
05/05/2022
Finding Bipartite Components in Hypergraphs
Hypergraphs are important objects to model ternary or higher-order relat...
research
∙
05/04/2022
Is the Algorithmic Kadison-Singer Problem Hard?
We study the following 𝖪𝖲_2(c) problem: let c ∈ℝ^+ be some constant, and...
research
∙
04/01/2022
Differential Liquidity Provision in Uniswap v3 and Implications for Contract Design
Decentralized exchanges (DEXs) provide a means for users to trade pairs ...
research
∙
01/28/2022
Hybrid Contrastive Learning with Cluster Ensemble for Unsupervised Person Re-identification
Unsupervised person re-identification (ReID) aims to match a query image...
research
∙
01/21/2022
alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extraction
Inference is crucial in modern astronomical research, where hidden astro...
research
∙
12/16/2021
Hierarchical Clustering: O(1)-Approximation for Well-Clustered Graphs
Hierarchical clustering studies a recursive partition of a data set into...
research
∙
06/09/2021
Local Algorithms for Finding Densely Connected Clusters
Local graph clustering is an important algorithmic technique for analysi...
research
∙
06/08/2021
Optimized Rate-Profiling for PAC Codes
The polarization-adjusted convolutional (PAC) codes concatenate the pola...
research
∙
05/13/2021
End-to-End Sequential Sampling and Reconstruction for MR Imaging
Accelerated MRI shortens acquisition time by subsampling in the measurem...
research
∙
11/10/2020
Higher-Order Spectral Clustering of Directed Graphs
Clustering is an important topic in algorithms, and has a number of appl...
research
∙
10/27/2020
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging
Computational image reconstruction algorithms generally produce a single...
research
∙
09/26/2020
Decision-Aware Conditional GANs for Time Series Data
We introduce the decision-aware time-series conditional generative adver...
research
∙
06/25/2020
Augmenting the Algebraic Connectivity of Graphs
For any undirected graph G=(V,E) and a set E_W of candidate edges with E...
research
∙
05/18/2020
Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery
Recently, single gray/RGB image super-resolution reconstruction task has...
research
∙
04/17/2020
Fully-Dynamic Graph Sparsifiers Against an Adaptive Adversary
Designing dynamic graph algorithms against an adaptive adversary is a ma...
research
∙
03/23/2020
Learning a Probabilistic Strategy for Computational Imaging Sensor Selection
Optimized sensing is important for computational imaging in low-resource...
research
∙
08/06/2019
Hermitian matrices for clustering directed graphs: insights and applications
Graph clustering is a basic technique in machine learning, and has wides...
research
∙
11/27/2018
Hermitian Laplacians and a Cheeger inequality for the Max-2-Lin problem
We study spectral approaches for the MAX-2-LIN(k) problem, in which we a...
research
∙
03/15/2018
Temporal Human Action Segmentation via Dynamic Clustering
We present an effective dynamic clustering algorithm for the task of tem...
research
∙
11/03/2017