183 citations · 763 across the 47 of their papers we have counts for
48 papers
Nuisance-Aware Muon Tomography
Zhizheng Zhao, Changhao Qin, Rongfeng Zhang +5
Cosmic-ray muon scattering tomography can image dense, shielded, or inaccessible objects without an artificial radiation source. In a compact magnet-free tracker, however, each acc…
Initialization and Alignment for Adversarial Texture Optimization
Xiaoming Zhao, Zhizhen Zhao, Alexander G. Schwing
While recovery of geometry from image and video data has received a lot of attention in computer vision, methods to capture the texture for a given geometry are less mature. Specif…
Orthogonal Matrix Retrieval with Spatial Consensus for 3D Unknown-View Tomography
Shuai Huang, Mona Zehni, Ivan Dokmanić +1
Unknown-view tomography (UVT) reconstructs a 3D density map from its 2D projections at unknown, random orientations. A line of work starting with Kam (1980) employs the method of m…
A Spectral Method for Joint Community Detection and Orthogonal Group Synchronization
Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao
Community detection and orthogonal group synchronization are both fundamental problems with a variety of important applications in science and engineering. In this work, we conside…
Spacetime Neural Network for High Dimensional Quantum Dynamics
Jiangran Wang, Zhuo Chen, Di Luo +3
We develop a spacetime neural network method with second order optimization for solving quantum dynamics from the high dimensional Schrödinger equation. In contrast to the standard…
An Adversarial Learning Based Approach for Unknown View Tomographic Reconstruction
Mona Zehni, Zhizhen Zhao
The goal of 2D tomographic reconstruction is to recover an image given its projections from various views. It is often presumed that projection angles associated with the projectio…
DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization
Safa Messaoud, Ismini Lourentzou, Assma Boughoula +4
The recent growth of web video sharing platforms has increased the demand for systems that can efficiently browse, retrieve and summarize video content. Query-aware multi-video sum…
Advances in Machine and Deep Learning for Modeling and Real-time Detection of Multi-Messenger Sources
E. A. Huerta, Zhizhen Zhao
We live in momentous times. The science community is empowered with an arsenal of cosmic messengers to study the Universe in unprecedented detail. Gravitational waves, electromagne…
Joint Community Detection and Rotational Synchronization via Semidefinite Programming
Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao
In the presence of heterogeneous data, where randomly rotated objects fall into multiple underlying categories, it is challenging to simultaneously classify them into clusters and…
Spatial-temporal switching estimators for imaging locally concentrated dynamics
Parisa Karimi, Mark Butala, Zhizhen Zhao +1
The evolution of images with physics-based dynamics is often spatially localized and nonlinear. A switching linear dynamic system (SLDS) is a natural model under which to pose such…
MSR-GAN: Multi-Segment Reconstruction via Adversarial Learning
Mona Zehni, Zhizhen Zhao
Multi-segment reconstruction (MSR) is the problem of estimating a signal given noisy partial observations. Here each observation corresponds to a randomly located segment of the si…
UVTomo-GAN: An adversarial learning based approach for unknown view X-ray tomographic reconstruction
Mona Zehni, Zhizhen Zhao
Tomographic reconstruction recovers an unknown image given its projections from different angles. State-of-the-art methods addressing this problem assume the angles associated with…
Gauge Invariant and Anyonic Symmetric Transformer and RNN Quantum States for Quantum Lattice Models
Di Luo, Zhuo Chen, Kaiwen Hu +3
Symmetries such as gauge invariance and anyonic symmetry play a crucial role in quantum many-body physics. We develop a general approach to constructing gauge invariant or anyonic…
Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem
Bingcong Li, Lingda Wang, Georgios B. Giannakis +1
Aiming at convex optimization under structural constraints, this work introduces and analyzes a variant of the Frank Wolfe (FW) algorithm termed ExtraFW. The distinct feature of Ex…
Quantification of mismatch error in randomly switching linear state-space models
Parisa Karimi, Zhizhen Zhao, Mark Butala +1
Switching Kalman Filters (SKF) are well known for their ability to solve the piecewise linear dynamic system estimation problem using the standard Kalman Filter (KF). Practical SKF…
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations
Lingda Wang, Bingcong Li, Huozhi Zhou +3
This paper studies the adversarial graphical contextual bandits, a variant of adversarial multi-armed bandits that leverage two categories of the most common side information: \emp…
Efficient model selection in switching linear dynamic systems by graph clustering
Parisa Karimi, Mark Butala, Zhizhen Zhao +1
The computation required for a switching Kalman Filter (SKF) increases exponentially with the number of system operation modes. In this paper, a computationally tractable graph rep…
3D unknown view tomography via rotation invariants
Mona Zehni, Shuai Huang, Ivan Dokmanić +1
In this paper, we study the problem of reconstructing a 3D point source model from a set of 2D projections at unknown view angles. Our method obviates the need to recover the proje…
Joint Angular Refinement and Reconstruction for Single-Particle Cryo-EM
Mona Zehni, Laurène Donati, Emmanuel Soubies +2
Single-particle cryo-electron microscopy (cryo-EM) reconstructs the three-dimensional (3D) structure of bio-molecules from a large set of 2D projection images with random and unkno…
Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms
Arjun Gupta, E. A. Huerta, Zhizhen Zhao +1
Myocardial infarction is the leading cause of death worldwide. In this paper, we design domain-inspired neural network models to detect myocardial infarction. First, we study the c…
Enabling real-time multi-messenger astrophysics discoveries with deep learning
E. A. Huerta, Gabrielle Allen, Igor Andreoni +57
Multi-messenger astrophysics is a fast-growing, interdisciplinary field that combines data, which vary in volume and speed of data processing, from many different instruments that…
Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits
Lingda Wang, Huozhi Zhou, Bingcong Li +2
Cascading bandit (CB) is a popular model for web search and online advertising, where an agent aims to learn the most attractive items out of a ground set of size during th…
Multi-Frequency Vector Diffusion Maps
Yifeng Fan, Zhizhen Zhao
We introduce multi-frequency vector diffusion maps (MFVDM), a new framework for organizing and analyzing high dimensional datasets. The new method is a mathematical and algorithmic…
Unsupervised Co-Learning on -Manifolds Across Irreducible Representations
Yifeng Fan, Tingran Gao, Zhizhen Zhao
We introduce a novel co-learning paradigm for manifolds naturally equipped with a group action, motivated by recent developments on learning a manifold from attached fibre bundle s…