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06/18/2023
Convolutional GRU Network for Seasonal Prediction of the El Niño-Southern Oscillation
Predicting sea surface temperature (SST) within the El Niño-Southern Osc...
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12/09/2022
FAIR AI Models in High Energy Physics
The findable, accessible, interoperable, and reusable (FAIR) data princi...
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09/30/2022
FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective
A foundational set of findable, accessible, interoperable, and reusable ...
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07/28/2022
Initialization and Alignment for Adversarial Texture Optimization
While recovery of geometry from image and video data has received a lot ...
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07/06/2022
Orthogonal Matrix Retrieval with Spatial Consensus for 3D Unknown-View Tomography
Unknown-view tomography (UVT) reconstructs a 3D density map from its 2D ...
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06/16/2022
Multi-Frequency Joint Community Detection and Phase Synchronization
This paper studies the joint community detection and phase synchronizati...
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12/25/2021
A Spectral Method for Joint Community Detection and Orthogonal Group Synchronization
Community detection and orthogonal group synchronization are both fundam...
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08/23/2021
An Adversarial Learning Based Approach for Unknown View Tomographic Reconstruction
The goal of 2D tomographic reconstruction is to recover an image given i...
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08/04/2021
Spacetime Neural Network for High Dimensional Quantum Dynamics
We develop a spacetime neural network method with second order optimizat...
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05/13/2021
Advances in Machine and Deep Learning for Modeling and Real-time Detection of Multi-Messenger Sources
We live in momentous times. The science community is empowered with an a...
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05/13/2021
DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization
The recent growth of web video sharing platforms has increased the deman...
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05/13/2021
Joint Community Detection and Rotational Synchronization via Semidefinite Programming
In the presence of heterogeneous data, where randomly rotated objects fa...
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02/19/2021
Spatial-temporal switching estimators for imaging locally concentrated dynamics
The evolution of images with physics-based dynamics is often spatially l...
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02/09/2021
UVTomo-GAN: An adversarial learning based approach for unknown view X-ray tomographic reconstruction
Tomographic reconstruction recovers an unknown image given its projectio...
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01/18/2021
Gauge Invariant Autoregressive Neural Networks for Quantum Lattice Models
Gauge invariance plays a crucial role in quantum mechanics from condense...
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12/10/2020
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations
This paper studies the adversarial graphical contextual bandits, a varia...
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12/09/2020
Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem
Aiming at convex optimization under structural constraints, this work in...
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12/16/2019
Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms
Heart disease is the leading cause of death worldwide. Amongst patients ...
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11/26/2019
Enabling real-time multi-messenger astrophysics discoveries with deep learning
Multi-messenger astrophysics is a fast-growing, interdisciplinary field ...
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09/12/2019
Be Aware of Non-Stationarity: Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits
Cascading bandit (CB) is a variant of both the multi-armed bandit (MAB) ...
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06/06/2019
Unsupervised Co-Learning on G-Manifolds Across Irreducible Representations
We introduce a novel co-learning paradigm for manifolds naturally equipp...
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06/06/2019
Multi-Frequency Vector Diffusion Maps
We introduce multi-frequency vector diffusion maps (MFVDM), a new framew...
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05/31/2019
Representation Theoretic Patterns in Multi-Frequency Class Averaging for Three-Dimensional Cryo-Electron Microscopy
We develop in this paper a novel intrinsic classification algorithm -- m...
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04/16/2019
Cryo-Electron Microscopy Image Analysis Using Multi-Frequency Vector Diffusion Maps
Cryo-electron microscopy (EM) single particle reconstruction is an entir...
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04/11/2019
Max-Sliced Wasserstein Distance and its use for GANs
Generative adversarial nets (GANs) and variational auto-encoders have si...
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03/06/2019
Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-Encoders
Denoising of time domain data is a crucial task for many applications su...
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03/05/2019
Deep Learning at Scale for Gravitational Wave Parameter Estimation of Binary Black Hole Mergers
We present the first application of deep learning at scale to do gravita...
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02/01/2019
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era
This report provides an overview of recent work that harnesses the Big D...
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01/24/2019
Multi-Frequency Phase Synchronization
We propose a novel formulation for phase synchronization -- the statisti...
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01/06/2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
We propose the Lanczos network (LanczosNet), which uses the Lanczos algo...
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12/20/2018
Steerable ePCA
In photon-limited imaging, the pixel intensities are affected by photon ...
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05/07/2018
Real-time regression analysis with deep convolutional neural networks
We discuss the development of novel deep learning algorithms to enable r...
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11/27/2017
Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders
Gravitational wave astronomy is a rapidly growing field of modern astrop...
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11/10/2016
Mahalanobis Distance for Class Averaging of Cryo-EM Images
Single particle reconstruction (SPR) from cryo-electron microscopy (EM) ...
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12/02/2014
Fast Steerable Principal Component Analysis
Cryo-electron microscopy nowadays often requires the analysis of hundred...
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09/29/2013
Rotationally Invariant Image Representation for Viewing Direction Classification in Cryo-EM
We introduce a new rotationally invariant viewing angle classification m...
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11/08/2012