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08/29/2023
CAPS: A Practical Partition Index for Filtered Similarity Search
With the surging popularity of approximate near-neighbor search (ANNS), ...
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07/08/2023
StyleGAN3: Generative Networks for Improving the Equivariance of Translation and Rotation
StyleGAN can use style to affect facial posture and identity features, a...
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05/25/2023
Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting
Ensembling is among the most popular tools in machine learning (ML) due ...
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03/13/2023
Fractional dynamics foster deep learning of COPD stage prediction
Chronic obstructive pulmonary disease (COPD) is one of the leading cause...
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03/04/2023
Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations
Coupled partial differential equations (PDEs) are key tasks in modeling ...
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02/21/2023
Learning Physical Models that Can Respect Conservation Laws
Recent work in scientific machine learning (SciML) has focused on incorp...
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12/21/2022
Low-Light Image and Video Enhancement: A Comprehensive Survey and Beyond
This paper presents a comprehensive survey of low-light image and video ...
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12/15/2022
First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting
Transformer-based models have gained large popularity and demonstrated p...
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12/14/2022
Guiding continuous operator learning through Physics-based boundary constraints
Boundary conditions (BCs) are important groups of physics-enforced const...
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11/17/2022
ProtSi: Prototypical Siamese Network with Data Augmentation for Few-Shot Subjective Answer Evaluation
Subjective answer evaluation is a time-consuming and tedious task, and t...
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07/13/2022
PointNorm: Normalization is All You Need for Point Cloud Analysis
Point cloud analysis is challenging due to the irregularity of the point...
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06/28/2022
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE
Recently, introspective models like IntroVAE and S-IntroVAE have excelle...
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04/24/2022
Secure Distributed/Federated Learning: Prediction-Privacy Trade-Off for Multi-Agent System
Decentralized learning is an efficient emerging paradigm for boosting th...
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04/20/2022
Unsupervised Domain Adaptation for Cardiac Segmentation: Towards Structure Mutual Information Maximization
Unsupervised domain adaptation approaches have recently succeeded in var...
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11/17/2021
SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Deraining
Deep learning algorithms have recently achieved promising deraining perf...
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10/03/2021
Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement
Low-light images challenge both human perceptions and computer vision al...
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09/28/2021
Multiwavelet-based Operator Learning for Differential Equations
The solution of a partial differential equation can be obtained by compu...
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07/29/2021
Non-Markovian Reinforcement Learning using Fractional Dynamics
Reinforcement learning (RL) is a technique to learn the control policy f...
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03/17/2021
IRLI: Iterative Re-partitioning for Learning to Index
Neural models have transformed the fundamental information retrieval pro...
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06/25/2020
STORM: Foundations of End-to-End Empirical Risk Minimization on the Edge
Empirical risk minimization is perhaps the most influential idea in stat...
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10/07/2019
RAMBO: Repeated And Merged Bloom Filter for Multiple Set Membership Testing (MSMT) in Sub-linear time
Approximate set membership is a common problem with wide applications in...
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09/27/2019
Learning in Confusion: Batch Active Learning with Noisy Oracle
We study the problem of training machine learning models incrementally u...
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11/02/2018
Learning Latent Fractional dynamics with Unknown Unknowns
Despite significant effort in understanding complex systems (CS), we lac...
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11/02/2018
Data-driven Perception of Neuron Point Process with Unknown Unknowns
Identification of patterns from discrete data time-series for statistica...
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06/17/2018
Approximate Submodular Functions and Performance Guarantees
We consider the problem of maximizing non-negative non-decreasing set fu...
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05/23/2018
Anonymizing k-Facial Attributes via Adversarial Perturbations
A face image not only provides details about the identity of a subject b...
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03/27/2018
Re-thinking EEG-based non-invasive brain interfaces: modeling and analysis
Brain interfaces are cyber-physical systems that aim to harvest informat...
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03/10/2018
Dealing with Unknown Unknowns: Identification and Selection of Minimal Sensing for Fractional Dynamics with Unknown Inputs
This paper focuses on analysis and design of time-varying complex networ...
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06/20/2017
