b'Gaurav Gupta'

research

∙ 08/29/2023

CAPS: A Practical Partition Index for Filtered Similarity Search

With the surging popularity of approximate near-neighbor search (ANNS), ...

0 Gaurav Gupta, et al. ∙

research

∙ 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...

0 Tianlei Zhu, et al. ∙

research

∙ 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 ...

0 Hilaf Hasson, et al. ∙

research

∙ 03/13/2023

Fractional dynamics foster deep learning of COPD stage prediction

Chronic obstructive pulmonary disease (COPD) is one of the leading cause...

0 Chenzhong Yin, et al. ∙

research

∙ 03/04/2023

Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations

Coupled partial differential equations (PDEs) are key tasks in modeling ...

0 Xiongye Xiao, et al. ∙

research

∙ 02/21/2023

Learning Physical Models that Can Respect Conservation Laws

Recent work in scientific machine learning (SciML) has focused on incorp...

0 Derek Hansen, et al. ∙

research

∙ 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 ...

0 Shen Zheng, et al. ∙

research

∙ 12/15/2022

First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting

Transformer-based models have gained large popularity and demonstrated p...

0 Xiyuan Zhang, et al. ∙

research

∙ 12/14/2022

Guiding continuous operator learning through Physics-based boundary constraints

Boundary conditions (BCs) are important groups of physics-enforced const...

0 Nadim Saad, et al. ∙

research

∙ 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...

0 Yining Lu, et al. ∙

research

∙ 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...

0 Shen Zheng, et al. ∙

research

∙ 06/28/2022

AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE

Recently, introspective models like IntroVAE and S-IntroVAE have excelle...

0 Changjie Lu, et al. ∙

research

∙ 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...

0 Mohamed Ridha Znaidi, et al. ∙

research

∙ 04/20/2022

Unsupervised Domain Adaptation for Cardiac Segmentation: Towards Structure Mutual Information Maximization

Unsupervised domain adaptation approaches have recently succeeded in var...

7 Changjie Lu, et al. ∙

research

∙ 11/17/2021

SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Deraining

Deep learning algorithms have recently achieved promising deraining perf...

9 Shen Zheng, et al. ∙

research

∙ 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...

8 Shen Zheng, et al. ∙

research

∙ 09/28/2021

Multiwavelet-based Operator Learning for Differential Equations

The solution of a partial differential equation can be obtained by compu...

8 Gaurav Gupta, et al. ∙

research

∙ 07/29/2021

Non-Markovian Reinforcement Learning using Fractional Dynamics

Reinforcement learning (RL) is a technique to learn the control policy f...

0 Gaurav Gupta, et al. ∙

research

∙ 03/17/2021

IRLI: Iterative Re-partitioning for Learning to Index

Neural models have transformed the fundamental information retrieval pro...

8 Gaurav Gupta, et al. ∙

research

∙ 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...

6 Benjamin Coleman, et al. ∙

research

∙ 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...

0 Gaurav Gupta, et al. ∙

research

∙ 09/27/2019

Learning in Confusion: Batch Active Learning with Noisy Oracle

We study the problem of training machine learning models incrementally u...

0 Gaurav Gupta, et al. ∙

research

∙ 11/02/2018

Learning Latent Fractional dynamics with Unknown Unknowns

Despite significant effort in understanding complex systems (CS), we lac...

0 Gaurav Gupta, et al. ∙

research

∙ 11/02/2018

Data-driven Perception of Neuron Point Process with Unknown Unknowns

Identification of patterns from discrete data time-series for statistica...

0 Ruochen Yang, et al. ∙

research

∙ 06/17/2018

Approximate Submodular Functions and Performance Guarantees

We consider the problem of maximizing non-negative non-decreasing set fu...

0 Gaurav Gupta, et al. ∙

research

∙ 05/23/2018

Anonymizing k-Facial Attributes via Adversarial Perturbations

A face image not only provides details about the identity of a subject b...

0 Saheb Chhabra, et al. ∙

research

∙ 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...

0 Gaurav Gupta, et al. ∙

research

∙ 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...

0 Gaurav Gupta, et al. ∙

research

∙ 06/20/2017

Passive Classification of Source Printer using Text-line-level Geometric Distortion Signatures from Scanned Images of Printed Documents

In this digital era, one thing that still holds the convention is a prin...

0 Hardik Jain, et al. ∙

Gaurav Gupta

Featured Co-authors