Singh Group @ University of Wisconsin Madison

dual-glow

[ICCV'19] DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer

FrameQuant

LCODEC-deep-unlearning

Code for CVPR22 paper "Deep Unlearning via Randomized Conditionally Independent Hessians"

MeNets

Mixed Effects Neural Networks (MeNets) with Applications to Gaze Estimation

mobiledet-pytorch

PyTorch Implementation of MobileDet (https://arxiv.org/abs/2004.14525v3) backbones.

oinr

Code for ICML 24 paper "Implicit Representations via Operator Learning"

panel_me_ode

A Variational Approximation for Analyzing the Dynamics of Panel Data

Partial_Distance_Correlation

This is the official GitHub for paper: On the Versatile Uses of Partial Distance Correlation in Deep Learning, in ECCV 2022

RECNN

On Training Deep 3D CNN Models with Dependent Samples in Neuroimaging

uncertainty_with_rf

Understanding Uncertainty Maps in Vision with Statistical Testing

vsingh-group/LCODEC-deep-unlearning

Code for CVPR22 paper "Deep Unlearning via Randomized Conditionally Independent Hessians"

vsingh-group/SimpleTM

Official implementation for "SimpleTM: A Simple Baseline For Multivariate Time Series Forcasting" (ICLR 2025)

vsingh-group/FrameQuant

vsingh-group/oinr

Code for ICML 24 paper "Implicit Representations via Operator Learning"

vsingh-group/dual-glow

[ICCV'19] DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer

vsingh-group/Partial_Distance_Correlation

This is the official GitHub for paper: On the Versatile Uses of Partial Distance Correlation in Deep Learning, in ECCV 2022

vsingh-group/kPF-flow

vsingh-group/mobiledet-pytorch

PyTorch Implementation of MobileDet (https://arxiv.org/abs/2004.14525v3) backbones.

vsingh-group/uncertainty_with_rf

Understanding Uncertainty Maps in Vision with Statistical Testing

vsingh-group/DatasetPooling

vsingh-group/mcrepar

Graph Reparameterizations for Enabling 1000+ Monte Carlo Iterations in Bayesian Deep Neural Networks

vsingh-group/panel_me_ode

A Variational Approximation for Analyzing the Dynamics of Panel Data

vsingh-group/crow

vsingh-group/DeepHermites

vsingh-group/Dual_Manifold_GLOW

This is the official webpage of the Flow-based Generative Models for Learning Manifold to Manifold Mappings in AAAI 2021

vsingh-group/f1-opt

vsingh-group/FairALM

vsingh-group/GLapGAN

vsingh-group/ic-loss

PyTorch and Tensorflow implementation of inverse contrastive loss - https://arxiv.org/abs/2102.08343

vsingh-group/ICL

Learning invariant representations using Inverse Contrastive Loss

vsingh-group/im-unpack

vsingh-group/ISBI2020

vsingh-group/nueroqa

vsingh-group/Nystromformer

vsingh-group/Pre-processing-T1-Weighted-MRI-Data

vsingh-group/SPD-SRU

This is the code for the paper Statistical Recurrent Models on Manifold valued Data

vsingh-group/spgru-uai19

vsingh-group/tucker-conv

PyTorch Implementation of Tucker Convolution Layers

vsingh-group/W2MHS

Wisconsin White Matter Hyperintensities Segmentation Toolbox

vsingh-group/YOSO