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Vikas Singh

74 papers · 2007–2025 · 9 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (25) 🐝 Cross-Pollinator (10) πŸƒ Academic Marathon (18) 🌍 Conference Polyglot (9) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (5) 🏠 Conference Loyalist (21) 🧬 Topic Evolution 🀝 Dynamic Duo (18) πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (15) πŸ† Keyword Champion πŸ”₯ Unstoppable (14) ⚑ Prolific Year (9) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (67) πŸš€ Conference Pioneer πŸ’Ž Century Club (74) ❓ The Questioner (2)

Conferences

CVPR (21) ICCV (13) NIPS (12) ICML (11) AAAI (6) ECCV (4) ICLR (3) UAI (3) JMLR (1)

Top co-authors

Sathya N. Ravi (18) Rudrasis Chakraborty (13) Sterling C. Johnson (11) Nagesh Adluru (9) Zhanpeng Zeng (8) Vishnu Suresh Lokhande (8) Lopamudra Mukherjee (8) Hyunwoo J. Kim (8) Yunyang Xiong (7) Zihang Meng (7)

Research topics

Models (1) Statistics (1)

Keywords

brain imaging (8) riemannian manifold (5) harmonic analysis (4) manifold-valued datum (4) domain adaptation (4) longitudinal analysis (4) deep neural network (4) efficient computing (4) hypothesis testing (4) statistical testing (3) wavelet transform (3) alzheimer disease (3) medical imaging (3) wavelet analysis (3) linear programming (2) monte carlo sampling (2) image segmentation (2) matrix completion (2) statistical inference (2) neural architecture search (2)

Papers

SimpleTM: A Simple Baseline for Multivariate Time Series Forecasting ICLR 2025
Understanding Multi-compositional learning in Vision and Language models via Category Theory ECCV 2024
Pooling Image Datasets with Multiple Covariate Shift and Imbalance ICLR 2024
FrameQuant: Flexible Low-Bit Quantization for Transformers ICML 2024
IM-Unpack: Training and Inference with Arbitrarily Low Precision Integers ICML 2024
Implicit Representations via Operator Learning ICML 2024
Efficient Discrete Multi Marginal Optimal Transport Regularization ICLR 2023
VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens NIPS 2023
LookupFFN: Making Transformers Compute-lite for CPU inference ICML 2023
Controlled Differential Equations on Long Sequences via Non-standard Wavelets ICML 2023
Deep Unlearning via Randomized Conditionally Independent Hessians CVPR 2022
Multi Resolution Analysis (MRA) for Approximate Self-Attention ICML 2022
Forward Operator Estimation in Generative Models with Kernel Transfer Operators ICML 2022
Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets CVPR 2022
Understanding Uncertainty Maps in Vision With Statistical Testing CVPR 2022
On the Versatile Uses of Partial Distance Correlation in Deep Learning ECCV 2022
Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs NIPS 2021
An Online Riemannian PCA for Stochastic Canonical Correlation Analysis NIPS 2021
Learning Invariant Representations using Inverse Contrastive Loss AAAI 2021
Physarum Powered Differentiable Linear Programming Layers and Applications AAAI 2021
Flow-based Generative Models for Learning Manifold to Manifold Mappings AAAI 2021
NystrΓΆmformer: A NystrΓΆm-based Algorithm for Approximating Self-Attention AAAI 2021
You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling ICML 2021
Graph reparameterizations for enabling 1000+ Monte Carlo iterations in Bayesian deep neural networks UAI 2021
A variational approximation for analyzing the dynamics of panel data UAI 2021
Neural TMDlayer: Modeling Instantaneous Flow of Features via SDE Generators ICCV 2021
Connecting What To Say With Where To Look by Modeling Human Attention Traces CVPR 2021
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators CVPR 2021
Simpler Certified Radius Maximization by Propagating Covariances CVPR 2021
FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret ECCV 2020
Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization Offers Significant Performance and Efficiency Gains AAAI 2020
Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations CVPR 2020
Scaling Recurrent Models via Orthogonal Approximations in Tensor Trains ICCV 2019
Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples With Applications to Neuroimaging ICCV 2019
Dilated Convolutional Neural Networks for Sequential Manifold-Valued Data ICCV 2019
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer ICCV 2019
Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation CVPR 2019
Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help? ICCV 2019
Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence AAAI 2019
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging UAI 2019
Adaptive Activation Thresholding: Dynamic Routing Type Behavior for Interpretability in Convolutional Neural Networks ICCV 2019
A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices NIPS 2018
A Biresolution Spectral Framework for Product Quantization CVPR 2018
Tensorize, Factorize and Regularize: Robust Visual Relationship Learning CVPR 2018
Efficient Relative Attribute Learning using Graph Neural Networks ECCV 2018
Online Graph Completion: Multivariate Signal Recovery in Computer Vision CVPR 2017
Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging CVPR 2017
The Incremental Multiresolution Matrix Factorization Algorithm CVPR 2017
Filter Flow Made Practical: Massively Parallel and Lock-Free CVPR 2017
A Geometric Framework for Statistical Analysis of Trajectories With Distinct Temporal Spans ICCV 2017
When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, $\ell_2$-consistency and Neuroscience Applications ICML 2017
Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks CVPR 2016
Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP) CVPR 2016
Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease NIPS 2016
Experimental Design on a Budget for Sparse Linear Models and Applications ICML 2016
Manifold-valued Dirichlet Processes ICML 2015
An NMF Perspective on Binary Hashing ICCV 2015
A Projection Free Method for Generalized Eigenvalue Problem With a Nonsmooth Regularizer ICCV 2015
On Statistical Analysis of Neuroimages With Imperfect Registration ICCV 2015
Statistical Inference Models for Image Datasets With Systematic Variations CVPR 2015
Gaze-Enabled Egocentric Video Summarization via Constrained Submodular Maximization CVPR 2015
SnFFT: A Julia Toolkit for Fourier Analysis of Functions over Permutations JMLR 2015
Interpolation on the Manifold of K Component GMMs ICCV 2015
Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images CVPR 2014
Permutation Diffusion Maps (PDM) with Application to the Image Association Problem in Computer Vision NIPS 2014
Incorporating User Interaction and Topological Constraints within Contour Completion via Discrete Calculus CVPR 2013
GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity ICCV 2013
Solving the multi-way matching problem by permutation synchronization NIPS 2013
Speeding up Permutation Testing in Neuroimaging NIPS 2013
Multi-resolution Shape Analysis via Non-Euclidean Wavelets: Applications to Mesh Segmentation and Surface Alignment Problems CVPR 2013
Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination NIPS 2012
Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging NIPS 2012
Epitome driven 3-D Diffusion Tensor image segmentation: on extracting specific structures NIPS 2010
Ensemble Clustering using Semidefinite Programming NIPS 2007