Vikas Singh

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 149

Top Venues

Publications

Sotirios Panagiotis Chytas, Vishnu Suresh Lokhande, Vikas Singh
Pooling Image Datasets with Multiple Covariate Shift and Imbalance. ICLR (2024)
Vikas Singh
AT-2FF: Adaptive Type-2 Fuzzy Filter for De-noising Images Corrupted with Salt-and-Pepper. CoRR (2024)
Harshavardhan Adepu, Zhanpeng Zeng, Li Zhang, Vikas Singh
FrameQuant: Flexible Low-Bit Quantization for Transformers. CoRR (2024)
Jurijs Nazarovs, Zhichun Huang, Xingjian Zhen, Sourav Pal, Rudrasis Chakraborty, Vikas Singh
Variational Sampling of Temporal Trajectories. CoRR (2024)
Zhanpeng Zeng, Michael Davies, Pranav Pulijala, Karthikeyan Sankaralingam, Vikas Singh
LookupFFN: Making Transformers Compute-lite for CPU inference. CoRR (2024)
Zhanpeng Zeng, Karthikeyan Sankaralingam, Vikas Singh
IM-Unpack: Training and Inference with Arbitrarily Low Precision Integers. CoRR (2024)
Zhanpeng Zeng, Cole Hawkins, Mingyi Hong, Aston Zhang, Nikolaos Pappas, Vikas Singh, Shuai Zheng
Vcc: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens. CoRR (2023)
Ronak Mehta, Jeffery Kline, Vishnu Suresh Lokhande, Glenn Fung, Vikas Singh
Efficient Discrete Multi Marginal Optimal Transport Regularization. ICLR (2023)
Vikas Singh, Neha Singh, Mainak Adhikari
Disease Prediction using Chest X-ray Images in Serverless Data pipeline Framework. CCGridW (2023)
Anna Povzner, Prince Mahajan, Jason Gustafson, Jun Rao, Ismael Juma, Feng Min, Shriram Sridharan, Nikhil Bhatia, Gopi K. Attaluri, Adithya Chandra, Stanislav Kozlovski, Rajini Sivaram, Lucas Bradstreet, Bob Barrett, Dhruvil Shah, David Jacot, David Arthur, Manveer Chawla, Ron Dagostino, Colin Mccabe, Manikumar Reddy Obili, Kowshik Prakasam, Jose Garcia Sancio, Vikas Singh, Alok Nikhil, Kamal Gupta
Kora: A Cloud-Native Event Streaming Platform for Kafka. Proc. VLDB Endow. 16 (12) (2023)
Ronak Mehta, Sathya N. Ravi, Vikas Singh
Robustness and Convergence of Mirror Descent for Blind Deconvolution. ICASSP (2023)
Vikas Singh, Pooja Agrawal, Teena Sharma, Nishchal K. Verma
Improved adaptive type-2 fuzzy filter with exclusively two fuzzy membership function for filtering salt and pepper noise. Multim. Tools Appl. 82 (13) (2023)
Zhanpeng Zeng, Cole Hawkins, Mingyi Hong, Aston Zhang, Nikolaos Pappas, Vikas Singh, Shuai Zheng
VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens. NeurIPS (2023)
Zhanpeng Zeng, Michael Davies, Pranav Pulijala, Karthikeyan Sankaralingam, Vikas Singh
LookupFFN: Making Transformers Compute-lite for CPU inference. ICML (2023)
Vikas Singh, Purushottam Gangsar, Rajkumar Porwal, A. Atulkar
Artificial intelligence application in fault diagnostics of rotating industrial machines: a state-of-the-art review. J. Intell. Manuf. 34 (3) (2023)
Vikas Singh, Vasudev Dehalwar, Jyoti Bharti
Identification of Distributed Denial of Service Attacks Employing L-BFGS Tuning. ICCCNT (2023)
Sourav Pal, Zhanpeng Zeng, Sathya N. Ravi, Vikas Singh
Controlled Differential Equations on Long Sequences via Non-standard Wavelets. ICML (2023)
Tuan Q. Dinh, Yunyang Xiong, Zhichun Huang, Tien Vo, Akshay Mishra, Won Hwa Kim, Sathya N. Ravi, Vikas Singh
Performing Group Difference Testing on Graph Structured Data From GANs: Analysis and Applications in Neuroimaging. IEEE Trans. Pattern Anal. Mach. Intell. 44 (2) (2022)
Zhanpeng Zeng, Sourav Pal, Jeffery Kline, Glenn Moo Fung, Vikas Singh
Multi Resolution Analysis (MRA) for Approximate Self-Attention. CoRR (2022)
Jurijs Nazarovs, Rudrasis Chakraborty, Songwong Tasneeyapant, Sathya N. Ravi, Vikas Singh
Mixed Effects Neural ODE: A Variational Approximation for Analyzing the Dynamics of Panel Data. CoRR (2022)
Zhichun Huang, Rudrasis Chakraborty, Vikas Singh
Forward Operator Estimation in Generative Models with Kernel Transfer Operators. ICML (2022)
Zhanpeng Zeng, Sourav Pal, Jeffery Kline, Glenn Moo Fung, Vikas Singh
Multi Resolution Analysis (MRA) for Approximate Self-Attention. ICML (2022)
Xingjian Zhen, Zihang Meng, Rudrasis Chakraborty, Vikas Singh
On the Versatile Uses of Partial Distance Correlation in Deep Learning. ECCV (26) (2022)
Anita Sinha, Ronak Mehta, Veena A. Nair, Rasmus M. Birn, Vikas Singh, Vivek Prabhakaran
Investigating Functional Brain Network Abnormalities via Differential Covariance Trajectory Analysis and Scan Statistics. ISBI (2022)
Vishnu Suresh Lokhande, Rudrasis Chakraborty, Sathya N. Ravi, Vikas Singh
Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets. CoRR (2022)
Vikas Singh, Shachi Sharma
AHP-PCP: AHP based Probabilistic Consensus Protocol for Probabilistic Knowledge-based Blockchains. ANTS (2022)
Ronak Mehta, Sourav Pal, Vikas Singh, Sathya N. Ravi
Deep Unlearning via Randomized Conditionally Independent Hessians. CVPR (2022)
Jurijs Nazarovs, Ronak R. Mehta, Vishnu Suresh Lokhande, Vikas Singh
Graph Reparameterizations for Enabling 1000+ Monte Carlo Iterations in Bayesian Deep Neural Networks. CoRR (2022)
Vishnu Suresh Lokhande, Rudrasis Chakraborty, Sathya N. Ravi, Vikas Singh
Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets. CVPR (2022)
Jurijs Nazarovs, Zhichun Huang, Songwong Tasneeyapant, Rudrasis Chakraborty, Vikas Singh
Understanding Uncertainty Maps in Vision with Statistical Testing. CVPR (2022)
Xingjian Zhen, Zihang Meng, Rudrasis Chakraborty, Vikas Singh
On the Versatile Uses of Partial Distance Correlation in Deep Learning. CoRR (2022)
Ronak Mehta, Sourav Pal, Vikas Singh, Sathya N. Ravi
Deep Unlearning via Randomized Conditionally Independent Hessians. CoRR (2022)
Zihang Meng, Licheng Yu, Ning Zhang, Tamara L. Berg, Babak Damavandi, Vikas Singh, Amy Bearman
Connecting What to Say With Where to Look by Modeling Human Attention Traces. CoRR (2021)
Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Yongzhe Wang, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, Bo Chen
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators. CVPR (2021)
Jurijs Nazarovs, Ronak R. Mehta, Vishnu Suresh Lokhande, Vikas Singh
Graph reparameterizations for enabling 1000+ Monte Carlo iterations in Bayesian deep neural networks. UAI (2021)
Zhichun Huang, Rudrasis Chakraborty, Vikas Singh
Forward Operator Estimation in Generative Models with Kernel Transfer Operators. CoRR (2021)
Aditya Kumar Akash, Vishnu Suresh Lokhande, Sathya N. Ravi, Vikas Singh
Learning Invariant Representations using Inverse Contrastive Loss. AAAI (2021)
Jurijs Nazarovs, Rudrasis Chakraborty, Songwong Tasneeyapant, Sathya N. Ravi, Vikas Singh
A variational approximation for analyzing the dynamics of panel data. UAI (2021)
Zhanpeng Zeng, Yunyang Xiong, Sathya N. Ravi, Shailesh Acharya, Glenn Moo Fung, Vikas Singh
You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling. ICML (2021)
Zhanpeng Zeng, Yunyang Xiong, Sathya N. Ravi, Shailesh Acharya, Glenn Fung, Vikas Singh
You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling. CoRR (2021)
Zihang Meng, Licheng Yu, Ning Zhang, Tamara L. Berg, Babak Damavandi, Vikas Singh, Amy Bearman
Connecting What To Say With Where To Look by Modeling Human Attention Traces. CVPR (2021)
Zihang Meng, Rudrasis Chakraborty, Vikas Singh
An Online Riemannian PCA for Stochastic Canonical Correlation Analysis. NeurIPS (2021)
Zihang Meng, Vikas Singh, Sathya N. Ravi
Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators. CoRR (2021)
Zihang Meng, Sathya N. Ravi, Vikas Singh
Physarum Powered Differentiable Linear Programming Layers and Applications. AAAI (2021)
Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li, Vikas Singh
Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention. AAAI (2021)
Xingjian Zhen, Rudrasis Chakraborty, Liu Yang, Vikas Singh
Flow-based Generative Models for Learning Manifold to Manifold Mappings. AAAI (2021)
Teja Kanchinadam, Zihang Meng, Joseph Bockhorst, Vikas Singh, Glenn Fung
Graph Neural Networks to Predict Customer Satisfaction Following Interactions with a Corporate Call Center. CoRR (2021)
Nishchal K. Verma, Teena Sharma, Sonal Dixit, Pooja Agrawal, Sourya Sengupta, Vikas Singh
BIDEAL: A Toolbox for Bicluster Analysis - Generation, Visualization and Validation. SN Comput. Sci. 2 (1) (2021)
Zihang Meng, Lopamudra Mukherjee, Yichao Wu, Vikas Singh, Sathya N. Ravi
Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs. NeurIPS (2021)
Zihang Meng, Rudrasis Chakraborty, Vikas Singh
An Online Riemannian PCA for Stochastic Canonical Correlation Analysis. CoRR (2021)
Aditya Kumar Akash, Vishnu Suresh Lokhande, Sathya N. Ravi, Vikas Singh
Learning Invariant Representations using Inverse Contrastive Loss. CoRR (2021)
Seetaram Maurya, Vikas Singh, Nishchal K. Verma, Chris K. Mechefske
Condition-Based Monitoring in Variable Machine Running Conditions Using Low-Level Knowledge Transfer With DNN. IEEE Trans Autom. Sci. Eng. 18 (4) (2021)
Zihang Meng, Vikas Singh, Sathya N. Ravi
Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators. ICCV (2021)
Xingjian Zhen, Rudrasis Chakraborty, Vikas Singh
Simpler Certified Radius Maximization by Propagating Covariances. CoRR (2021)
Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li, Vikas Singh
Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention. CoRR (2021)
Xingjian Zhen, Rudrasis Chakraborty, Vikas Singh
Simpler Certified Radius Maximization by Propagating Covariances. CVPR (2021)
Vishnu Suresh Lokhande, Aditya Kumar Akash, Sathya N. Ravi, Vikas Singh
FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret. CoRR (2020)
Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, Bo Chen
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators. CoRR (2020)
Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh
Online Graph Completion: Multivariate Signal Recovery in Computer Vision. CoRR (2020)
Sathya N. Ravi, Abhay Venkatesh, Glenn Moo Fung, Vikas Singh
Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization Offers Significant Performance and Efficiency Gains. AAAI (2020)
Arun K. Sharma, Dhan Jeet Singh, Vikas Singh, Nishchal K. Verma
Aerodynamic Modeling of ATTAS Aircraft Using Mamdani Fuzzy Inference Network. IEEE Trans. Aerosp. Electron. Syst. 56 (5) (2020)
Vikas Singh, Pooja Agrawal, Teena Sharma, Nishchal K. Verma
Improved Adaptive Type-2 Fuzzy Filter with Exclusively Two Fuzzy Membership Function for Filtering Salt and Pepper Noise. CoRR (2020)
Arthur F. A. Fernandes, Eduardo M. Turra, Érika R. de Alvarenga, Tiago L. Passafaro, Fernando B. Lopes, Gabriel F. O. Alves, Vikas Singh, Guilherme J. M. Rosa
Deep Learning image segmentation for extraction of fish body measurements and prediction of body weight and carcass traits in Nile tilapia. Comput. Electron. Agric. 170 (2020)
Xingjian Zhen, Rudrasis Chakraborty, Liu Yang, Vikas Singh
Flow-based Generative Models for Learning Manifold to Manifold Mappings. CoRR (2020)
Nishchal K. Verma, Teena Sharma, Sonal Dixit, Pooja Agrawal, Sourya Sengupta, Vikas Singh
BIDEAL: A Toolbox for Bicluster Analysis - Generation, Visualization and Validation. CoRR (2020)
Vikas Singh, Homanga Bharadhwaj, Nishchal K. Verma
A Bayesian Approach with Type-2 Student-tMembership Function for T-S Model Identification. CoRR (2020)
Zihang Meng, Sathya N. Ravi, Vikas Singh
Physarum Powered Differentiable Linear Programming Layers and Applications. CoRR (2020)
Wei Hao, Nicholas M. Vogt, Zihang Meng, Seong Jae Hwang, Rebecca L. Koscik, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh
Learning Amyloid Pathology Progression from Longitudinal PIB-PET Images in Preclinical Alzheimer's Disease. ISBI (2020)
Vishnu Suresh Lokhande, Aditya Kumar Akash, Sathya N. Ravi, Vikas Singh
FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret. ECCV (12) (2020)
Vishnu Suresh Lokhande, Songwong Tasneeyapant, Abhay Venkatesh, Sathya N. Ravi, Vikas Singh
Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations. CVPR (2020)
Yunyang Xiong, Hyunwoo J. Kim, Bhargav Tangirala, Ronak Mehta, Sterling C. Johnson, Vikas Singh
On Training Deep 3D CNN Models with Dependent Samples in Neuroimaging. IPMI (2019)
Owen Levin, Zihang Meng, Vikas Singh, Xiaojin Zhu
Fooling Computer Vision into Inferring the Wrong Body Mass Index. CoRR (2019)
Sathya N. Ravi, Abhay Venkatesh, Glenn Moo Fung, Vikas Singh
Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization offers Significant Performance and Efficiency Gains. CoRR (2019)
Xingjian Zhen, Rudrasis Chakraborty, Nicholas Vogt, Barbara B. Bendlin, Vikas Singh
Dilated Convolutional Neural Networks for Sequential Manifold-valued Data. CoRR (2019)
Sathya N. Ravi, Maxwell D. Collins, Vikas Singh
A Deterministic Nonsmooth Frank Wolfe Algorithm with Coreset Guarantees. INFORMS J. Optim. 1 (2) (2019)
Yunyang Xiong, Ronak Mehta, Vikas Singh
Resource Constrained Neural Network Architecture Search. CoRR (2019)
Haoliang Sun, Ronak Mehta, Hao Henry Zhou, Zhichun Huang, Sterling C. Johnson, Vivek Prabhakaran, Vikas Singh
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer. ICCV (2019)
Yunyang Xiong, Hyunwoo J. Kim, Vikas Singh
Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation. CVPR (2019)
Rahul Kumar Sevakula, Vikas Singh, Nishchal K. Verma, Chandan Kumar, Yan Cui
Transfer Learning for Molecular Cancer Classification Using Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (6) (2019)
Vikas Singh, Nishchal K. Verma
An Entropy-based Variable Feature Weighted Fuzzy k-Means Algorithm for High Dimensional Data. CoRR (2019)
Vikas Singh, Nishchal K. Verma
mRMR-DNN with Transfer Learning for IntelligentFault Diagnosis of Rotating Machines. CoRR (2019)
Ronak Mehta, Rudrasis Chakraborty, Vikas Singh, Yunyang Xiong
Scaling Recurrent Models via Orthogonal Approximations in Tensor Trains. ICCV (2019)
Vikas Singh, Teena Sharma, Nishchal K. Verma, Yan Cui
Feature Ranking using Robust Fuzzy Score Function for Gene Expression Data. FUZZ-IEEE (2019)
Teena Sharma, Vikas Singh, Siddharth Sudhakaran, Nishchal K. Verma
Fuzzy based Pooling in Convolutional Neural Network for Image Classification. FUZZ-IEEE (2019)
Seong Jae Hwang, Zirui Tao, Vikas Singh, Won Hwa Kim
Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples With Applications to Neuroimaging. ICCV (2019)
Vishnu Suresh Lokhande, Sathya N. Ravi, Songwong Tasneeyapant, Abhay Venkatesh, Vikas Singh
Generating Accurate Pseudo-labels via Hermite Polynomials for SSL Confidently. CoRR (2019)
Rudrasis Chakraborty, Xingjian Zhen, Nicholas Vogt, Barbara B. Bendlin, Vikas Singh
Dilated Convolutional Neural Networks for Sequential Manifold-Valued Data. ICCV (2019)
Sathya N. Ravi, Tuan Dinh, Vishnu Suresh Lokhande, Vikas Singh
Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence. AAAI (2019)
Haoliang Sun, Ronak Mehta, Hao Henry Zhou, Zhichun Huang, Sterling C. Johnson, Vivek Prabhakaran, Vikas Singh
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer. CoRR (2019)
Yunyang Xiong, Ronak Mehta, Vikas Singh
Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help? ICCV (2019)
Yiyou Sun, Sathya N. Ravi, Vikas Singh
Adaptive Activation Thresholding: Dynamic Routing Type Behavior for Interpretability in Convolutional Neural Networks. ICCV (2019)
Seong Jae Hwang, Nagesh Adluru, Won Hwa Kim, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh
Associations Between Positron Emission Tomography Amyloid Pathology and Diffusion Tensor Imaging Brain Connectivity in Pre-Clinical Alzheimer's Disease. Brain Connect. 9 (2) (2019)
Seong Jae Hwang, Ronak Mehta, Hyunwoo J. Kim, Sterling C. Johnson, Vikas Singh
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging. UAI (2019)
Vikas Singh, Harsh Vardhan, Nishchal K. Verma, Yan Cui
Optimal Feature Selection using Fuzzy Combination of Feature Subset for Transcriptome Data. FUZZ-IEEE (2018)
Vikas Singh, Raghav Dev, Narendra Kumar Dhar, Pooja Agrawal, Nishchal K. Verma
Adaptive Type-2 Fuzzy Approach for Filtering Salt and Pepper Noise in Grayscale Images. IEEE Trans. Fuzzy Syst. 26 (5) (2018)
Gaurav Saraswat, Vikas Singh, Nishchal K. Verma, Al Salour, Jie Liu
Prognosis of Diesel Engine (MBT) Using Feature Extraction Techniques: A Comparative Study. ICPHM (2018)
Zihang Meng, Nagesh Adluru, Hyunwoo J. Kim, Glenn Fung, Vikas Singh
Efficient Relative Attribute Learning Using Graph Neural Networks. ECCV (14) (2018)
Seong Jae Hwang, Ronak Mehta, Vikas Singh
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Exponential Families. CoRR (2018)
Seong Jae Hwang, Zirui Tao, Won Hwa Kim, Vikas Singh
Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples with Applications to Neuroimaging. CoRR (2018)
Sathya N. Ravi, Ronak Mehta, Vikas Singh
Robust Blind Deconvolution via Mirror Descent. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Vikas Singh