Singh, Vikas

87 publications

NeurIPS 2025 Composing Linear Layers from Irreducibles Travis Pence, Daisuke Yamada, Vikas Singh

NeurIPS 2025 FoGE: Fock Space Inspired Encoding for Graph Prompting Sotirios Panagiotis Chytas, Rudrasis Chakraborty, Vikas Singh

NeurIPS 2025 PINNs with Learnable Quadrature Sourav Pal, Kamyar Azizzadenesheli, Vikas Singh

ICLR 2025 SimpleTM: A Simple Baseline for Multivariate Time Series Forecasting Hui Chen, Viet Luong, Lopamudra Mukherjee, Vikas Singh

NeurIPS 2025 Single-Step Operator Learning for Conditioned Time-Series Diffusion Models Hui Chen, Vikas Singh

ICML 2024 FrameQuant: Flexible Low-Bit Quantization for Transformers Harshavardhan Adepu, Zhanpeng Zeng, Li Zhang, Vikas Singh

ICMLW 2024 Geometric Algebra Based Encoding for Graph Prompting Sotirios Panagiotis Chytas, Rudrasis Chakraborty, Vikas Singh

ICML 2024 IM-Unpack: Training and Inference with Arbitrarily Low Precision Integers Zhanpeng Zeng, Karthikeyan Sankaralingam, Vikas Singh

ICML 2024 Implicit Representations via Operator Learning Sourav Pal, Harshavardhan Adepu, Clinton Wang, Polina Golland, Vikas Singh

ICLR 2024 Pooling Image Datasets with Multiple Covariate Shift and Imbalance Sotirios Panagiotis Chytas, Vishnu Suresh Lokhande, Vikas Singh

ECCV 2024 Understanding Multi-Compositional Learning in Vision and Language Models via Category Theory Sotirios Panagiotis Chytas, Hyunwoo J Kim, Vikas Singh

ICML 2023 Controlled Differential Equations on Long Sequences via Non-Standard Wavelets Sourav Pal, Zhanpeng Zeng, Sathya N. Ravi, Vikas Singh

ICLR 2023 Efficient Discrete Multi Marginal Optimal Transport Regularization Ronak Mehta, Jeffery Kline, Vishnu Suresh Lokhande, Glenn Fung, Vikas Singh

ICML 2023 LookupFFN: Making Transformers Compute-Lite for CPU Inference Zhanpeng Zeng, Michael Davies, Pranav Pulijala, Karthikeyan Sankaralingam, Vikas Singh

NeurIPS 2023 VCC: Scaling Transformers to 128k Tokens or More by Prioritizing Important Tokens Zhanpeng Zeng, Cole Hawkins, Mingyi Hong, Aston Zhang, Nikolaos Pappas, Vikas Singh, Shuai Zheng

CVPR 2022 Deep Unlearning via Randomized Conditionally Independent Hessians Ronak Mehta, Sourav Pal, Vikas Singh, Sathya N. Ravi

CVPR 2022 Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets Vishnu Suresh Lokhande, Rudrasis Chakraborty, Sathya N. Ravi, Vikas Singh

ICML 2022 Forward Operator Estimation in Generative Models with Kernel Transfer Operators Zhichun Huang, Rudrasis Chakraborty, Vikas Singh

ICML 2022 Multi Resolution Analysis (MRA) for Approximate Self-Attention Zhanpeng Zeng, Sourav Pal, Jeffery Kline, Glenn M Fung, Vikas Singh

ECCV 2022 On the Versatile Uses of Partial Distance Correlation in Deep Learning Xingjian Zhen, Zihang Meng, Rudrasis Chakraborty, Vikas Singh

CVPR 2022 Understanding Uncertainty Maps in Vision with Statistical Testing Jurijs Nazarovs, Zhichun Huang, Songwong Tasneeyapant, Rudrasis Chakraborty, Vikas Singh

UAI 2021 A Variational Approximation for Analyzing the Dynamics of Panel Data Jurijs Nazarovs, Rudrasis Chakraborty, Songwong Tasneeyapant, Sathya Ravi, Vikas Singh

NeurIPS 2021 An Online Riemannian PCA for Stochastic Canonical Correlation Analysis Zihang Meng, Rudrasis Chakraborty, Vikas Singh

CVPR 2021 Connecting What to Say with Where to Look by Modeling Human Attention Traces Zihang Meng, Licheng Yu, Ning Zhang, Tamara L. Berg, Babak Damavandi, Vikas Singh, Amy Bearman

NeurIPS 2021 Differentiable Optimization of Generalized Nondecomposable Functions Using Linear Programs Zihang Meng, Lopamudra Mukherjee, Yichao Wu, Vikas Singh, Sathya Ravi

AAAI 2021 Flow-Based Generative Models for Learning Manifold to Manifold Mappings Xingjian Zhen, Rudrasis Chakraborty, Liu Yang, Vikas Singh

UAI 2021 Graph Reparameterizations for Enabling 1000+ Monte Carlo Iterations in Bayesian Deep Neural Networks Jurijs Nazarovs, Ronak R. Mehta, Vishnu Suresh Lokhande, Vikas Singh

AAAI 2021 Learning Invariant Representations Using Inverse Contrastive Loss Aditya Kumar Akash, Vishnu Suresh Lokhande, Sathya N. Ravi, Vikas Singh

CVPR 2021 MobileDets: Searching for Object Detection Architectures for Mobile Accelerators Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Yongzhe Wang, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, Bo Chen

ICCV 2021 Neural TMDlayer: Modeling Instantaneous Flow of Features via SDE Generators Zihang Meng, Vikas Singh, Sathya N. Ravi

AAAI 2021 Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li, Vikas Singh

AAAI 2021 Physarum Powered Differentiable Linear Programming Layers and Applications Zihang Meng, Sathya N. Ravi, Vikas Singh

CVPR 2021 Simpler Certified Radius Maximization by Propagating Covariances Xingjian Zhen, Rudrasis Chakraborty, Vikas Singh

ICML 2021 You Only Sample (Almost) Once: Linear Cost Self-Attention via Bernoulli Sampling Zhanpeng Zeng, Yunyang Xiong, Sathya Ravi, Shailesh Acharya, Glenn M Fung, Vikas Singh

ECCV 2020 FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret Vishnu Suresh Lokhande, Aditya Kumar Akash, Sathya N. Ravi, Vikas Singh

AAAI 2020 Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization Offers Significant Performance and Efficiency Gains Sathya N. Ravi, Abhay Venkatesh, Glenn Moo Fung, Vikas Singh

NeurIPSW 2020 Simplicial 2-Complex Convolutional Neural Networks Eric Bunch, Qian You, Glenn Fung, Vikas Singh

AAAI 2019 Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence Sathya N. Ravi, Tuan Dinh, Vishnu Suresh Lokhande, Vikas Singh

UAI 2019 Sampling-Free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging Seong Jae Hwang, Ronak R. Mehta, Hyunwoo J. Kim, Sterling C. Johnson, Vikas Singh

NeurIPS 2018 A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices Rudrasis Chakraborty, Chun-Hao Yang, Xingjian Zhen, Monami Banerjee, Derek Archer, David Vaillancourt, Vikas Singh, Baba Vemuri

ECCV 2018 Efficient Relative Attribute Learning Using Graph Neural Networks Zihang Meng, Nagesh Adluru, Hyunwoo J. Kim, Glenn Fung, Vikas Singh

ICCV 2017 A Geometric Framework for Statistical Analysis of Trajectories with Distinct Temporal Spans Rudrasis Chakraborty, Vikas Singh, Nagesh Adluru, Baba C. Vemuri

CVPR 2017 Filter Flow Made Practical: Massively Parallel and Lock-Free Sathya N. Ravi, Yunyang Xiong, Lopamudra Mukherjee, Vikas Singh

CVPR 2017 Online Graph Completion: Multivariate Signal Recovery in Computer Vision Won Hwa Kim, Mona Jalal, Seongjae Hwang, Sterling C. Johnson, Vikas Singh

CVPR 2017 Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging Hyunwoo J. Kim, Nagesh Adluru, Heemanshu Suri, Baba C. Vemuri, Sterling C. Johnson, Vikas Singh

CVPRW 2017 Riemannian Variance Filtering: An Independent Filtering Scheme for Statistical Tests on Manifold-Valued Data Ligang Zheng, Hyunwoo J. Kim, Nagesh Adluru, Michael A. Newton, Vikas Singh

CVPR 2017 The Incremental Multiresolution Matrix Factorization Algorithm Vamsi K. Ithapu, Risi Kondor, Sterling C. Johnson, Vikas Singh

ICML 2017 When Can Multi-Site Datasets Be Pooled for Regression? Hypothesis Tests, $\ell_2$-Consistency and Neuroscience Applications Hao Henry Zhou, Yilin Zhang, Vamsi K. Ithapu, Sterling C. Johnson, Grace Wahba, Vikas Singh

ECCV 2016 Abundant Inverse Regression Using Sufficient Reduction and Its Applications Hyunwoo J. Kim, Brandon M. Smith, Nagesh Adluru, Charles R. Dyer, Sterling C. Johnson, Vikas Singh

ECCV 2016 Adaptive Signal Recovery on Graphs via Harmonic Analysis for Experimental Design in Neuroimaging Won Hwa Kim, Seong Jae Hwang, Nagesh Adluru, Sterling C. Johnson, Vikas Singh

CVPR 2016 Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks Seong Jae Hwang, Nagesh Adluru, Maxwell D. Collins, Sathya N. Ravi, Barbara B. Bendlin, Sterling C. Johnson, Vikas Singh

ICML 2016 Experimental Design on a Budget for Sparse Linear Models and Applications Sathya Narayanan Ravi, Vamsi Ithapu, Sterling Johnson, Vikas Singh

NeurIPS 2016 Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease Hao Zhou, Vamsi K Ithapu, Sathya Narayanan Ravi, Vikas Singh, Grace Wahba, Sterling C Johnson

CVPR 2016 Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP) Won Hwa Kim, Hyunwoo J. Kim, Nagesh Adluru, Vikas Singh

ECCV 2016 Network Flow Formulations for Learning Binary Hashing Lopamudra Mukherjee, Jiming Peng, Trevor Sigmund, Vikas Singh

ICCV 2015 A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer Seong Jae Hwang, Maxwell D. Collins, Sathya N. Ravi, Vamsi K. Ithapu, Nagesh Adluru, Sterling C. Johnson, Vikas Singh

ICCV 2015 An NMF Perspective on Binary Hashing Lopamudra Mukherjee, Sathya N. Ravi, Vamsi K. Ithapu, Tyler Holmes, Vikas Singh

CVPR 2015 Gaze-Enabled Egocentric Video Summarization via Constrained Submodular Maximization Jia Xu, Lopamudra Mukherjee, Yin Li, Jamieson Warner, James M. Rehg, Vikas Singh

ICCV 2015 Interpolation on the Manifold of K Component GMMs Hyunwoo J. Kim, Nagesh Adluru, Monami Banerjee, Baba C. Vemuri, Vikas Singh

ICML 2015 Manifold-Valued Dirichlet Processes Hyunwoo Kim, Jia Xu, Baba Vemuri, Vikas Singh

ICCV 2015 On Statistical Analysis of Neuroimages with Imperfect Registration Won Hwa Kim, Sathya N. Ravi, Sterling C. Johnson, Ozioma C. Okonkwo, Vikas Singh

JMLR 2015 SnFFT: A Julia Toolkit for Fourier Analysis of Functions over Permutations Gregory Plumb, Deepti Pachauri, Risi Kondor, Vikas Singh

CVPR 2015 Statistical Inference Models for Image Datasets with Systematic Variations Won Hwa Kim, Barbara B. Bendlin, Moo K. Chung, Sterling C. Johnson, Vikas Singh

ECCV 2014 Canonical Correlation Analysis on Riemannian Manifolds and Its Applications Hyunwoo J. Kim, Nagesh Adluru, Barbara B. Bendlin, Sterling C. Johnson, Baba C. Vemuri, Vikas Singh

CVPR 2014 Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images Hyunwoo J. Kim, Nagesh Adluru, Maxwell D. Collins, Moo K. Chung, Barbara B. Bendlin, Sterling C. Johnson, Richard J. Davidson, Vikas Singh

NeurIPS 2014 Permutation Diffusion Maps (PDM) with Application to the Image Association Problem in Computer Vision Deepti Pachauri, Risi Kondor, Gautam Sargur, Vikas Singh

ECCV 2014 Spectral Clustering with a Convex Regularizer on Millions of Images Maxwell D. Collins, Ji Liu, Jia Xu, Lopamudra Mukherjee, Vikas Singh

ICCV 2013 GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity Jia Xu, Vamsi K. Ithapu, Lopamudra Mukherjee, James M. Rehg, Vikas Singh

CVPR 2013 Incorporating User Interaction and Topological Constraints Within Contour Completion via Discrete Calculus Jia Xu, Maxwell D. Collins, Vikas Singh

CVPR 2013 Multi-Resolution Shape Analysis via Non-Euclidean Wavelets: Applications to Mesh Segmentation and Surface Alignment Problems Won Hwa Kim, Moo K. Chung, Vikas Singh

NeurIPS 2013 Solving the Multi-Way Matching Problem by Permutation Synchronization Deepti Pachauri, Risi Kondor, Vikas Singh

NeurIPS 2013 Speeding up Permutation Testing in Neuroimaging Chris Hinrichs, Vamsi K Ithapu, Qinyuan Sun, Sterling C Johnson, Vikas Singh

ECCV 2012 Analyzing the Subspace Structure of Related Images: Concurrent Segmentation of Image Sets Lopamudra Mukherjee, Vikas Singh, Jia Xu, Maxwell D. Collins

ICML 2012 Incorporating Domain Knowledge in Matching Problems via Harmonic Analysis Deepti Pachauri, Maxwell D. Collins, Vikas Singh

NeurIPS 2012 Q-MKL: Matrix-Induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging Chris Hinrichs, Vikas Singh, Jiming Peng, Sterling Johnson

CVPR 2012 Random Walks Based Multi-Image Segmentation: Quasiconvexity Results and GPU-Based Solutions Maxwell D. Collins, Jia Xu, Leo J. Grady, Vikas Singh

NeurIPS 2012 Wavelet Based Multi-Scale Shape Features on Arbitrary Surfaces for Cortical Thickness Discrimination Won H. Kim, Deepti Pachauri, Charles Hatt, Moo. K. Chung, Sterling Johnson, Vikas Singh

CVPR 2011 Scale Invariant Cosegmentation for Image Groups Lopamudra Mukherjee, Vikas Singh, Jiming Peng

MLJ 2010 Ensemble Clustering Using Semidefinite Programming with Applications Vikas Singh, Lopamudra Mukherjee, Jiming Peng, Jinhui Xu

NeurIPS 2010 Epitome Driven 3-D Diffusion Tensor Image Segmentation: On Extracting Specific Structures Kamiya Motwani, Nagesh Adluru, Chris Hinrichs, Andrew Alexander, Vikas Singh

CVPR 2010 Learning Kernels for Variants of Normalized Cuts: Convex Relaxations and Applications Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Chris Hinrichs

ICCV 2009 An Efficient Algorithm for Co-Segmentation Dorit S. Hochbaum, Vikas Singh

CVPR 2009 Half-Integrality Based Algorithms for Cosegmentation of Images Lopamudra Mukherjee, Vikas Singh, Charles R. Dyer

ICCV 2009 Label Set Perturbation for MRF Based Neuroimaging Segmentation Dylan Hower, Vikas Singh, Sterling C. Johnson

NeurIPS 2007 Ensemble Clustering Using Semidefinite Programming Vikas Singh, Lopamudra Mukherjee, Jiming Peng, Jinhui Xu

ICCV 2007 Generalized Median Graphs: Theory and Applications Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Jinhui Xu, Michael J. Zeitz, Ronald Berezney

ICCV 2007 Limited View CT Reconstruction via Constrained Metric Labeling Vikas Singh, Petru M. Dinu, Lopamudra Mukherjee, Jinhui Xu, Kenneth R. Hoffmann