Venkatesh C. Saligrama
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Why Is Venkatesh C. Saligrama Influential?
(Suggest an Edit or Addition)Venkatesh C. Saligrama's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016) (2027)
- Zero-Shot Learning via Semantic Similarity Embedding (2015) (559)
- Zero-Shot Learning via Joint Latent Similarity Embedding (2015) (340)
- Video anomaly detection based on local statistical aggregates (2012) (294)
- Boolean Compressed Sensing and Noisy Group Testing (2009) (260)
- Abnormal events detection based on spatio-temporal co-occurences (2009) (237)
- Federated Learning Based on Dynamic Regularization (2021) (230)
- Adaptive Neural Networks for Efficient Inference (2017) (220)
- Information Theoretic Bounds for Compressed Sensing (2008) (168)
- Distributed Detection in Sensor Networks With Packet Losses and Finite Capacity Links (2006) (151)
- Foreground-Adaptive Background Subtraction (2009) (149)
- Non-adaptive group testing: Explicit bounds and novel algorithms (2012) (137)
- Non-adaptive probabilistic group testing with noisy measurements: Near-optimal bounds with efficient algorithms (2011) (129)
- Anomaly Detection with Score functions based on Nearest Neighbor Graphs (2009) (116)
- Video Anomaly Identification (2010) (108)
- Prediction of hospitalization due to heart diseases by supervised learning methods (2015) (107)
- Wireless Ad Hoc Networks: Strategies and Scaling Laws for the Fixed SNR Regime (2006) (106)
- Efficient Training of Very Deep Neural Networks for Supervised Hashing (2015) (103)
- Supervised Sequential Classification Under Budget Constraints (2013) (98)
- Graph-Constrained Group Testing (2010) (96)
- Experimental realization of long-distance entanglement between spins in antiferromagnetic quantum spin chains (2015) (92)
- Zero-Shot Recognition via Structured Prediction (2016) (92)
- Zero Shot Detection (2018) (81)
- Unique contributions of parvalbumin and cholinergic interneurons in organizing striatal networks during movement (2019) (76)
- Pruning Random Forests for Prediction on a Budget (2016) (70)
- Generalized Zero-Shot Recognition Based on Visually Semantic Embedding (2018) (69)
- Abnormality detection using low-level co-occurring events (2011) (64)
- Spectrum Enforcement and Liability Assignment in Cognitive Radio Systems (2008) (63)
- Efficient Sensor Management Policies for Distributed Target Tracking in Multihop Sensor Networks (2008) (61)
- Don’t Even Look Once: Synthesizing Features for Zero-Shot Detection (2019) (56)
- Sparse signal processing with linear and non-linear observations: A unified shannon theoretic approach (2013) (55)
- Feature-Budgeted Random Forest (2015) (54)
- Stem surface roughness alters creep induced subsidence and 'taper-lock' in a cemented femoral hip prosthesis. (2001) (53)
- Topic Discovery through Data Dependent and Random Projections (2013) (52)
- Adaptive Classification for Prediction Under a Budget (2017) (52)
- Crime and Punishment for Cognitive Radios (2008) (51)
- A Novel Visual Word Co-occurrence Model for Person Re-identification (2014) (51)
- Quantifying and Reducing Stereotypes in Word Embeddings (2016) (49)
- Local Supervised Learning through Space Partitioning (2012) (47)
- Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction (2015) (47)
- Distributed Tracking in Multihop Sensor Networks With Communication Delays (2007) (46)
- Adaptive Neural Networks for Fast Test-Time Prediction (2017) (46)
- Activity Based Matching in Distributed Camera Networks (2010) (45)
- Modeling background activity for behavior subtraction (2008) (44)
- Behavior Subtraction (2009) (43)
- Motion segmentation and abnormal behavior detection via behavior clustering (2008) (42)
- Multi-stage classifier design (2012) (40)
- Group Membership Prediction (2015) (38)
- RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? (2019) (37)
- An LP for Sequential Learning Under Budgets (2014) (36)
- Sequential Optimization for Efficient High-Quality Object Proposal Generation (2015) (33)
- Adaptive statistical sampling methods for decentralized estimation and detection of localized phenomena (2005) (32)
- Deterministic Designs with Deterministic Guarantees: Toeplitz Compressed Sensing Matrices, Sequence Designs and System Identification (2008) (32)
- Abnormal behavior detection and behavior matching for networked cameras (2008) (32)
- Reliable Distributed Estimation with Intermittent Communications (2006) (32)
- Model Selection by Linear Programming (2014) (31)
- Local Anomaly Detection (2012) (30)
- Thresholded Basis Pursuit: LP Algorithm for Order-Wise Optimal Support Recovery for Sparse and Approximately Sparse Signals From Noisy Random Measurements (2011) (29)
- A new one-class SVM for anomaly detection (2013) (29)
- Distributed Detection in Sensor Networks With Limited Range Multimodal Sensors (2007) (29)
- Connected Sub-graph Detection (2014) (29)
- Cheap Bandits (2015) (28)
- Thresholded Basis Pursuit: Quantizing Linear Programming Solutions for Optimal Support Recovery and Approximation in Compressed Sensing (2008) (27)
- PRISM: Person Reidentification via Structured Matching (2014) (26)
- Modal Participation Analysis for Identifying Brake Squeal Mechanism (2000) (25)
- Motion detection with an unstable camera (2008) (23)
- BING++: A Fast High Quality Object Proposal Generator at 100fps (2015) (22)
- Retrieval in Long-Surveillance Videos Using User-Described Motion and Object Attributes (2014) (22)
- Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers (2018) (22)
- A Random-Walk Model for Distributed Computation in Energy-Limited Networks (2006) (22)
- Debiasing Model Updates for Improving Personalized Federated Training (2021) (22)
- On sensing capacity of sensor networks for the class of linear observation, fixed SNR models (2007) (22)
- A Topic Modeling Approach to Ranking (2014) (21)
- Detection and Localization in Sensor Networks Using Distributed FDR (2006) (21)
- A technical framework for light- handed regulation of cognitive radios (2009) (21)
- Learning Joint Feature Adaptation for Zero-Shot Recognition (2016) (20)
- Efficient Distributed Topic Modeling with Provable Guarantees (2014) (19)
- Efficient Minimax Signal Detection on Graphs (2014) (18)
- Stochastic threshold group testing (2013) (17)
- Axisymmetric finite element analysis of a debonded total hip stem with an unsupported distal tip. (1993) (17)
- Robust Energy Efficient Cooperative Spectrum Sensing in Cognitive Radios (2007) (17)
- Fast margin-based cost-sensitive classification (2014) (17)
- On sensing capacity of sensor networks for a class of linear observation models (2007) (17)
- Broadband Dispersion Extraction Using Simultaneous Sparse Penalization (2011) (16)
- Remember the curse of dimensionality: the case of goodness-of-fit testing in arbitrary dimension (2016) (16)
- Efficient Activity Retrieval through Semantic Graph Queries (2015) (16)
- Distributed tracking in multi-hop networks with communication delays and packet losses (2005) (16)
- Information theoretic bounds to sensing capacity of sensor networks under fixed SNR (2007) (16)
- Minimax Optimal Sparse Signal Recovery With Poisson Statistics (2015) (15)
- Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency (2021) (15)
- Noisy group testing: An information theoretic perspective (2009) (15)
- Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices (2019) (15)
- Fundamental Limits on Sensing Capacity for Sensor Networks and Compressed Sensing (2008) (15)
- A Mutual Information Characterization for Sparse Signal Processing (2011) (15)
- Clustering and Community Detection With Imbalanced Clusters (2016) (14)
- Necessary and Sufficient Conditions for Novel Word Detection in Separable Topic Models (2013) (14)
- Structural similarity and distance in learning (2011) (14)
- Comments on the Proof of Adaptive Stochastic Set Cover Based on Adaptive Submodularity and Its Implications for the Group Identification Problem in “Group-Based Active Query Selection for Rapid Diagnosis in Time-Critical Situations” (2017) (13)
- Most large topic models are approximately separable (2015) (13)
- One-Bit Distributed Sensing and Coding for Field Estimation in Sensor Networks (2007) (13)
- Learning Mixed Membership Mallows Models from Pairwise Comparisons (2015) (13)
- Classification in sensor networks (2004) (12)
- Energy-Efficient Adaptive Classifier Design for Mobile Systems (2016) (12)
- Learning Immune-Defectives Graph through Group Tests (2015) (12)
- Video Anomaly Identification [ a Statistical Approach ] (12)
- On Throughput Maximization and Interference Avoidance in Cognitive Radios (2008) (12)
- Learning Efficient Anomaly Detectors from K-NN Graphs (2015) (12)
- Connected Subgraph Detection with Mirror Descent on SDPs (2017) (12)
- New statistic in P-value estimation for anomaly detection (2012) (11)
- Fundamental Tradeoffs between Sparsity, Sensing Diversity and Sensing Capacity (2006) (11)
- Spectral clustering with imbalanced data (2013) (11)
- Unsupervised Sequential Sensor Acquisition (2017) (11)
- On the Non-Existence of Unbiased Estimators in Constrained Estimation Problems (2016) (11)
- Mild Blast Injury Produces Acute Changes in Basal Intracellular Calcium Levels and Activity Patterns in Mouse Hippocampal Neurons. (2018) (11)
- Randomized Sequential Algorithms for Data Aggregation in Sensor Networks (2006) (11)
- Probabilistic Semantic Retrieval for Surveillance Videos With Activity Graphs (2017) (11)
- On Optimal Outage in Relay Channels With General Fading Distributions (2007) (11)
- On compressed blind de-convolution of filtered sparse processes (2010) (11)
- A new algorithm for outlier rejection in particle filters (2010) (10)
- Efficient In-Network Processing Through Local Ad-Hoc Information Coalescence (2006) (10)
- Cost aware Inference for IoT Devices (2019) (10)
- Search and discovery in an uncertain networked world (2006) (10)
- Information-theoretic bounds for adaptive sparse recovery (2014) (10)
- Energy Efficient Policies for Distributed Target Tracking in Multihop Sensor Networks (2006) (10)
- A multi-resolution approach for discovery and 3-D modeling of archaeological sites using satellite imagery and a UAV-borne camera (2016) (10)
- Training Recurrent Neural Networks via Forward Propagation Through Time (2021) (10)
- Memory Efficient Online Meta Learning (2021) (9)
- Rapid: Rapidly accelerated proximal gradient algorithms for convex minimization (2014) (9)
- Machine learning combining CT findings and clinical parameters improves prediction of length of stay and ICU admission in torso trauma (2021) (9)
- Graph Resistance and Learning from Pairwise Comparisons (2019) (9)
- Selective Classification via One-Sided Prediction (2020) (9)
- Time Adaptive Recurrent Neural Network (2021) (8)
- Distributed Detection in Sensor Networks with Limited Range Sensors (2007) (8)
- Sparse signal recovery under Poisson statistics (2013) (8)
- Dynamic Thresholding for Distributed Multiple Hypotheses Testing (2007) (8)
- Resource Constrained Structured Prediction (2016) (8)
- A Token-Based Approach for Distributed Computation in Sensor Networks (2011) (8)
- Motion detection with false discovery rate control (2008) (8)
- Learning to Approximate a Bregman Divergence (2020) (8)
- Online Algorithm for Unsupervised Sensor Selection (2019) (8)
- Near-Optimal Stochastic Threshold Group Testing (2013) (8)
- Non-adaptive group testing with inhibitors (2014) (8)
- Efficient detection and localization on graph structured data (2015) (7)
- Learning Classifiers for Target Domain with Limited or No Labels (2019) (7)
- Active Boosted Learning (ActBoost) (2011) (7)
- Supervised Hashing with Deep Neural Networks (2015) (7)
- Locally-Linear Learning Machines (L3M) (2013) (7)
- Identification of uncertain systems described by linear fractional transformations (2003) (7)
- Thresholded Basis Pursuit: Support Recovery for Sparse and Approximately Sparse Signals (2008) (7)
- Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data (2021) (7)
- A Provably Efficient Algorithm for Separable Topic Discovery (2015) (7)
- Piecewise Linear Regression via a Difference of Convex Functions (2020) (7)
- Algorithms and bounds for sensing capacity and compressed sensing with applications to learning graphical models (2008) (6)
- A Topic Modeling Approach to Rank Aggregation (2014) (6)
- Codes to unmask spectrum violators in cognitive radio systems (2008) (6)
- Lower bounds for two-sample structural change detection in ising and Gaussian models (2017) (6)
- An impossibility result for high dimensional supervised learning (2013) (6)
- Exploratory search of long surveillance videos (2012) (6)
- Classifying Unseen Instances by Learning Class-Independent Similarity Functions (2015) (6)
- On the Macroscopic Effects of Local Interactions in Multi-hop Wireless Networks (2006) (6)
- Correction to “Boolean Compressed Sensing and Noisy Group Testing” [Mar 12 1880-1901] (2015) (6)
- How Transferable are Video Representations Based on Synthetic Data? (2022) (6)
- Sample complexity of salient feature identification for sparse signal processing (2012) (5)
- RNNs Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? (2019) (5)
- Minimax Rate for Learning From Pairwise Comparisons in the BTL Model (2020) (5)
- Sparse Recovery with Linear and Nonlinear Observations: Dependent and Noisy Data (2014) (5)
- Effectively Leveraging Attributes for Visual Similarity (2021) (5)
- Learning Bregman Divergences (2019) (5)
- User-assisted reflection detection and feature point tracking (2013) (5)
- A new geometric approach to latent topic modeling and discovery (2013) (5)
- Information-Theoretic Characterization of Sparse Recovery (2014) (5)
- Information theoretic bounds to performance of Compressed Sensing and Sensor Networks (2008) (5)
- Efficient algorithms for linear polyhedral bandits (2016) (5)
- Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models (2019) (5)
- Shallow RNNs: A Method for Accurate Time-series Classification on Tiny Devices (2019) (5)
- Dynamic Model Selection for Prediction Under a Budget (2017) (5)
- Person Re-identification via Structured Prediction (2014) (5)
- Real-Time Activity Search of Surveillance Video (2012) (5)
- Unsupervised camera network structure estimation based on activity (2009) (5)
- Spectral Clustering with Unbalanced Data (2013) (4)
- Dynamic inverse optimization (2001) (4)
- Thresholded Basis Pursuit: An LP Algorithm for Achieving Optimal Support Recovery for Sparse and Approximately Sparse Signals from Noisy Random Measurements (2008) (4)
- Reliable Tracking With Intermittent Communications (2006) (4)
- Budget Learning via Bracketing (2020) (4)
- Aperiodic Sequences With Uniformly Decaying Correlations With Applications to Compressed Sensing and System Identification (2012) (4)
- Learning shared rankings from mixtures of noisy pairwise comparisons (2015) (4)
- Equilibrated Recurrent Neural Network: Neuronal Time-Delayed Self-Feedback Improves Accuracy and Stability (2019) (4)
- Outlier detection via localized p-value estimation (2009) (4)
- Robust Distributed Detection with Limited Range Sensors (2007) (4)
- Networked sensing information and control (2008) (4)
- Revision of marginal probability assessments (2010) (3)
- Bandit Quickest Changepoint Detection (2021) (3)
- Performance guarantees in sensor networks (2004) (3)
- Crowdsourcing with Sparsely Interacting Workers (2017) (3)
- Introduction to the issue on anomalous pattern discovery for spatial, temporal, networked, and high-dimensional signals (2013) (3)
- Compressed sensing of autoregressive processes (2009) (3)
- Sensing-aware kernel SVM (2013) (3)
- Graph Construction for Learning with Unbalanced Data (2011) (3)
- Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk (2022) (3)
- Cost effective algorithms for spectral bandits (2015) (3)
- Dynamic topic discovery through sequential projections (2013) (3)
- On Universal Distributed Estimation of Noisy Fields with One-bit Sensors (2007) (3)
- Sensing-aware classification with high-dimensional data (2011) (3)
- Sensing aware dimensionality reduction for nearest neighbor classification of high dimensional signals (2012) (3)
- Multi-Stage Classier Design (2012) (3)
- Sensing structure in learning-based binary classification of high-dimensional data (2011) (3)
- Online Algorithm for Unsupervised Sequential Selection with Contextual Information (2020) (3)
- Two-Sample Testing can be as Hard as Structure Learning in Ising Models: Minimax Lower Bounds (2018) (3)
- Testing Changes in Communities for the Stochastic Block Model (2018) (3)
- Capacity scaling in wireless ad-hoc networks with P/sub e/ (2004) (3)
- RNNs Evolving in Equilibrium: A Solution to the Vanishing and Exploding Gradients (2019) (2)
- Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations (2018) (2)
- RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm (2020) (2)
- Low Dimensional Visual Attributes: An Interpretable Image Encoding (2020) (2)
- Sequential Dynamic Decision Making with Deep Neural Nets on a Test-Time Budget (2017) (2)
- Changes in Cement Mantle Stresses Due to Viscoelasticity and Stem-Cement Interface Conditions (1995) (2)
- Minimax Rank-1 Factorization (2019) (2)
- Necessary and sufficient conditions for robust identification of uncertain LTI systems (2004) (2)
- Two stage decision system (2012) (2)
- Sparse signal recovery under poisson statistics for online marketing applications (2014) (2)
- Compressed Blind De-convolution (2009) (2)
- A combined approach to multi-label multi-task learning (2012) (2)
- A gene filter for comparative analysis of single-cell RNA-sequencing trajectory datasets (2019) (2)
- Distributed Target tracking and localization in multi-hop networks (2006) (2)
- Guest Editorial Inference and Learning over Networks (2016) (2)
- Sensing Capacity of Sensor Networks : Fundamental Tradeoffs of SNR , Sparsity and Sensing Diversity (2007) (2)
- Structured Prediction with Test-time Budget Constraints (2016) (2)
- Learning Minimum Volume Sets and Anomaly Detectors from KNN Graphs (2016) (1)
- Sequential Learning without Feedback (2016) (1)
- Learning for New Visual Environments with Limited Labels (2019) (1)
- Anomalous cluster detection (2014) (1)
- Algorithms for Linear Bandits on Polyhedral Sets (2015) (1)
- Multi-stage classifier design (2013) (1)
- Cost Sensitive Sequential Classification (2012) (1)
- A Rank-SVM Approach to Anomaly Detection (2014) (1)
- Graph-based Learning with Unbalanced Clusters (2012) (1)
- Faster Convex Lipschitz Regression via 2-block ADMM (2021) (1)
- Comments on the proof of adaptive submodular function minimization (2017) (1)
- Distributed Tracking with Multi-hop Networks (2005) (1)
- Faster Algorithms for Learning Convex Functions (2021) (1)
- Compressive sensing bounds through a unifying framework for sparse models (2013) (1)
- Activity Retrieval in Large Surveillance Videos (2014) (1)
- Online local linear classification (2013) (1)
- Noisy filtered sparse processes: Reconstruction and compression (2010) (1)
- ActiveHedge: Hedge meets Active Learning (2022) (1)
- Field of Groves: An Energy-Efficient Random Forest (2017) (1)
- In-Network Decision Making Via Local Message-Passing (2005) (1)
- Minimax Rank-$1$ Matrix Factorization (2020) (1)
- Robust Text Classifier on Test-Time Budgets (2018) (1)
- Probabilistic Belief Revision with Structural Constraints (2010) (1)
- Decentralized compressive sensing (2010) (1)
- Sensing and reconstruction of sparse phenomena bounds and algorithms (2009) (1)
- Optimally Pruning Decision Tree Ensembles With Feature Cost (2016) (1)
- Learning Classifiers for Domain Adaptation, Zero and Few-Shot Recognition Based on Learning Latent Semantic Parts. (2019) (1)
- FedHeN: Federated Learning in Heterogeneous Networks (2022) (0)
- 717 Computer-Assisted Diagnosis of Colonic Polyps by Probe-Based Confocal Laser Endomicroscopy (2010) (0)
- Condensing CNNs with Partial Differential Equations (2022) (0)
- Max-Cost Discrete Function Evaluation Problem under a Budget (2015) (0)
- "active Boosted Learning" Active Boosted Learning (actboost) (2016) (0)
- Markov group testing (2010) (0)
- An Information-Theoretic Approach for Sparse Recovery with Linear and Nonlinear Observations (2016) (0)
- SENSING-AWARE CLASSIFICATIONWITH HIGH-DIMENSIONAL DATA (2016) (0)
- Distributed Field Estimation with One–bit Sensors (2008) (0)
- Implicit Active-Contouring with MRF (2009) (0)
- Supplementary Material : Model Selection by Linear Programming (2014) (0)
- Effectively Leveraging Attributes for Visual Similarity (2021) (0)
- Sensor Selection by Linear Programming (2015) (0)
- Learning Compositional Representations for Effective Low-Shot Generalization (2022) (0)
- CTH05-4: Effect of Geometry on the Diversity-Multiplexing Tradeoff in Relay Channels (2006) (0)
- ROBUST DISTRIBUTEDDETECTIONWITH LIMITEDRANGE SENSORS (2007) (0)
- Supplementary Material : A Proof of Theorem 1 and Corollary 1 (2020) (0)
- A Doubly Optimistic Strategy for Safe Linear Bandits (2022) (0)
- Role of sparsity in high dimensional signal detection and estimation (2011) (0)
- ( SPECIAL SECTION - DISTRIBUTED SIGNAL PROCESSING IN SENSOR NETWORKS ) (2006) (0)
- Limits on Testing Structural Changes in Ising Models (2020) (0)
- 3-D Finite Element Analysis of the Stem-Cement Interface in a Femoral Hip Prothesis with a Viscoelastic Cement Mantle (1996) (0)
- Fine-grained Few-shot Recognition by Deep Object Parsing (2022) (0)
- Learning Where to Fixate on Foveated Images (2018) (0)
- Modeling Patterns of Activity and Detecting Abnormal Events with Low-Level Co-occurrences (2011) (0)
- Unique contributions of parvalbumin and cholinergic interneurons in organizing striatal networks during movement (2019) (0)
- A Token Based Algorithm to Distributed Computation in Sensor Networks (2011) (0)
- Effectively Leveraging Attributes for Visual Similarity Supplementary (2021) (0)
- Doubly-Optimistic Play for Safe Linear Bandits (2022) (0)
- " Active Boosted Learning " (2016) (0)
- Causal Inference for Time Series: A Linear Systems Approach (2017) (0)
- Recherche vidéo à grande échelle au moyen d'interrogations qui définissent des relations entre des objets (2015) (0)
- Minimax Rate for Learning From Pairwise Comparisons (2019) (0)
- Bayesian filtering without an observation model (2012) (0)
- Energy-Efficient Classification: Adaptive Approach (2017) (0)
- Robust strategies for cooperative and cognitive wireless communication systems (2009) (0)
- Online Selective Classification with Limited Feedback (2021) (0)
- Smart Distributed Sensor Fields: Algorithms for Tactical Sensors (2013) (0)
- Technical Committee on Networks and Communication Systems [Technical Activities] (2016) (0)
- Filtering Context Mitigates Scarcity and Selection Bias in Political Ideology Prediction (2023) (0)
- Sparsity penalized reconstruction framework for broadband dispersion extraction (2010) (0)
- Ju l 2 01 6 Remember the Curse of Dimensionality : The Case of Goodness-ofFit Testing in Arbitrary Dimension (2016) (0)
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