Lavneesh Varshney

Lavneesh Varshney's AcademicInfluence.com Rankings

Lavneesh Varshney

Engineering

#5740

World Rank

#7011

Historical Rank

Electrical Engineering

#1622

World Rank

#1719

Historical Rank

Applied Physics

#1725

World Rank

#1757

Historical Rank

engineering Degrees

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Engineering

Lavneesh Varshney's Degrees

Bachelors Electrical Engineering Stanford University
Masters Electrical Engineering Stanford University

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Lavneesh Varshney'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

Transporting information and energy simultaneously (2008) (1675)
Structural Properties of the Caenorhabditis elegans Neuronal Network (2009) (773)
CTRL: A Conditional Transformer Language Model for Controllable Generation (2019) (701)
Radar Principles (2005) (444)
BERTology Meets Biology: Interpreting Attention in Protein Language Models (2020) (153)
Performance of LDPC Codes Under Faulty Iterative Decoding (2008) (112)
Optimal Information Storage in Noisy Synapses under Resource Constraints (2006) (88)
Sidelobe reduction for matched filter range processing (2003) (72)
Customer Referral Incentives and Social Media (2015) (71)
Reliable Crowdsourcing for Multi-Class Labeling Using Coding Theory (2013) (68)
Distributed Scalar Quantization for Computing: High-Resolution Analysis and Extensions (2008) (64)
Noise-Enhanced Information Systems (2014) (63)
A framework for Bayesian optimality of psychophysical laws (2012) (62)
Privacy and Reliability in Crowdsourcing Service Delivery (2012) (58)
Quantization of Prior Probabilities for Hypothesis Testing (2008) (49)
Cognition as a part of computational creativity (2013) (48)
Wireless Power Transfer for Future Networks: Signal Processing, Machine Learning, Computing, and Sensing (2021) (45)
Assuring privacy and reliability in crowdsourcing with coding (2014) (42)
Subblock-Constrained Codes for Real-Time Simultaneous Energy and Information Transfer (2015) (41)
Why do we perceive logarithmically? (2013) (40)
On energy/information cross-layer architectures (2012) (39)
A Big Data Approach to Computational Creativity (2013) (39)
Distributed Storage Meets Secret Sharing on the Blockchain (2018) (36)
Flavor Pairing in Medieval European Cuisine: A Study in Cooking with Dirty Data (2013) (36)
Computational creativity for culinary recipes (2014) (36)
Toward a source coding theory for sets (2006) (31)
A big data approach to computational creativity: The curious case of Chef Watson (2019) (30)
Quantization of Prior Probabilities for Collaborative Distributed Hypothesis Testing (2011) (30)
A Culinary Computational Creativity System (2015) (29)
Neural Reconstruction with Approximate Message Passing (NeuRAMP) (2011) (28)
RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System (2020) (28)
To Crowdsource or Not To Crowdsource? (2012) (28)
Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding (2020) (27)
Shannon-Inspired Statistical Computing for the Nanoscale Era (2019) (26)
Limits of Deepfake Detection: A Robust Estimation Viewpoint (2019) (26)
COVID-19 Growth Rate Decreases with Social Capital (2020) (25)
Unreliable and resource-constrained decoding (2010) (24)
Multi-Object Classification via Crowdsourcing With a Reject Option (2016) (24)
Efficient multifaceted screening of job applicants (2013) (23)
On code design for simultaneous energy and information transfer (2014) (23)
Participation in crowd systems (2012) (22)
Dynamic Distributed Storage for Scaling Blockchains (2017) (22)
Efficient Local Secret Sharing for Distributed Blockchain Systems (2019) (22)
Predictive analytics can facilitate proactive property vacancy policies for cities (2014) (22)
Work as a Service (2011) (21)
Intelligent Infrastructure for Smart Agriculture: An Integrated Food, Energy and Water System (2017) (18)
Noise Facilitation in Associative Memories of Exponential Capacity (2014) (17)
Efficient and flexible crowdsourcing of specialized tasks with precedence constraints (2016) (17)
Frame permutation quantization (2009) (17)
Experiments and Models for Decision Fusion by Humans in Inference Networks (2018) (17)
Mirostat: a Neural Text decoding Algorithm that directly controls perplexity (2021) (17)
Two way communication over exponential family type channels (2013) (16)
On Cross-Enterprise Collaboration (2011) (16)
Conflict in Distributed Hypothesis Testing with Quantized Prior Probabilities (2011) (15)
Optimal Information Storage: Nonsequential Sources and Neural Channels (2006) (15)
Dynamic Distributed Storage for Blockchains (2018) (15)
An Information-Theoretic Characterization of Channels That Die (2011) (14)
A Neural Network System for Transformation of Regional Cuisine Style (2017) (14)
Nonstationary Reinforcement Learning with Linear Function Approximation (2020) (14)
Ordered and Disordered Source Coding (2006) (14)
Social capital dimensions are differentially associated with COVID-19 vaccinations, masks, and physical distancing (2021) (14)
Channels that die (2009) (14)
Categorical decision making by people, committees, and crowds (2011) (14)
Performance of LDPC Codes Under Noisy Message-Passing Decoding (2007) (14)
Capacity of systems with queue-length dependent service quality (2016) (14)
Models of dataset size, question design, and cross-language speech perception for speech crowdsourcing applications (2015) (13)
Abdominal Organ Segmentation in CT Scan Images : A Survey (2005) (13)
Work capacity of freelance markets: Fundamental limits and decentralized schemes (2015) (13)
Classification of Epigenetic Biomarkers with Atomically Thin Nanopores. (2018) (13)
Pretrained AI Models: Performativity, Mobility, and Change (2019) (13)
The Google effect in doctoral theses (2012) (13)
Decision Making With Quantized Priors Leads to Discrimination (2017) (13)
Generalized Water-Filling for Source-Aware Energy-Efficient SRAMs (2017) (13)
Subblock energy-constrained codes for simultaneous energy and information transfer (2016) (12)
Despeckling Synthetic Aperture Radar Imagery using the Contourlet Transform (2004) (12)
Securing inductively-coupled communication (2012) (11)
Color-based visual sentiment for social communication (2017) (11)
Permutations and Combinations (2019) (11)
Skip-Sliding Window Codes (2017) (11)
To surprise and inform (2013) (11)
Universal Source Coding of Deep Neural Networks (2017) (11)
Language coverage for mismatched crowdsourcing (2016) (11)
The capacity of injective semi-deterministic two-way channels (2017) (10)
Reliable classification by unreliable crowds (2013) (10)
On Universal Coding of Unordered Data (2007) (10)
High-Resolution Functional Quantization (2008) (9)
Sukiyaki in French style: A novel system for transformation of dietary patterns (2017) (9)
Prediction of odor complaints at a large composite reservoir in a highly urbanized area: A machine learning approach (2019) (9)
Mathematical limit theorems for computational creativity (2019) (9)
Radar System Components and System Design (2005) (9)
Optimal Grouping for Group Minimax Hypothesis Testing (2013) (9)
The Non-Regular CEO Problem (2014) (9)
Collaboration in Distributed Hypothesis Testing with Quantized Prior Probabilities (2011) (9)
Noise-Enhanced Associative Memories (2013) (9)
The Bee-Identification Problem: Bounds on the Error Exponent (2019) (9)
Towards Deep Interpretability (MUS-ROVER II): Learning Hierarchical Representations of Tonal Music (2017) (9)
Limits of Detecting Text Generated by Large-Scale Language Models (2020) (8)
Must Surprise Trump Information? (2019) (8)
Energy-reliability limits in nanoscale circuits (2016) (8)
Distributed Decision Making by Categorically-Thinking Agents (2013) (8)
A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits (2019) (8)
Toward limits of constructing reliable memories from unreliable components (2015) (8)
Fundamental Limits of Data Analytics in Sociotechnical Systems (2016) (8)
Real-time simultaneous energy and information transfer (2015) (8)
Distributed inference networks with costly wires (2010) (7)
Multilevel minimax hypothesis testing (2011) (7)
Information-theoretic limits of algorithmic noise tolerance (2016) (7)
Benefiting from Disorder: Source Coding for Unordered Data (2007) (7)
Cognitive Coordination of Global Service Delivery (2014) (7)
Queuing Approaches to Principal-Agent Communication Under Information Overload (2016) (7)
Energy-reliability limits in nanoscale neural networks (2017) (7)
Embodiment, Anthropomorphism, and Intellectual Property Rights for AI Creations (2018) (7)
Malleable Coding: Compressed Palimpsests (2008) (7)
Private Engineering Education in India: Market Failures and Regulatory Solutions (2006) (7)
Towards optimal quantization of neural networks (2017) (7)
Associative Algorithms for Computational Creativity (2016) (7)
GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning (2020) (6)
Accelerated Discovery of Sustainable Building Materials (2019) (6)
Distributed Functional Scalar Quantization: High-Resolution Analysis and Extensions (2008) (6)
Estimating the number of infection sources in a tree (2016) (6)
On the Outage-Constrained Rate of Skip-Sliding Window Codes (2019) (6)
The WaaSaBE Model: Marrying WaaS and Business-Entities to Support Cross-Organization Collaboration (2012) (6)
On Palimpsests in Neural Memory: An Information Theory Viewpoint (2016) (6)
Information overload and human priority queuing (2014) (6)
Benefits of collaboration and diversity in teams of categorically-thinking decision makers (2012) (6)
Minimum mean bayes risk error quantization of prior probabilities (2008) (6)
Universal Joint Image Clustering and Registration Using Multivariate Information Measures (2018) (5)
On the Use of Discrete Prolate Spheroidal Windows for Frequency Selective Filter Design (2004) (5)
A Perspective on Future Research Directions in Information Theory (2015) (5)
Malleable coding with edit-distance cost (2009) (5)
MUS-ROVER: A Self-Learning System for Musical Compositional Rules (2016) (5)
Exploring Application Domains for Computational Creativity (2014) (5)
A service-oriented algebra for optimizing the management of service requests (2015) (5)
Quantization Games on Social Networks and Language Evolution (2020) (5)
Are Run-Length Limited Codes Suitable for Simultaneous Energy and Information Transfer? (2019) (5)
Bee-Identification Error Exponent with Absentee Bees (2019) (5)
Safety in the Face of Unknown Unknowns: Algorithm Fusion in Data-driven Engineering Systems (2019) (5)
Be Aware of Non-Stationarity: Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits (2019) (5)
Engineering Theory and Mathematics in the Early Development of Information Theory (2004) (5)
Signal Processing Foundations for Time-Based Signal Representations: Neurobiological parallels to engineered systems designed for energy efficiency or hardware simplicity (2019) (5)
A Distributed Transmitter for the Sensor Reachback Problem Based on Radar Signals (2005) (5)
A Group-Theoretic Approach to Computational Abstraction: Symmetry-Driven Hierarchical Clustering (2018) (5)
Work Capacity of Regulated Freelance Platforms: Fundamental Limits and Decentralized Schemes (2017) (5)
Respect for Human Autonomy in Recommender Systems (2020) (4)
Malleable coding with fixed segment reuse (2008) (4)
Coding theory for reliable signal processing (2014) (4)
Acquisition of action potentials with ultra-low sampling rates (2010) (4)
The Wiring Economy Principle for Designing Inference Networks (2013) (4)
Wireless Network Coding With Intelligent Reflecting Surfaces (2021) (4)
Cost-performance tradeoffs in unreliable computation architectures (2016) (4)
Decision fusion by people: Experiments, models, and sociotechnical system design (2015) (4)
Ridesharing Systems with Electric Vehicles (2019) (4)
Olfactory signal processing (2014) (4)
Limits Theorems for Creativity with Intentionality (2020) (4)
The role of information patterns in designing crowdsourcing contests (2018) (4)
Information and Energy Transmission With Experimentally Sampled Harvesting Functions (2018) (4)
Pace of Life in Cities and the Emergence of Town Tweeters (2017) (4)
An Information-Theoretic View of Cloud Workloads (2014) (4)
Budget-optimal clustering via crowdsourcing (2017) (4)
Distributed estimation via paid crowd work (2016) (4)
Human Evaluation of Interpretability: The Case of AI-Generated Music Knowledge (2020) (4)
Ground Surveillance Radars and Military Intelligence (2005) (4)
Functional Epsilon Entropy (2019) (4)
Work as a Service Meta-model and Protocol for Adjustable Visibility, Coordination, and Control (2012) (4)
Universal Clustering via Crowdsourcing (2016) (4)
Probabilistic Rule Realization and Selection (2017) (4)
Hypergraph-based Coding Schemes for Two Source Coding Problems under Maximal Distortion (2020) (4)
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations (2020) (4)
Face Metamorphosis and Face Caricature: A User’s Guide (2004) (4)
Probability Reweighting in Social Learning: Optimality and Suboptimality (2018) (3)
A Coupon-Collector Model of Machine-Aided Discovery (2017) (3)
Coding for Scalable Blockchains via Dynamic Distributed Storage (2021) (3)
Binary Recursive Estimation on Noisy Hardware (2019) (3)
Registration for Image-Based Transcriptomics: Parametric Signal Features and Multivariate Information Measures (2019) (3)
Constant subblock composition codes for simultaneous energy and information transfer (2014) (3)
Learning Interpretable Musical Compositional Rules and Traces (2016) (3)
Distributed Boosting Classifiers over Noisy Channels (2020) (3)
Local fidelity, constrained codes, and the Meru Prastara (2008) (3)
Performance of LDPC Decoders With Missing Connections (2016) (3)
Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm (2020) (3)
On Multiuser Systems with Queue-Length Dependent Service Quality (2018) (3)
Business-to-Peer Carsharing Systems with Electric Vehicles (2019) (3)
The CEO Problem With rth Power of Difference and Logarithmic Distortions (2018) (3)
Universal joint image clustering and registration using partition information (2017) (3)
Concentric Permutation Source Codes (2009) (3)
Generalized analog thresholding for spike acquisition at ultralow sampling rates. (2015) (3)
Beliefs in Decision-Making Cascades (2019) (3)
Malleable Coding with Fixed Reuse (2008) (3)
FOOD steganography with olfactory white (2014) (3)
SRAM Bit-line Swings Optimization using Generalized Waterfilling (2018) (3)
Allegro: A Metrics Framework for Globally Distributed Service Delivery (2012) (3)
On concentric spherical codes and permutation codes with multiple initial codewords (2009) (3)
Evaluating State-of-the-Art Classification Models Against Bayes Optimality (2021) (3)
Autoequivariant Network Search via Group Decomposition (2021) (3)
Communication over a channel that wears out (2017) (3)
Accelerated Design and Deployment of Low-Carbon Concrete for Data Centers (2022) (2)
Quantization Games on Networks (2013) (2)
Trustworthy Predictive Algorithms for Complex Forest System Decision-Making (2021) (2)
Optimal Energy Allocation in Reliable Neural Sensory Processing (2019) (2)
Noisy In-Memory Recursive Computation with Memristor Crossbars (2020) (2)
Multicasting Energy and Information Simultaneously (2018) (2)
Beyond IQ: The Importance of Metacognition for the Promotion of Global Wellbeing (2021) (2)
Toward a Comparative Cognitive History: Archimedes and D. H. J. Polymath (2012) (2)
Optimal Recovery of Missing Values for Non-negative Matrix Factorization (2019) (2)
Classes of Full-Duplex Channels With Capacity Achieved Without Adaptation (2019) (2)
Boosting Classifiers with Noisy Inference (2019) (2)
Explaining Artificial Intelligence Generation and Creativity: Human interpretability for novel ideas and artifacts (2022) (2)
Explaining Creative Artifacts (2020) (2)
Digital trust substitution technologies to support smallholder livelihoods in Sub-Saharan Africa (2022) (2)
Near-Optimal Algorithms for Piecewise-Stationary Cascading Bandits (2019) (2)
Computational Creativity for Valid Rube Goldberg Machines (2018) (2)
The first cohort in a new innovation, leadership, and engineering entrepreneurship B. S. degree program (2017) (2)
Active odor cancellation (2014) (2)
Dimensions, Bits, and Wows in Accelerating Materials Discovery (2018) (2)
Planting trees at the right places: Recommending suitable sites for growing trees using algorithm fusion (2020) (2)
Universal and Succinct Source Coding of Deep Neural Networks (2018) (2)
Informational limits of neural circuits (2011) (2)
Clustering-based Phonetic Projection in Mismatched Crowdsourcing Channels for Low-resourced ASR (2016) (2)
Non-Negative Matrix Factorization of Clustered Data with Missing Values (2019) (2)
A Difficulty in Controlling Blockchain Mining Costs via Cryptopuzzle Difficulty (2020) (2)
Bottleneck capacity of random graphs for connectomics (2016) (2)
Cost-Reliability Tradeoffs in Fusing Unreliable Computational Units (2020) (2)
On Optimal Information Storage in Synapses (2007) (2)
Are RLL Codes Suitable for Simultaneous Energy and Information Transfer? (2018) (2)
Illum information (2017) (2)
Engineering for problems of excess (2014) (2)
Learning from One and Only One Shot (2022) (1)
A systems approach to computing in beyond CMOS fabrics (2017) (1)
Olfactory Signals and Systems (2014) (1)
A Group-Theoretic Approach to Abstraction: Hierarchical, Interpretable, and Task-Free Clustering (2018) (1)
Hypergraph-based Source Codes for Function Computation Under Maximal Distortion (2022) (1)
AI-Aided Co-Creation for Wellbeing (2021) (1)
Generalized Jordan Center: A Source Localization Heuristic For Noisy And Incomplete Observations (2019) (1)
Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering (2021) (1)
Decision Making in Star Networks With Incorrect Beliefs (2019) (1)
Edible vaccines: an overview. (2000) (1)
A game-theoretic approach to a task delegation problem (2017) (1)
Energy-Reliability Limits in Nanoscale Feedforward Neural Networks and Formulas (2016) (1)
Orbit Computation for Atomically Generated Subgroups of Isometries of Zn (2021) (1)
Variations On Channel Capacity per Unit Cost (2005) (1)
(Re)discovering Laws of Music Theory Using Information Lattice Learning (2022) (1)
Letter: Development of Machine Learning-Based Models to Predict Treatment Response to Spinal Cord Stimulation. (2022) (1)
Power-Efficient Deep Neural Networks with Noisy Memristor Implementation (2021) (1)
Limits of Detecting Extraterrestrial Civilizations (2021) (1)
Finite-Sample Analysis of Image Registration (2020) (1)
Debiased Large Language Models Still Associate Muslims with Uniquely Violent Acts (2022) (1)
Foodsheds in Virtual Water Flow Networks: A Spectral Graph Theory Approach (2017) (1)
Group Equivariant Neural Architecture Search via Group Decomposition and Reinforcement Learning (2021) (1)
The CEO Problem with rth Power of Difference Distortion (2019) (1)
On the Throughput of Channels That Wear Out (2017) (1)
Polar Codes for Simultaneous Information and Energy Transmission (2019) (1)
Communication strategies for low-latency trading (2015) (1)
On Multiple-Access in Queue-Length Sensitive Systems (2019) (1)
The Bee-Identification Error Exponent With Absentee Bees (2020) (1)
Malleable Coding for Updatable Cloud Caching (2016) (1)
Exploring limits to tree-planting as a natural climate solution (2022) (1)
LDPC decoders with missing connections (2016) (1)
What governs attitudes toward artificial intelligence adoption and governance? (2021) (1)
Social Learning with Beliefs in a Parallel Network (2019) (1)
Identity Annotation in Photo Collections : A Survey (2009) (1)
Tweet volumes in American cities (2016) (0)
Distributed Boosting Classification Over Noisy Communication Channels (2023) (0)
Social Bubbles and Superspreaders: Source Identification for Contagion Processes on Hypertrees (2020) (0)
Second International Workshop on Cross-Enterprise Collaboration (CEC 2011) (2012) (0)
Information and Energy Transfer with Experimentally-Sampled Harvesting Functions (2018) (0)
The Capocelli Prize (2022) (0)
Balancing Fairness and Robustness via Partial Invariance (2021) (0)
Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing (2022) (0)
Beating Henry Higgins at His Own Game : A Markovian Approach to Dialectology (2003) (0)
The State of Machine Learning in Outcomes Prediction of Transsphenoidal Surgery: A Systematic Review (2021) (0)
Significant Deregulated Pathways in Diabetes Type II Complications Identified through Expression Based Network Biology (2009) (0)
Source Identification for Exosomal Communication via Protein Language Models (2022) (0)
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models (2022) (0)
On Carsharing Platforms with Electric Vehicles as Energy Service Providers (2022) (0)
Social Construction of Knowledge and Safety Regulation Policy (2006) (0)
Cost-Performance Tradeoffs in Fusing Unreliable Computational Units (2017) (0)
An X PRIZE in Rural Energy Storage (2010) (0)
Orbit Computation for Atomically Generated Subgroups of Isometries of $\mathbb{Z}^n$ (2019) (0)
Learning Optimal Features via Partial Invariance (2023) (0)
Signal Transformation and Information Representation Academic and Research Staff Professor (2005) (0)
The Google effect in doctoral theses (2012) (0)
Beliefs and Expertise in Sequential Decision Making (2018) (0)
A computational neuroscience perspective on subjective wellbeing within the active inference framework (2022) (0)
Outage-Constrained Rate of Skip-Sliding Window Codes (2020) (0)
Rational Inattention in Choice Overload: Clustering for Discrete Choices (2021) (0)
Random Coding Error Exponent for the Bee-Identification Problem (2019) (0)
The Role of Information Theory and Queuing Theory in Human Computation Systems (2016) (0)
Scheduling Group Tests over Time (2022) (0)
On the Informational Requirements of Indian Cooking (2005) (0)
Suprathreshold Visual Psychophysics and Applications to Image Compression (2005) (0)
How efficient are we at fusing decisions ? (2014) (0)
High-resolution distributed functional quantization (2008) (0)
Skip-Sliding Window Codes (2021) (0)
A Predicament in Securing Blockchain Consensus via Controlling Cryptopuzzle Difficulty (2021) (0)
Limits of Fault-Tolerance on Resource-Constrained Quantum Circuits for Classical Problems (2023) (0)
Information and Energy Transmission with Experimentally-Sampled Harvesting Functions (2019) (0)
Short and Wide Network Paths (2019) (0)
Deducing Fundamental Limits: Drawing Things Closed (2007) (0)
Error Exponent Bounds for the Bee-Identification Problem (2019) (0)
Mean Extinction Times of Epidemics with State-Dependent Infectiousness (2021) (0)
Mechanism Design for Task Delegation to Agents with Private Ordering Preferences (2019) (0)
Summary and Review of Space-Time Processing Systems Professor Adam Bojanczyk April 9 , 2003 (2005) (0)
Succinct Source Coding of Deep Neural Networks (2018) (0)
Mp5: Final Report Ece 445 Digital Communications over Packet-switched Networks (2004) (0)
Fidelity loss in distribution-preserving anonymization and histogram equalization (2016) (0)
Universal Clustering (2021) (0)
Towards Information-Theoretic Limits of the Global Neuronal Workspace Architecture (2018) (0)
Hyperspectral Image Dimensionality Reduction with Metamer Discrimination Preservation (2006) (0)
Optimal Recovery for Causal Inference (2022) (0)
Estimating Glycemic Impact of Cooking Recipes via Online Crowdsourcing and Machine Learning (2019) (0)
On Multiple-Access Systems with Queue-Length Dependent Service Quality (2019) (0)
Energy-Efficient Machine Learning Algorithms (2019) (0)
Registration of Finite Resolution Images: a Second-order Analysis (2020) (0)
Awareness-Constrained Discrete Choice in Multilayer Network Formation and Evolution (2022) (0)
A Banal Account of a Safety-Creativity Tradeoff in Generative AI 163-165 (2023) (0)
Surprising sequences for communication and conversation (2018) (0)
The Twelvefold Way of Non-Sequential Lossless Compression (2020) (0)
Self-sustainable OFDM transmissions with smooth energy delivery (2016) (0)
Deterministic Estimation (2005) (0)
Expected Extinction Times of Epidemics With State-Dependent Infectiousness (2021) (0)
Neural Networks Built from Unreliable Components (2013) (0)
On Automated Assessments : The State of the Art and Goals Contributions from (2015) (0)
Sensitivity of Quadratic Gaussian Matching to Interference (2011) (0)
Meeting Shannon: Information-theoretic thinking in engineering and science (2008) (0)
Search for Extraterrestrial Intelligence as One-Shot Hypothesis Testing (2023) (0)
Information Storage Capacity (2006) (0)
Blockchain and the Scientific Method (2019) (0)
Network Analysis as a Tool for Shaping Conservation and Development Policy: A Case Study of Timber Market Optimization in India (2023) (0)
Guest Editoral Signal Processing Advances in Wireless Transmission of Information and Power (2021) (0)
Coding for Computing Arbitrary Functions Unknown to the Encoder (2018) (0)
CEO problem for belief sharing (2015) (0)
Rate Distortion Characterization of Wavelet-Based Image Compression Schemes (2004) (0)
Generalization across Contexts in Unsupervised Computational Creativity (2018) (0)

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What Schools Are Affiliated With Lavneesh Varshney?

Lavneesh Varshney is affiliated with the following schools:

University of Illinois Urbana-Champaign

Lavneesh Varshney's Academic­Influence.com Rankings

Lavneesh Varshney's Degrees

Why Is Lavneesh Varshney Influential?

Lavneesh Varshney's Published Works

Published Works

What Schools Are Affiliated With Lavneesh Varshney?

Lavneesh Varshney's AcademicInfluence.com Rankings