Lav R. Varshney

Orcid: 0000-0003-2798-5308

Affiliations:
  • University of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, IL, USA
  • IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA (former)
  • Massachusetts Institute of Technology, Laboratory for Information and Decision Systems, Cambridge, MA, USA (former)


According to our database1, Lav R. Varshney authored at least 259 papers between 2006 and 2024.

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Bibliography

2024
Federated Learning via Lattice Joint Source-Channel Coding.
CoRR, 2024

Transformer-based Causal Language Models Perform Clustering.
CoRR, 2024

2023
Distributed Boosting Classification Over Noisy Communication Channels.
IEEE J. Sel. Areas Commun., 2023

A Group-Theoretic Approach to Computational Abstraction: Symmetry-Driven Hierarchical Clustering.
J. Mach. Learn. Res., 2023

Information Lattice Learning.
J. Artif. Intell. Res., 2023

Dynamic Resource Allocation to Minimize Concave Costs of Shortfalls.
IEEE Control. Syst. Lett., 2023

Language Grounded QFormer for Efficient Vision Language Understanding.
CoRR, 2023

Muslim-Violence Bias Persists in Debiased GPT Models.
CoRR, 2023

Learning Transfers over Several Programming Languages.
CoRR, 2023

Efficient Model-Agnostic Multi-Group Equivariant Networks.
CoRR, 2023

A Meta-Learning Perspective on Transformers for Causal Language Modeling.
CoRR, 2023

Dynamic Batching of Online Arrivals to Leverage Economies of Scale.
CoRR, 2023

On Simultaneous Information and Energy Transmission through Quantum Channels.
CoRR, 2023

Transformers are Universal Predictors.
CoRR, 2023

Understanding Interactions Between Chip Architecture and Uncertainties in Semiconductor Supply and Demand.
CoRR, 2023

Equivariant Few-Shot Learning from Pretrained Models.
CoRR, 2023

Designing Discontinuities.
CoRR, 2023

Network Analysis as a Tool for Shaping Conservation and Development Policy: A Case Study of Timber Market Optimization in India.
CoRR, 2023

Efficient Equivariant Transfer Learning from Pretrained Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Banal Account of a Safety-Creativity Tradeoff in Generative AI 163-165.
Proceedings of the Joint Proceedings of the IUI 2023 Workshops: HAI-GEN, 2023

Programmable Olfactory Computing.
Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

Prompt Programming for the Visual Domain.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Search for Extraterrestrial Intelligence as One-Shot Hypothesis Testing.
Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

Learning Optimal Features via Partial Invariance.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Universal and Succinct Source Coding of Deep Neural Networks.
IEEE J. Sel. Areas Inf. Theory, December, 2022

Hypergraph-Based Source Codes for Function Computation Under Maximal Distortion.
IEEE J. Sel. Areas Inf. Theory, December, 2022

Short and Wide Network Paths.
IEEE Trans. Netw. Sci. Eng., 2022

Expected Extinction Times of Epidemics With State-Dependent Infectiousness.
IEEE Trans. Netw. Sci. Eng., 2022

Nonstationary Reinforcement Learning with Linear Function Approximation.
Trans. Mach. Learn. Res., 2022

Explaining Artificial Intelligence Generation and Creativity: Human interpretability for novel ideas and artifacts.
IEEE Signal Process. Mag., 2022

Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering.
Sensors, 2022

Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing.
CoRR, 2022

Debiased Large Language Models Still Associate Muslims with Uniquely Violent Acts.
CoRR, 2022

Learning from One and Only One Shot.
CoRR, 2022

Source Identification for Exosomal Communication via Protein Language Models.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Scheduling Group Tests over Time.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Artistic Autonomy in AI Art.
Proceedings of the 13th International Conference on Computational Creativity, Bozen-Bolzano, Italy, June 27, 2022

Accelerated Design and Deployment of Low-Carbon Concrete for Data Centers.
Proceedings of the COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, Seattle, WA, USA, 29 June 2022, 2022

Awareness-Constrained Discrete Choice in Multilayer Network Formation and Evolution.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Decision Making in Star Networks With Incorrect Beliefs.
IEEE Trans. Signal Process., 2021

Quantization Games on Social Networks and Language Evolution.
IEEE Trans. Signal Process., 2021

Coding for Scalable Blockchains via Dynamic Distributed Storage.
IEEE/ACM Trans. Netw., 2021

The CEO Problem With rth Power of Difference and Logarithmic Distortions.
IEEE Trans. Inf. Theory, 2021

Skip-Sliding Window Codes.
IEEE Trans. Commun., 2021

Orbit Computation for Atomically Generated Subgroups of Isometries of ℤ<sup>n</sup>.
SIAM J. Appl. Algebra Geom., 2021

Wireless Power Transfer for Future Networks: Signal Processing, Machine Learning, Computing, and Sensing.
IEEE J. Sel. Top. Signal Process., 2021

Guest Editoral Signal Processing Advances in Wireless Transmission of Information and Power.
IEEE J. Sel. Top. Signal Process., 2021

Wireless Network Coding With Intelligent Reflecting Surfaces.
IEEE Commun. Lett., 2021

Balancing Fairness and Robustness via Partial Invariance.
CoRR, 2021

Limits of Detecting Extraterrestrial Civilizations.
CoRR, 2021

Group Equivariant Neural Architecture Search via Group Decomposition and Reinforcement Learning.
CoRR, 2021

Mean Extinction Times of Epidemics with State-Dependent Infectiousness.
CoRR, 2021

Social Bubbles and Superspreaders: Source Identification for Contagion Processes on Hypertrees.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Evaluating State-of-the-Art Classification Models Against Bayes Optimality.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Power-Efficient Deep Neural Networks with Noisy Memristor Implementation.
Proceedings of the IEEE Information Theory Workshop, 2021

BERTology Meets Biology: Interpreting Attention in Protein Language Models.
Proceedings of the 9th International Conference on Learning Representations, 2021

Mirostat: a Neural Text decoding Algorithm that directly controls perplexity.
Proceedings of the 9th International Conference on Learning Representations, 2021

AI-Aided Co-Creation for Wellbeing.
Proceedings of the Twelfth International Conference on Computational Creativity, 2021

A Predicament in Securing Blockchain Consensus via Controlling Cryptopuzzle Difficulty.
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2021

Near-Optimal Algorithms for Piecewise-Stationary Cascading Bandits.
Proceedings of the IEEE International Conference on Acoustics, 2021


GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Rational Inattention in Choice Overload: Clustering for Discrete Choices.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

Adversarial Linear Contextual Bandits with Graph-Structured Side Observations.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
The Bee-Identification Error Exponent With Absentee Bees.
IEEE Trans. Inf. Theory, 2020

Outage-Constrained Rate of Skip-Sliding Window Codes.
IEEE Trans. Green Commun. Netw., 2020

Classes of Full-Duplex Channels With Capacity Achieved Without Adaptation.
IEEE Trans. Commun., 2020

On Multiple-Access in Queue-Length Sensitive Systems.
IEEE Open J. Commun. Soc., 2020

Energy-Reliability Limits in Nanoscale Feedforward Neural Networks and Formulas.
IEEE J. Sel. Areas Inf. Theory, 2020

Explaining Creative Artifacts.
CoRR, 2020

Planting trees at the right places: Recommending suitable sites for growing trees using algorithm fusion.
CoRR, 2020

Respect for Human Autonomy in Recommender Systems.
CoRR, 2020

Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm.
CoRR, 2020

A Difficulty in Controlling Blockchain Mining Costs via Cryptopuzzle Difficulty.
CoRR, 2020

Mind Your Inflections! Improving NLP for Non-Standard English with Base-Inflection Encoding.
CoRR, 2020

Human Evaluation of Interpretability: The Case of AI-Generated Music Knowledge.
CoRR, 2020

Finite-Sample Analysis of Image Registration.
CoRR, 2020

RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Limits of Detecting Text Generated by Large-Scale Language Models.
Proceedings of the Information Theory and Applications Workshop, 2020

Social Learning with Beliefs in a Parallel Network.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Registration of Finite Resolution Images: a Second-order Analysis.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Noisy In-Memory Recursive Computation with Memristor Crossbars.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Hypergraph-based Coding Schemes for Two Source Coding Problems under Maximal Distortion.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Limits Theorems for Creativity with Intentionality.
Proceedings of the Eleventh International Conference on Computational Creativity, 2020

Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Functional Epsilon Entropy.
Proceedings of the Data Compression Conference, 2020

Distributed Boosting Classifiers over Noisy Channels.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Beliefs in Decision-Making Cascades.
IEEE Trans. Signal Process., 2019

Are Run-Length Limited Codes Suitable for Simultaneous Energy and Information Transfer?
IEEE Trans. Green Commun. Netw., 2019

On the Throughput of Channels That Wear Out.
IEEE Trans. Commun., 2019

The Bee-Identification Problem: Bounds on the Error Exponent.
IEEE Trans. Commun., 2019

Information and Energy Transmission With Experimentally Sampled Harvesting Functions.
IEEE Trans. Commun., 2019

Must Surprise Trump Information?
IEEE Technol. Soc. Mag., 2019

Signal Processing Foundations for Time-Based Signal Representations: Neurobiological parallels to engineered systems designed for energy efficiency or hardware simplicity.
IEEE Signal Process. Mag., 2019

Shannon-Inspired Statistical Computing for the Nanoscale Era.
Proc. IEEE, 2019

Efficient Local Secret Sharing for Distributed Blockchain Systems.
IEEE Commun. Lett., 2019

A big data approach to computational creativity: The curious case of Chef Watson.
IBM J. Res. Dev., 2019

Mathematical limit theorems for computational creativity.
IBM J. Res. Dev., 2019

Be Aware of Non-Stationarity: Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits.
CoRR, 2019

CTRL: A Conditional Transformer Language Model for Controllable Generation.
CoRR, 2019

Boosting Classifiers with Noisy Inference.
CoRR, 2019

Pretrained AI Models: Performativity, Mobility, and Change.
CoRR, 2019

On Multiple-Access Systems with Queue-Length Dependent Service Quality.
CoRR, 2019

Accelerated Discovery of Sustainable Building Materials.
CoRR, 2019

Error Exponent Bounds for the Bee-Identification Problem.
CoRR, 2019

Limits of Deepfake Detection: A Robust Estimation Viewpoint.
CoRR, 2019

Polar Codes for Simultaneous Information and Energy Transmission.
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Random Coding Error Exponent for the Bee-Identification Problem.
Proceedings of the 2019 IEEE Information Theory Workshop, 2019

Multicasting Energy and Information Simultaneously.
Proceedings of the IEEE International Symposium on Information Theory, 2019

The CEO Problem with rth Power of Difference Distortion.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Binary Recursive Estimation on Noisy Hardware.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Safety in the Face of Unknown Unknowns: Algorithm Fusion in Data-driven Engineering Systems.
Proceedings of the IEEE International Conference on Acoustics, 2019

Estimating Glycemic Impact of Cooking Recipes via Online Crowdsourcing and Machine Learning.
Proceedings of the 9th International Conference on Digital Public Health, 2019

Generalized Jordan Center: A Source Localization Heuristic For Noisy And Incomplete Observations.
Proceedings of the IEEE Data Science Workshop, 2019

Non-Negative Matrix Factorization of Clustered Data with Missing Values.
Proceedings of the IEEE Data Science Workshop, 2019

Business-to-Peer Carsharing Systems with Electric Vehicles.
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019

Registration for Image-Based Transcriptomics: Parametric Signal Features and Multivariate Information Measures.
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019

Ridesharing Systems with Electric Vehicles.
Proceedings of the 2019 American Control Conference, 2019

2018
Experiments and Models for Decision Fusion by Humans in Inference Networks.
IEEE Trans. Signal Process., 2018

Efficient and Flexible Crowdsourcing of Specialized Tasks With Precedence Constraints.
IEEE/ACM Trans. Netw., 2018

Generalized Water-Filling for Source-Aware Energy-Efficient SRAMs.
IEEE Trans. Commun., 2018

Universal Joint Image Clustering and Registration Using Multivariate Information Measures.
IEEE J. Sel. Top. Signal Process., 2018

A Neural Network System for Transformation of Regional Cuisine Style.
Frontiers ICT, 2018

Beliefs and Expertise in Sequential Decision Making.
CoRR, 2018

A Group-Theoretic Approach to Abstraction: Hierarchical, Interpretable, and Task-Free Clustering.
CoRR, 2018

Are RLL Codes Suitable for Simultaneous Energy and Information Transfer?
CoRR, 2018

Information and Energy Transfer with Experimentally-Sampled Harvesting Functions.
CoRR, 2018

Distributed Storage Meets Secret Sharing on the Blockchain.
Proceedings of the 2018 Information Theory and Applications Workshop, 2018

On Multiuser Systems with Queue-Length Dependent Service Quality.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Dynamic Distributed Storage for Blockchains.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

SRAM Bit-line Swings Optimization using Generalized Waterfilling.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Computational Creativity for Valid Rube Goldberg Machines.
Proceedings of the Ninth International Conference on Computational Creativity, 2018

Generalization across Contexts in Unsupervised Computational Creativity.
Proceedings of the Ninth International Conference on Computational Creativity, 2018

Probability Reweighting in Social Learning: Optimality and Suboptimality.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Surprising sequences for communication and conversation.
Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018

Embodiment, Anthropomorphism, and Intellectual Property Rights for AI Creations.
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

2017
Multi-Object Classification via Crowdsourcing With a Reject Option.
IEEE Trans. Signal Process., 2017

Work Capacity of Regulated Freelance Platforms: Fundamental Limits and Decentralized Schemes.
IEEE/ACM Trans. Netw., 2017

Queuing Approaches to Principal-Agent Communication Under Information Overload.
IEEE Trans. Inf. Theory, 2017

Capacity of Systems with Queue-Length Dependent Service Quality.
IEEE Trans. Inf. Theory, 2017

Performance of LDPC Decoders With Missing Connections.
IEEE Trans. Commun., 2017

Decision Making With Quantized Priors Leads to Discrimination.
Proc. IEEE, 2017

Customer Referral Incentives and Social Media.
Manag. Sci., 2017

Foodsheds in Virtual Water Flow Networks: A Spectral Graph Theory Approach.
Frontiers ICT, 2017

Dynamic Distributed Storage for Scaling Blockchains.
CoRR, 2017

Intelligent Infrastructure for Smart Agriculture: An Integrated Food, Energy and Water System.
CoRR, 2017

Sukiyaki in French style: A novel system for transformation of dietary patterns.
CoRR, 2017

Cost-Performance Tradeoffs in Fusing Unreliable Computational Units.
CoRR, 2017

Probabilistic Rule Realization and Selection.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Illum information.
Proceedings of the 2017 Information Theory and Applications Workshop, 2017

Communication over a channel that wears out.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Universal joint image clustering and registration using partition information.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Budget-optimal clustering via crowdsourcing.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Towards optimal quantization of neural networks.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

The capacity of injective semi-deterministic two-way channels.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Towards Deep Interpretability (MUS-ROVER II): Learning Hierarchical Representations of Tonal Music.
Proceedings of the 5th International Conference on Learning Representations, 2017

The first cohort in a new innovation, leadership, and engineering entrepreneurship B. S. degree program.
Proceedings of the 2017 IEEE Frontiers in Education Conference, 2017

Universal Source Coding of Deep Neural Networks.
Proceedings of the 2017 Data Compression Conference, 2017

A Systems Approach to Computing in Beyond CMOS Fabrics: Invited.
Proceedings of the 54th Annual Design Automation Conference, 2017

Color-based visual sentiment for social communication.
Proceedings of the 15th Canadian Workshop on Information Theory, 2017

Energy-reliability limits in nanoscale neural networks.
Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

A game-theoretic approach to a task delegation problem.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
On Palimpsests in Neural Memory: An Information Theory Viewpoint.
IEEE Trans. Mol. Biol. Multi Scale Commun., 2016

Subblock-Constrained Codes for Real-Time Simultaneous Energy and Information Transfer.
IEEE Trans. Inf. Theory, 2016

Malleable Coding for Updatable Cloud Caching.
IEEE Trans. Commun., 2016

Fundamental Limits of Data Analytics in Sociotechnical Systems.
Frontiers ICT, 2016

Olfactory signal processing.
Digit. Signal Process., 2016

Learning Interpretable Musical Compositional Rules and Traces.
CoRR, 2016

Universal Clustering via Crowdsourcing.
CoRR, 2016

Clustering-based Phonetic Projection in Mismatched Crowdsourcing Channels for Low-resourced ASR.
Proceedings of the 6th Workshop on South and Southeast Asian Natural Language Processing, 2016

Language coverage for mismatched crowdsourcing.
Proceedings of the 2016 Information Theory and Applications Workshop, 2016

Energy-reliability limits in nanoscale circuits.
Proceedings of the 2016 Information Theory and Applications Workshop, 2016

Subblock energy-constrained codes for simultaneous energy and information transfer.
Proceedings of the IEEE International Symposium on Information Theory, 2016

LDPC decoders with missing connections.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Information-theoretic limits of algorithmic noise tolerance.
Proceedings of the IEEE International Conference on Rebooting Computing, 2016

Bottleneck capacity of random graphs for connectomics.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Distributed estimation via paid crowd work.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Estimating the number of infection sources in a tree.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Fidelity loss in distribution-preserving anonymization and histogram equalization.
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016

Cost-performance tradeoffs in unreliable computation architectures.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
The Non-Regular CEO Problem.
IEEE Trans. Inf. Theory, 2015

A Perspective on Future Research Directions in Information Theory.
CoRR, 2015

CEO problem for belief sharing.
Proceedings of the 2015 IEEE Information Theory Workshop, 2015

Toward limits of constructing reliable memories from unreliable components.
Proceedings of the 2015 IEEE Information Theory Workshop, 2015

Real-time simultaneous energy and information transfer.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Communication strategies for low-latency trading.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Work capacity of freelance markets: Fundamental limits and decentralized schemes.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

Decision fusion by people: Experiments, models, and sociotechnical system design.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2014
Optimal Grouping for Group Minimax Hypothesis Testing.
IEEE Trans. Inf. Theory, 2014

Noise-Enhanced Information Systems.
Proc. IEEE, 2014

Noise Facilitation in Associative Memories of Exponential Capacity.
Neural Comput., 2014

Reliable Crowdsourcing for Multi-Class Labeling Using Coding Theory.
IEEE J. Sel. Top. Signal Process., 2014

Olfactory Signals and Systems.
CoRR, 2014

Cognitive Coordination of Global Service Delivery.
CoRR, 2014

Active odor cancellation.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

FOOD steganography with olfactory white.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Constant subblock composition codes for simultaneous energy and information transfer.
Proceedings of the Eleventh Annual IEEE International Conference on Sensing, 2014

Assuring privacy and reliability in crowdsourcing with coding.
Proceedings of the 2014 Information Theory and Applications Workshop, 2014

On code design for simultaneous energy and information transfer.
Proceedings of the 2014 Information Theory and Applications Workshop, 2014

Information overload and human priority queuing.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Coding theory for reliable signal processing.
Proceedings of the International Conference on Computing, Networking and Communications, 2014

Exploring Application Domains for Computational Creativity.
Proceedings of the Fifth International Conference on Computational Creativity, 2014

An Information-Theoretic View of Cloud Workloads.
Proceedings of the 2014 IEEE International Conference on Cloud Engineering, 2014

Computational creativity for culinary recipes.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

Work as a Service.
Proceedings of the Advanced Web Services, 2014

2013
Distributed Decision Making by Categorically-Thinking Agents.
Proceedings of the Decision Making and Imperfection, 2013

The Wiring Economy Principle for Designing Inference Networks.
IEEE J. Sel. Areas Commun., 2013

Flavor Pairing in Medieval European Cuisine: A Study in Cooking with Dirty Data.
CoRR, 2013

A Big Data Approach to Computational Creativity.
CoRR, 2013

Noise-Enhanced Associative Memories.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

To surprise and inform.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Two way communication over exponential family type channels.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Reliable classification by unreliable crowds.
Proceedings of the IEEE International Conference on Acoustics, 2013

Efficient multifaceted screening of job applicants.
Proceedings of the Joint 2013 EDBT/ICDT Conferences, 2013

Quantization Games on Networks.
Proceedings of the 2013 Data Compression Conference, 2013

Cognition as a part of computational creativity.
Proceedings of the IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing, 2013

2012
Quantization of Prior Probabilities for Collaborative Distributed Hypothesis Testing.
IEEE Trans. Signal Process., 2012

An Information-Theoretic Characterization of Channels That Die.
IEEE Trans. Inf. Theory, 2012

The Google effect in doctoral theses.
Scientometrics, 2012

Toward a Comparative Cognitive History: Archimedes and D. H. J. Polymath
CoRR, 2012

Privacy and Reliability in Crowdsourcing Service Delivery.
Proceedings of the 2012 Annual SRII Global Conference, San Jose, CA, USA, July 24-27, 2012, 2012

Work as a Service Meta-model and Protocol for Adjustable Visibility, Coordination, and Control.
Proceedings of the 2012 Annual SRII Global Conference, San Jose, CA, USA, July 24-27, 2012, 2012

Allegro: A Metrics Framework for Globally Distributed Service Delivery.
Proceedings of the 2012 Annual SRII Global Conference, San Jose, CA, USA, July 24-27, 2012, 2012

The WaaSaBE Model: Marrying WaaS and Business-Entities to Support Cross-Organization Collaboration.
Proceedings of the 2012 Annual SRII Global Conference, San Jose, CA, USA, July 24-27, 2012, 2012

Securing inductively-coupled communication.
Proceedings of the 2012 Information Theory and Applications Workshop, 2012

On energy/information cross-layer architectures.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Benefits of collaboration and diversity in teams of categorically-thinking decision makers.
Proceedings of the IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, 2012

To Crowdsource or Not To Crowdsource?
Proceedings of the 4th Human Computation Workshop, 2012

Participation in crowd systems.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
Performance of LDPC Codes Under Faulty Iterative Decoding.
IEEE Trans. Inf. Theory, 2011

Distributed Scalar Quantization for Computing: High-Resolution Analysis and Extensions.
IEEE Trans. Inf. Theory, 2011

Structural Properties of the <i>Caenorhabditis elegans</i> Neuronal Network.
PLoS Comput. Biol., 2011

Sensitivity of Quadratic Gaussian Matching to Interference.
IEEE Commun. Lett., 2011

Neural Reconstruction with Approximate Message Passing (NeuRAMP).
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Categorical decision making by people, committees, and crowds.
Proceedings of the Information Theory and Applications Workshop, 2011

Malleable coding with fixed segment reuse.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Work as a Service.
Proceedings of the Service-Oriented Computing - 9th International Conference, 2011

Conflict in Distributed Hypothesis Testing with Quantized Prior Probabilities.
Proceedings of the 2011 Data Compression Conference (DCC 2011), 2011

Collaboration in Distributed Hypothesis Testing with Quantized Prior Probabilities.
Proceedings of the 2011 Data Compression Conference (DCC 2011), 2011

On Cross-Enterprise Collaboration.
Proceedings of the Business Process Management - 9th International Conference, 2011

Informational limits of neural circuits.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010
Unreliable and resource-constrained decoding.
PhD thesis, 2010

Concentric Permutation Source Codes.
IEEE Trans. Commun., 2010

Frame permutation quantization.
Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010

Distributed inference networks with costly wires.
Proceedings of the American Control Conference, 2010

2009
Malleable coding with edit-distance cost.
Proceedings of the IEEE International Symposium on Information Theory, 2009

On concentric spherical codes and permutation codes with multiple initial codewords.
Proceedings of the IEEE International Symposium on Information Theory, 2009

Channels that die.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008
Quantization of Prior Probabilities for Hypothesis Testing.
IEEE Trans. Signal Process., 2008

Distributed Functional Scalar Quantization: High-Resolution Analysis and Extensions
CoRR, 2008

Malleable Coding: Compressed Palimpsests
CoRR, 2008

Meeting Shannon: Information-theoretic thinking in engineering and science.
Proceedings of the 2008 IEEE Information Theory Workshop, 2008

Transporting information and energy simultaneously.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

Minimum mean bayes risk error quantization of prior probabilities.
Proceedings of the IEEE International Conference on Acoustics, 2008

High-Resolution Functional Quantization.
Proceedings of the 2008 Data Compression Conference (DCC 2008), 2008

2007
Benefiting from Disorder: Source Coding for Unordered Data
CoRR, 2007

2006
Toward a Source Coding Theory for Sets.
Proceedings of the 2006 Data Compression Conference (DCC 2006), 2006


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