Toward a Source Coding Theory for Sets. - Lav R. Varshney; Vivek K. Goyal (DCC, 2006)

Benefiting from Disorder: Source Coding for Unordered Data - Lav R. Varshney; Vivek K. Goyal (CoRR, 2007)

High-Resolution Functional Quantization. - Vinith Misra; Vivek K. Goyal; Lav R. Varshney (DCC, 2008)

Minimum mean bayes risk error quantization of prior probabilities. - Kush R. Varshney; Lav R. Varshney (ICASSP, 2008)

Transporting information and energy simultaneously. - Lav R. Varshney (ISIT, 2008)

Meeting Shannon: Information-theoretic thinking in engineering and science. - Lav R. Varshney (ITW, 2008)

Malleable Coding: Compressed Palimpsests - Lav R. Varshney; Julius Kusuma; Vivek K. Goyal (CoRR, 2008)

Distributed Functional Scalar Quantization: High-Resolution Analysis and Extensions - Vinith Misra; Vivek K. Goyal; Lav R. Varshney (CoRR, 2008)

Quantization of Prior Probabilities for Hypothesis Testing. - Kush R. Varshney; Lav R. Varshney (IEEE Trans. Signal Process., 2008)

Channels that die. - Lav R. Varshney; Sanjoy K. Mitter; Vivek K. Goyal (Allerton, 2009)

On concentric spherical codes and permutation codes with multiple initial codewords. - Ha Q. Nguyen 001; Vivek K. Goyal; Lav R. Varshney (ISIT, 2009)

Malleable coding with edit-distance cost. - Lav R. Varshney; Julius Kusuma; Vivek K. Goyal (ISIT, 2009)

Distributed inference networks with costly wires. - Lav R. Varshney (ACC, 2010)

Frame permutation quantization. - Ha Q. Nguyen 001; Vivek K. Goyal; Lav R. Varshney (CISS, 2010)

Concentric Permutation Source Codes. - Ha Q. Nguyen 001; Lav R. Varshney; Vivek K. Goyal (IEEE Trans. Commun., 2010)

Unreliable and resource-constrained decoding. - Lav R. Varshney (2010)

Informational limits of neural circuits. - Lav R. Varshney; Devavrat Shah (Allerton, 2011)

On Cross-Enterprise Collaboration. - Lav R. Varshney; Daniel V. Oppenheim (BPM, 2011)

Collaboration in Distributed Hypothesis Testing with Quantized Prior Probabilities. - Joong Bum Rhim; Lav R. Varshney; Vivek K. Goyal (DCC, 2011)

Conflict in Distributed Hypothesis Testing with Quantized Prior Probabilities. - Joong Bum Rhim; Lav R. Varshney; Vivek K. Goyal (DCC, 2011)

Work as a Service. - Daniel V. Oppenheim; Lav R. Varshney; Yi-Min Chee (ICSOC, 2011)

Malleable coding with fixed segment reuse. - Julius Kusuma; Lav R. Varshney; Vivek K. Goyal (ISIT, 2011)

Categorical decision making by people, committees, and crowds. - Lav R. Varshney; Joong Bum Rhim; Kush R. Varshney; Vivek K. Goyal (ITA, 2011)

Neural Reconstruction with Approximate Message Passing (NeuRAMP). - Alyson K. Fletcher; Sundeep Rangan; Lav R. Varshney; Aniruddha Bhargava (NIPS, 2011)

Sensitivity of Quadratic Gaussian Matching to Interference. - Lav R. Varshney; Sanjoy K. Mitter (IEEE Commun. Lett., 2011)

Structural Properties of the Caenorhabditis elegans Neuronal Network. - Lav R. Varshney; Beth L. Chen; Eric Paniagua; David H. Hall; Dmitri B. Chklovskii (PLoS Comput. Biol., 2011)

Distributed Scalar Quantization for Computing: High-Resolution Analysis and Extensions. - Vinith Misra; Vivek K. Goyal; Lav R. Varshney (IEEE Trans. Inf. Theory, 2011)

Performance of LDPC Codes Under Faulty Iterative Decoding. - Lav R. Varshney (IEEE Trans. Inf. Theory, 2011)

Participation in crowd systems. - Lav R. Varshney (Allerton Conference, 2012)

To Crowdsource or Not To Crowdsource? - Gireeja Ranade; Lav Raj Varshney (HCOMP@AAAI, 2012)

Benefits of collaboration and diversity in teams of categorically-thinking decision makers. - Joong Bum Rhim; Lav R. Varshney; Vivek K. Goyal (SAM, 2012)

On energy/information cross-layer architectures. - Lav R. Varshney (ISIT, 2012)

Securing inductively-coupled communication. - Lav R. Varshney; Pulkit Grover; Anant Sahai (ITA, 2012)

The WaaSaBE Model: Marrying WaaS and Business-Entities to Support Cross-Organization Collaboration. - Lior Limonad; Lav R. Varshney; Daniel V. Oppenheim; Elad Fein; Pnina Soffer; Yair Wand; Moran Gavish; Ateret Anaby-Tavor (SRII Global Conference, 2012)

Allegro: A Metrics Framework for Globally Distributed Service Delivery. - Daniel V. Oppenheim; Yi-Min Chee; Lav R. Varshney (SRII Global Conference, 2012)

Work as a Service Meta-model and Protocol for Adjustable Visibility, Coordination, and Control. - Roman Vaculín; Yi-Min Chee; Daniel V. Oppenheim; Lav R. Varshney (SRII Global Conference, 2012)

Privacy and Reliability in Crowdsourcing Service Delivery. - Lav R. Varshney (SRII Global Conference, 2012)

Toward a Comparative Cognitive History: Archimedes and D. H. J. Polymath - Lav R. Varshney (CoRR, 2012)

The Google effect in doctoral theses. - Lav R. Varshney (Scientometrics, 2012)

An Information-Theoretic Characterization of Channels That Die. - Lav R. Varshney; Sanjoy K. Mitter; Vivek K. Goyal (IEEE Trans. Inf. Theory, 2012)

Quantization of Prior Probabilities for Collaborative Distributed Hypothesis Testing. - Joong Bum Rhim; Lav R. Varshney; Vivek K. Goyal (IEEE Trans. Signal Process., 2012)

Cognition as a part of computational creativity. - Lav R. Varshney; Florian Pinel; Kush R. Varshney; Angela Schörgendorfer; Yi-Min Chee (ICCI*CC, 2013)

Quantization Games on Networks. - Ankur Mani; Lav R. Varshney; Alex Pentland (DCC, 2013)

Efficient multifaceted screening of job applicants. - Sameep Mehta; Rakesh Pimplikar; Amit Singh 003; Lav R. Varshney; Karthik Visweswariah (EDBT, 2013)

Reliable classification by unreliable crowds. - Aditya Vempaty; Lav R. Varshney; Pramod K. Varshney (ICASSP, 2013)

Two way communication over exponential family type channels. - Lav R. Varshney (ISIT, 2013)

To surprise and inform. - Lav R. Varshney (ISIT, 2013)

Noise-Enhanced Associative Memories. - Amin Karbasi; Amir Hesam Salavati; Amin Shokrollahi; Lav R. Varshney (NIPS, 2013)

A Big Data Approach to Computational Creativity. - Lav R. Varshney; Florian Pinel; Kush R. Varshney; Debarun Bhattacharjya; Angela Schörgendorfer; Yi-Min Chee (CoRR, 2013)

Flavor Pairing in Medieval European Cuisine: A Study in Cooking with Dirty Data. - Kush R. Varshney; Lav R. Varshney; Jun Wang 006; Daniel Myers (CoRR, 2013)

The Wiring Economy Principle for Designing Inference Networks. - Lav R. Varshney (IEEE J. Sel. Areas Commun., 2013)

Distributed Decision Making by Categorically-Thinking Agents. - Joong Bum Rhim; Lav R. Varshney; Vivek K. Goyal (Decision Making and Imperfection, 2013)

Work as a Service. - Daniel V. Oppenheim; Lav R. Varshney; Yi-Min Chee (Advanced Web Services, 2014)

Computational creativity for culinary recipes. - Florian Pinel; Lav R. Varshney (CHI Extended Abstracts, 2014)

An Information-Theoretic View of Cloud Workloads. - Lav R. Varshney; Krishna C. Ratakonda (IC2E, 2014)

Exploring Application Domains for Computational Creativity. - Ashish Jagmohan; Ying Li; Nan Shao; Anshul Sheopuri; Dashun Wang; Lav R. Varshney; Pu Huang (ICCC, 2014)

Coding theory for reliable signal processing. - Aditya Vempaty; Yunghsiang S. Han; Lav R. Varshney; Pramod K. Varshney (ICNC, 2014)

Information overload and human priority queuing. - Aseem Sharma; Krishna P. Jagannathan; Lav R. Varshney (ISIT, 2014)

On code design for simultaneous energy and information transfer. - Anshoo Tandon; Mehul Motani; Lav R. Varshney (ITA, 2014)

Assuring privacy and reliability in crowdsourcing with coding. - Lav R. Varshney; Aditya Vempaty; Pramod K. Varshney (ITA, 2014)

Constant subblock composition codes for simultaneous energy and information transfer. - Anshoo Tandon; Mehul Motani; Lav R. Varshney (SECON Workshops, 2014)

FOOD steganography with olfactory white. - Kush R. Varshney; Lav R. Varshney (SSP, 2014)

Active odor cancellation. - Kush R. Varshney; Lav R. Varshney (SSP, 2014)

Cognitive Coordination of Global Service Delivery. - Lav R. Varshney; Shivali Agarwal; Yi-Min Chee; Renuka Sindhgatta; Daniel V. Oppenheim; Juhnyoung Lee; Krishna Ratakonda (CoRR, 2014)

Olfactory Signals and Systems. - Kush R. Varshney; Lav R. Varshney (CoRR, 2014)

Reliable Crowdsourcing for Multi-Class Labeling Using Coding Theory. - Aditya Vempaty; Lav R. Varshney; Pramod K. Varshney (IEEE J. Sel. Top. Signal Process., 2014)

Noise Facilitation in Associative Memories of Exponential Capacity. - Amin Karbasi; Amir Hesam Salavati; Amin Shokrollahi; Lav R. Varshney (Neural Comput., 2014)

Noise-Enhanced Information Systems. - Hao Chen 001; Lav R. Varshney; Pramod K. Varshney (Proc. IEEE, 2014)

Optimal Grouping for Group Minimax Hypothesis Testing. - Kush R. Varshney; Lav R. Varshney (IEEE Trans. Inf. Theory, 2014)

Decision fusion by people: Experiments, models, and sociotechnical system design. - Aditya Vempaty; Lav R. Varshney; Gregory J. Koop; Amy H. Criss; Pramod K. Varshney (GlobalSIP, 2015)

Work capacity of freelance markets: Fundamental limits and decentralized schemes. - Avhishek Chatterjee; Lav R. Varshney; Sriram Vishwanath (INFOCOM, 2015)

Communication strategies for low-latency trading. - Mina Karzand; Lav R. Varshney (ISIT, 2015)

Real-time simultaneous energy and information transfer. - Anshoo Tandon; Mehul Motani; Lav R. Varshney (ISIT, 2015)

Toward limits of constructing reliable memories from unreliable components. - Lav R. Varshney (ITW Fall, 2015)

CEO problem for belief sharing. - Aditya Vempaty; Lav R. Varshney (ITW, 2015)

A Perspective on Future Research Directions in Information Theory. - Jeffrey G. Andrews; Alexandros G. Dimakis; Lara Dolecek; Michelle Effros; Muriel Médard; Olgica Milenkovic; Andrea Montanari; Sriram Vishwanath; Edmund M. Yeh; Randall Berry; Ken R. Duffy; Soheil Feizi; et al. (CoRR, 2015)

The Non-Regular CEO Problem. - Aditya Vempaty; Lav R. Varshney (IEEE Trans. Inf. Theory, 2015)

Cost-performance tradeoffs in unreliable computation architectures. - Mehmet A. Donmez; Maxim Raginsky; Andrew C. Singer; Lav R. Varshney (ACSSC, 2016)

Fidelity loss in distribution-preserving anonymization and histogram equalization. - Lav R. Varshney; Kush R. Varshney (CISS, 2016)

Estimating the number of infection sources in a tree. - Feng Ji; Wee Peng Tay; Lav R. Varshney (GlobalSIP, 2016)

Distributed estimation via paid crowd work. - Song Jianhan; Vei Wang Isaac Phua; Lav R. Varshney (ICASSP, 2016)

Bottleneck capacity of random graphs for connectomics. - Lav R. Varshney (ICASSP, 2016)

Information-theoretic limits of algorithmic noise tolerance. - Daewon Seo; Lav R. Varshney (ICRC, 2016)

LDPC decoders with missing connections. - Linjia Chang; Avhishek Chatterjee; Lav R. Varshney (ISIT, 2016)

Subblock energy-constrained codes for simultaneous energy and information transfer. - Anshoo Tandon; Mehul Motani; Lav R. Varshney (ISIT, 2016)

Energy-reliability limits in nanoscale circuits. - Avhishek Chatterjee; Lav R. Varshney (ITA, 2016)

Language coverage for mismatched crowdsourcing. - Lav R. Varshney; Preethi Jyothi; Mark Hasegawa-Johnson (ITA, 2016)

Clustering-based Phonetic Projection in Mismatched Crowdsourcing Channels for Low-resourced ASR. - Wenda Chen; Mark Hasegawa-Johnson; Nancy F. Chen; Preethi Jyothi; Lav R. Varshney (WSSANLP@COLING, 2016)

Universal Clustering via Crowdsourcing. - Ravi Kiran Raman; Lav R. Varshney (CoRR, 2016)

Learning Interpretable Musical Compositional Rules and Traces. - Haizi Yu; Lav R. Varshney; Guy E. Garnett; Ranjitha Kumar (CoRR, 2016)

Olfactory signal processing. - Kush R. Varshney; Lav R. Varshney (Digit. Signal Process., 2016)

Fundamental Limits of Data Analytics in Sociotechnical Systems. - Lav R. Varshney (Frontiers ICT, 2016)

Malleable Coding for Updatable Cloud Caching. - Lav R. Varshney; Julius Kusuma; Vivek K. Goyal (IEEE Trans. Commun., 2016)

Subblock-Constrained Codes for Real-Time Simultaneous Energy and Information Transfer. - Anshoo Tandon; Mehul Motani; Lav R. Varshney (IEEE Trans. Inf. Theory, 2016)

On Palimpsests in Neural Memory: An Information Theory Viewpoint. - Lav R. Varshney; Julius Kusuma; Vivek K. Goyal (IEEE Trans. Mol. Biol. Multi Scale Commun., 2016)

A game-theoretic approach to a task delegation problem. - Donya Ghavidel Dobakhshari; Lav R. Varshney; Vijay Gupta 001 (ACSSC, 2017)

Energy-reliability limits in nanoscale neural networks. - Avhishek Chatterjee; Lav R. Varshney (CISS, 2017)

Color-based visual sentiment for social communication. - Mayank Amencherla; Lav R. Varshney (CWIT, 2017)

A Systems Approach to Computing in Beyond CMOS Fabrics: Invited. - Ameya Patil; Naresh R. Shanbhag; Lav R. Varshney; Eric Pop; H.-S. Philip Wong; Subhasish Mitra; Jan M. Rabaey; Jeffrey A. Weldon; Larry T. Pileggi; Sasikanth Manipatruni; Dmitri E. Nikonov; Ian A. Young (DAC, 2017)

Universal Source Coding of Deep Neural Networks. - Sourya Basu; Lav R. Varshney (DCC, 2017)

The first cohort in a new innovation, leadership, and engineering entrepreneurship B. S. degree program. - Brooke S. Newell; Lav R. Varshney (FIE, 2017)

Towards Deep Interpretability (MUS-ROVER II): Learning Hierarchical Representations of Tonal Music. - Haizi Yu; Lav R. Varshney (ICLR (Poster), 2017)

The capacity of injective semi-deterministic two-way channels. - Anas Chaaban; Lav R. Varshney; Mohamed-Slim Alouini (ISIT, 2017)

Towards optimal quantization of neural networks. - Avhishek Chatterjee; Lav R. Varshney (ISIT, 2017)

Budget-optimal clustering via crowdsourcing. - Ravi Kiran Raman; Lav R. Varshney (ISIT, 2017)

Universal joint image clustering and registration using partition information. - Ravi Kiran Raman; Lav R. Varshney (ISIT, 2017)

Communication over a channel that wears out. - Ting-Yi Wu; Lav R. Varshney; Vincent Y. F. Tan (ISIT, 2017)

Illum information. - Ravi Kiran Raman; Haizi Yu; Lav R. Varshney (ITA, 2017)

Probabilistic Rule Realization and Selection. - Haizi Yu; Tianxi Li; Lav R. Varshney (NIPS, 2017)

Cost-Performance Tradeoffs in Fusing Unreliable Computational Units. - Mehmet A. Donmez; Maxim Raginsky; Andrew C. Singer; Lav R. Varshney (CoRR, 2017)

Sukiyaki in French style: A novel system for transformation of dietary patterns. - Masahiro Kazama; Minami Sugimoto; Chizuru Hosokawa; Keisuke Matsushima; Lav R. Varshney; Yoshiki Ishikawa (CoRR, 2017)

Intelligent Infrastructure for Smart Agriculture: An Integrated Food, Energy and Water System. - Shashi Shekhar 001; Joe Colletti; Francisco Muñoz-Arriola; Lakshmish Ramaswamy; Chandra Krintz; Lav R. Varshney; Debra J. Richardson (CoRR, 2017)

Dynamic Distributed Storage for Scaling Blockchains. - Ravi Kiran Raman; Lav R. Varshney (CoRR, 2017)

Foodsheds in Virtual Water Flow Networks: A Spectral Graph Theory Approach. - Nina Kshetry; Lav R. Varshney (Frontiers ICT, 2017)

Customer Referral Incentives and Social Media. - Ilan Lobel; Evan Sadler; Lav R. Varshney (Manag. Sci., 2017)

Decision Making With Quantized Priors Leads to Discrimination. - Lav R. Varshney; Kush R. Varshney (Proc. IEEE, 2017)

Performance of LDPC Decoders With Missing Connections. - Linjia Chang; Avhishek Chatterjee; Lav R. Varshney (IEEE Trans. Commun., 2017)

Capacity of Systems with Queue-Length Dependent Service Quality. - Avhishek Chatterjee; Daewon Seo; Lav R. Varshney (IEEE Trans. Inf. Theory, 2017)

Queuing Approaches to Principal-Agent Communication Under Information Overload. - Aseem Sharma; Krishna P. Jagannathan; Lav R. Varshney (IEEE Trans. Inf. Theory, 2017)

Work Capacity of Regulated Freelance Platforms: Fundamental Limits and Decentralized Schemes. - Avhishek Chatterjee; Lav R. Varshney; Sriram Vishwanath (IEEE/ACM Trans. Netw., 2017)

Multi-Object Classification via Crowdsourcing With a Reject Option. - Qunwei Li; Aditya Vempaty; Lav R. Varshney; Pramod K. Varshney (IEEE Trans. Signal Process., 2017)

Embodiment, Anthropomorphism, and Intellectual Property Rights for AI Creations. - Deepak Somaya; Lav R. Varshney (AIES, 2018)

Surprising sequences for communication and conversation. - Ting-Yi Wu; Xiou Ge; Lav R. Varshney (CISS, 2018)

Probability Reweighting in Social Learning: Optimality and Suboptimality. - Daewon Seo; Ravi Kiran Raman; Lav R. Varshney (ICASSP, 2018)

Generalization across Contexts in Unsupervised Computational Creativity. - Dharmashankar Subramanian; Debarun Bhattacharjya; Lav R. Varshney (ICCC, 2018)

Computational Creativity for Valid Rube Goldberg Machines. - Jinjun Xiong; Xiou Ge; Lav R. Varshney (ICCC, 2018)

SRAM Bit-line Swings Optimization using Generalized Waterfilling. - Yongjune Kim 001; Mingu Kang; Lav R. Varshney; Naresh R. Shanbhag (ISIT, 2018)

Dynamic Distributed Storage for Blockchains. - Ravi Kiran Raman; Lav R. Varshney (ISIT, 2018)

On Multiuser Systems with Queue-Length Dependent Service Quality. - Daewon Seo; Avhishek Chatterjee; Lav R. Varshney (ISIT, 2018)

Distributed Storage Meets Secret Sharing on the Blockchain. - Ravi Kiran Raman; Lav R. Varshney (ITA, 2018)

Information and Energy Transfer with Experimentally-Sampled Harvesting Functions. - Daewon Seo; Lav R. Varshney (CoRR, 2018)

Are RLL Codes Suitable for Simultaneous Energy and Information Transfer? - Anshoo Tandon; Mehul Motani; Lav R. Varshney (CoRR, 2018)

A Group-Theoretic Approach to Abstraction: Hierarchical, Interpretable, and Task-Free Clustering. - Haizi Yu; Igor Mineyev; Lav R. Varshney (CoRR, 2018)

Beliefs and Expertise in Sequential Decision Making. - Daewon Seo; Ravi Kiran Raman; Joong Bum Rhim; Vivek K. Goyal; Lav R. Varshney (CoRR, 2018)

A Neural Network System for Transformation of Regional Cuisine Style. - Masahiro Kazama; Minami Sugimoto; Chizuru Hosokawa; Keisuke Matsushima; Lav R. Varshney; Yoshiki Ishikawa (Frontiers ICT, 2018)

Universal Joint Image Clustering and Registration Using Multivariate Information Measures. - Ravi Kiran Raman; Lav R. Varshney (IEEE J. Sel. Top. Signal Process., 2018)

Generalized Water-Filling for Source-Aware Energy-Efficient SRAMs. - Yongjune Kim 001; Mingu Kang; Lav R. Varshney; Naresh R. Shanbhag (IEEE Trans. Commun., 2018)

Efficient and Flexible Crowdsourcing of Specialized Tasks With Precedence Constraints. - Avhishek Chatterjee; Michael Borokhovich; Lav R. Varshney; Sriram Vishwanath (IEEE/ACM Trans. Netw., 2018)

Experiments and Models for Decision Fusion by Humans in Inference Networks. - Aditya Vempaty; Lav R. Varshney; Gregory J. Koop; Amy H. Criss; Pramod K. Varshney (IEEE Trans. Signal Process., 2018)

Ridesharing Systems with Electric Vehicles. - Theodoros Mamalis; Subhonmesh Bose; Lav R. Varshney (ACC, 2019)

Registration for Image-Based Transcriptomics: Parametric Signal Features and Multivariate Information Measures. - Rebecca Chen; Abhinav B. Das; Lav R. Varshney (CISS, 2019)

Business-to-Peer Carsharing Systems with Electric Vehicles. - Theodoros Mamalis; Subhonmesh Bose; Lav R. Varshney (CISS, 2019)

Non-Negative Matrix Factorization of Clustered Data with Missing Values. - Rebecca Chen; Lav R. Varshney (DSW, 2019)

Generalized Jordan Center: A Source Localization Heuristic For Noisy And Incomplete Observations. - Huozhi Zhou; Ashish Jagmohan; Lav R. Varshney (DSW, 2019)

Estimating Glycemic Impact of Cooking Recipes via Online Crowdsourcing and Machine Learning. - Helena H. Lee; Palakorn Achananuparp; Yue Liu; Ee-Peng Lim; Lav R. Varshney (PDH, 2019)

Safety in the Face of Unknown Unknowns: Algorithm Fusion in Data-driven Engineering Systems. - Nina Kshetry; Lav R. Varshney (ICASSP, 2019)

Binary Recursive Estimation on Noisy Hardware. - Elsa Dupraz; Lav R. Varshney (ISIT, 2019)

The CEO Problem with rth Power of Difference Distortion. - Daewon Seo; Lav R. Varshney (ISIT, 2019)

Multicasting Energy and Information Simultaneously. - Ting-Yi Wu; Anshoo Tandon; Lav R. Varshney; Mehul Motani (ISIT, 2019)

Random Coding Error Exponent for the Bee-Identification Problem. - Anshoo Tandon; Vincent Y. F. Tan; Lav R. Varshney (ITW, 2019)

Polar Codes for Simultaneous Information and Energy Transmission. - Sourya Basu; Lav R. Varshney (SPAWC, 2019)

Limits of Deepfake Detection: A Robust Estimation Viewpoint. - Sakshi Agarwal; Lav R. Varshney (CoRR, 2019)

Error Exponent Bounds for the Bee-Identification Problem. - Anshoo Tandon; Vincent Y. F. Tan; Lav R. Varshney (CoRR, 2019)

Accelerated Discovery of Sustainable Building Materials. - Xiou Ge; Richard T. Goodwin; Jeremy R. Gregory; Randolph E. Kirchain; Joana Maria; Lav R. Varshney (CoRR, 2019)

On Multiple-Access Systems with Queue-Length Dependent Service Quality. - Daewon Seo; Avhishek Chatterjee; Lav R. Varshney (CoRR, 2019)

Pretrained AI Models: Performativity, Mobility, and Change. - Lav R. Varshney; Nitish Shirish Keskar; Richard Socher (CoRR, 2019)

Boosting Classifiers with Noisy Inference. - Yongjune Kim 001; Yuval Cassuto; Lav R. Varshney (CoRR, 2019)

CTRL: A Conditional Transformer Language Model for Controllable Generation. - Nitish Shirish Keskar; Bryan McCann; Lav R. Varshney; Caiming Xiong; Richard Socher (CoRR, 2019)

Be Aware of Non-Stationarity: Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits. - Lingda Wang; Huozhi Zhou; Bingcong Li; Lav R. Varshney; Zhizhen Zhao 001 (CoRR, 2019)

Mathematical limit theorems for computational creativity. - Lav R. Varshney (IBM J. Res. Dev., 2019)

A big data approach to computational creativity: The curious case of Chef Watson. - Lav R. Varshney; Florian Pinel; Kush R. Varshney; Debarun Bhattacharjya; Angela Schörgendorfer; Yi-Min Chee (IBM J. Res. Dev., 2019)

Efficient Local Secret Sharing for Distributed Blockchain Systems. - Yongjune Kim 001; Ravi Kiran Raman; Young-Sik Kim; Lav R. Varshney; Naresh R. Shanbhag (IEEE Commun. Lett., 2019)

Shannon-Inspired Statistical Computing for the Nanoscale Era. - Naresh R. Shanbhag; Naveen Verma; Yongjune Kim 001; Ameya D. Patil; Lav R. Varshney (Proc. IEEE, 2019)

Signal Processing Foundations for Time-Based Signal Representations: Neurobiological parallels to engineered systems designed for energy efficiency or hardware simplicity. - Noyan Cem Sevüktekin; Lav R. Varshney; Pavan Kumar Hanumolu; Andrew C. Singer (IEEE Signal Process. Mag., 2019)

Must Surprise Trump Information? - Lav R. Varshney (IEEE Technol. Soc. Mag., 2019)

Information and Energy Transmission With Experimentally Sampled Harvesting Functions. - Daewon Seo; Lav R. Varshney (IEEE Trans. Commun., 2019)

The Bee-Identification Problem: Bounds on the Error Exponent. - Anshoo Tandon; Vincent Y. F. Tan; Lav R. Varshney (IEEE Trans. Commun., 2019)

On the Throughput of Channels That Wear Out. - Ting-Yi Wu; Lav R. Varshney; Vincent Y. F. Tan (IEEE Trans. Commun., 2019)

Are Run-Length Limited Codes Suitable for Simultaneous Energy and Information Transfer? - Anshoo Tandon; Mehul Motani; Lav R. Varshney (IEEE Trans. Green Commun. Netw., 2019)

Beliefs in Decision-Making Cascades. - Daewon Seo; Ravi Kiran Raman; Joong Bum Rhim; Vivek K. Goyal; Lav R. Varshney (IEEE Trans. Signal Process., 2019)

A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits. - Huozhi Zhou; Lingda Wang; Lav R. Varshney; Ee-Peng Lim (AAAI, 2020)

Distributed Boosting Classifiers over Noisy Channels. - Yongjune Kim 001; Yuval Cassuto; Lav R. Varshney (ACSSC, 2020)

Functional Epsilon Entropy. - Sourya Basu; Daewon Seo; Lav R. Varshney (DCC, 2020)

Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding. - Samson Tan; Shafiq R. Joty; Lav R. Varshney; Min-Yen Kan (EMNLP (1), 2020)

Limits Theorems for Creativity with Intentionality. - Lav R. Varshney (ICCC, 2020)

Hypergraph-based Coding Schemes for Two Source Coding Problems under Maximal Distortion. - Sourya Basu; Daewon Seo; Lav R. Varshney (ISIT, 2020)

Noisy In-Memory Recursive Computation with Memristor Crossbars. - Elsa Dupraz; Lav R. Varshney (ISIT, 2020)

Registration of Finite Resolution Images: a Second-order Analysis. - Ravi Kiran Raman; Lav R. Varshney (ISIT, 2020)

Social Learning with Beliefs in a Parallel Network. - Daewon Seo; Ravi Kiran Raman; Lav R. Varshney (ISIT, 2020)

Limits of Detecting Text Generated by Large-Scale Language Models. - Lav R. Varshney; Nitish Shirish Keskar; Richard Socher (ITA, 2020)

RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System. - Helena H. Lee; Shu Ke; Palakorn Achananuparp; Philips Kokoh Prasetyo; Yue Liu; Ee-Peng Lim; Lav R. Varshney (WWW (Companion Volume), 2020)

Finite-Sample Analysis of Image Registration. - Ravi Kiran Raman; Lav R. Varshney (CoRR, 2020)

Human Evaluation of Interpretability: The Case of AI-Generated Music Knowledge. - Haizi Yu; Heinrich Taube; James A. Evans; Lav R. Varshney (CoRR, 2020)

Mind Your Inflections! Improving NLP for Non-Standard English with Base-Inflection Encoding. - Samson Tan; Shafiq R. Joty; Lav R. Varshney; Min-Yen Kan (CoRR, 2020)

A Difficulty in Controlling Blockchain Mining Costs via Cryptopuzzle Difficulty. - Venkata Sriram Siddhardh Nadendla; Lav R. Varshney (CoRR, 2020)

Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm. - Sourya Basu; Govardana Sachitanandam Ramachandran; Nitish Shirish Keskar; Lav R. Varshney (CoRR, 2020)

Respect for Human Autonomy in Recommender Systems. - Lav R. Varshney (CoRR, 2020)

Planting trees at the right places: Recommending suitable sites for growing trees using algorithm fusion. - Pushpendra Rana; Lav R. Varshney (CoRR, 2020)

Explaining Creative Artifacts. - Lav R. Varshney; Nazneen Fatema Rajani; Richard Socher (CoRR, 2020)

Energy-Reliability Limits in Nanoscale Feedforward Neural Networks and Formulas. - Avhishek Chatterjee; Lav R. Varshney (IEEE J. Sel. Areas Inf. Theory, 2020)

On Multiple-Access in Queue-Length Sensitive Systems. - Daewon Seo; Avhishek Chatterjee; Lav R. Varshney (IEEE Open J. Commun. Soc., 2020)

Classes of Full-Duplex Channels With Capacity Achieved Without Adaptation. - Daewon Seo; Anas Chaaban; Lav R. Varshney; Mohamed-Slim Alouini (IEEE Trans. Commun., 2020)

Outage-Constrained Rate of Skip-Sliding Window Codes. - Ting-Yi Wu; Anshoo Tandon; Mehul Motani; Lav R. Varshney (IEEE Trans. Green Commun. Netw., 2020)

The Bee-Identification Error Exponent With Absentee Bees. - Anshoo Tandon; Vincent Y. F. Tan; Lav R. Varshney (IEEE Trans. Inf. Theory, 2020)

Adversarial Linear Contextual Bandits with Graph-Structured Side Observations. - Lingda Wang; Bingcong Li; Huozhi Zhou; Georgios B. Giannakis; Lav R. Varshney; Zhizhen Zhao 001 (AAAI, 2021)

Rational Inattention in Choice Overload: Clustering for Discrete Choices. - Pankaj Sharma 003; Lav R. Varshney (ACSCC, 2021)

GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning. - Govardana Sachithanandam Ramachandran; Ivan Brugere; Lav R. Varshney; Caiming Xiong (AIES, 2021)

The Twelvefold Way of Non-Sequential Lossless Compression. - Taha Ameen ur Rahman; Alton S. Barbehenn; Xinan Chen; Hassan Dbouk; James A. Douglas; Yuncong Geng; Ian George; John B. Harvill; Sung Woo Jeon; Kartik K. Kansal; Kiwook Lee; Kelly A. Levick; et al. (DCC, 2021)

Near-Optimal Algorithms for Piecewise-Stationary Cascading Bandits. - Lingda Wang; Huozhi Zhou; Bingcong Li; Lav R. Varshney; Zhizhen Zhao 001 (ICASSP, 2021)

A Predicament in Securing Blockchain Consensus via Controlling Cryptopuzzle Difficulty. - Venkata Sriram Siddhardh Nadendla; Lav R. Varshney (IEEE ICBC, 2021)

AI-Aided Co-Creation for Wellbeing. - Haizi Yu; James A. Evans; Donna Gallo; Adam Kruse; William M. Patterson; Lav R. Varshney (ICCC, 2021)

Mirostat: a Neural Text decoding Algorithm that directly controls perplexity. - Sourya Basu; Govardana Sachitanandam Ramachandran; Nitish Shirish Keskar; Lav R. Varshney (ICLR, 2021)

BERTology Meets Biology: Interpreting Attention in Protein Language Models. - Jesse Vig; Ali Madani; Lav R. Varshney; Caiming Xiong; Richard Socher; Nazneen Fatema Rajani (ICLR, 2021)

Power-Efficient Deep Neural Networks with Noisy Memristor Implementation. - Elsa Dupraz; Lav R. Varshney; François Leduc-Primeau (ITW, 2021)

Evaluating State-of-the-Art Classification Models Against Bayes Optimality. - Ryan Theisen; Huan Wang 014; Lav R. Varshney; Caiming Xiong; Richard Socher (NeurIPS, 2021)

Social Bubbles and Superspreaders: Source Identification for Contagion Processes on Hypertrees. - Sam Spencer; Lav R. Varshney (SSP, 2021)

Mean Extinction Times of Epidemics with State-Dependent Infectiousness. - Akhil Bhimaraju; Avhishek Chatterjee; Lav R. Varshney (CoRR, 2021)

Group Equivariant Neural Architecture Search via Group Decomposition and Reinforcement Learning. - Sourya Basu; Akshayaa Magesh; Harshit Yadav; Lav R. Varshney (CoRR, 2021)

Limits of Detecting Extraterrestrial Civilizations. - Ian George; Xinan Chen; Lav R. Varshney (CoRR, 2021)

Balancing Fairness and Robustness via Partial Invariance. - Moulik Choraria; Ibtihal Ferwana; Ankur Mani; Lav R. Varshney (CoRR, 2021)

Wireless Network Coding With Intelligent Reflecting Surfaces. - Amanat Kafizov; Ahmed Elzanaty; Lav R. Varshney; Mohamed-Slim Alouini (IEEE Commun. Lett., 2021)

Guest Editoral Signal Processing Advances in Wireless Transmission of Information and Power. - Bruno Clerckx; Kaibin Huang; Lav R. Varshney; Sennur Ulukus; Mohamed-Slim Alouini (IEEE J. Sel. Top. Signal Process., 2021)

Wireless Power Transfer for Future Networks: Signal Processing, Machine Learning, Computing, and Sensing. - Bruno Clerckx; Kaibin Huang; Lav R. Varshney; Sennur Ulukus; Mohamed-Slim Alouini (IEEE J. Sel. Top. Signal Process., 2021)

Orbit Computation for Atomically Generated Subgroups of Isometries of ℤn. - Haizi Yu; Igor Mineyev; Lav R. Varshney (SIAM J. Appl. Algebra Geom., 2021)

Skip-Sliding Window Codes. - Ting-Yi Wu; Anshoo Tandon; Lav R. Varshney; Mehul Motani (IEEE Trans. Commun., 2021)

The CEO Problem With rth Power of Difference and Logarithmic Distortions. - Daewon Seo; Lav R. Varshney (IEEE Trans. Inf. Theory, 2021)

Coding for Scalable Blockchains via Dynamic Distributed Storage. - Ravi Kiran Raman; Lav R. Varshney (IEEE/ACM Trans. Netw., 2021)

Quantization Games on Social Networks and Language Evolution. - Ankur Mani; Lav R. Varshney; Alex Pentland (IEEE Trans. Signal Process., 2021)

Decision Making in Star Networks With Incorrect Beliefs. - Daewon Seo; Ravi Kiran Raman; Lav R. Varshney (IEEE Trans. Signal Process., 2021)

Awareness-Constrained Discrete Choice in Multilayer Network Formation and Evolution. - Sam Spencer; Lav R. Varshney (IEEECONF, 2022)

Accelerated Design and Deployment of Low-Carbon Concrete for Data Centers. - Xiou Ge; Richard T. Goodwin; Haizi Yu; Pablo Romero; Omar Abdelrahman; Amruta Sudhalkar; Julius Kusuma; Ryan Cialdella; Nishant Garg; Lav R. Varshney (COMPASS, 2022)

Artistic Autonomy in AI Art. - Alayt Issak; Lav R. Varshney (ICCC, 2022)

Scheduling Group Tests over Time. - Akhil Bhimaraju; Lav R. Varshney (ISIT, 2022)

Source Identification for Exosomal Communication via Protein Language Models. - Xinbo Wu; Alexandru Hanganu; Ayuko Hoshino; Lav R. Varshney (MLSP, 2022)

Learning from One and Only One Shot. - Haizi Yu; Igor Mineyev; Lav R. Varshney; James A. Evans (CoRR, 2022)

Debiased Large Language Models Still Associate Muslims with Uniquely Violent Acts. - Babak Hemmatian; Lav R. Varshney (CoRR, 2022)

Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing. - Klara Nahrstedt; Naresh R. Shanbhag; Vikram S. Adve; Nancy M. Amato; Romit Roy Choudhury; Carl A. Gunter; Nam Sung Kim; Olgica Milenkovic; Sayan Mitra; Lav R. Varshney; Yurii Vlasov; Sarita V. Adve; et al. (CoRR, 2022)

Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering. - Jonathan Kern; Elsa Dupraz; Abdeldjalil Aïssa-El-Bey; Lav R. Varshney; François Leduc-Primeau (Sensors, 2022)

Explaining Artificial Intelligence Generation and Creativity: Human interpretability for novel ideas and artifacts. - Payel Das; Lav R. Varshney (IEEE Signal Process. Mag., 2022)

Nonstationary Reinforcement Learning with Linear Function Approximation. - Huozhi Zhou; Jinglin Chen; Lav R. Varshney; Ashish Jagmohan (Trans. Mach. Learn. Res., 2022)

Expected Extinction Times of Epidemics With State-Dependent Infectiousness. - Akhil Bhimaraju; Avhishek Chatterjee; Lav R. Varshney (IEEE Trans. Netw. Sci. Eng., 2022)

Short and Wide Network Paths. - Lavanya Marla; Lav R. Varshney; Devavrat Shah; Nirmal A. Prakash; Michael E. Gale (IEEE Trans. Netw. Sci. Eng., 2022)

Hypergraph-Based Source Codes for Function Computation Under Maximal Distortion. - Sourya Basu; Daewon Seo; Lav R. Varshney (IEEE J. Sel. Areas Inf. Theory, 2022)

Universal and Succinct Source Coding of Deep Neural Networks. - Sourya Basu; Lav R. Varshney (IEEE J. Sel. Areas Inf. Theory, 2022)

Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models. - Sourya Basu; Prasanna Sattigeri; Karthikeyan Natesan Ramamurthy; Vijil Chenthamarakshan; Kush R. Varshney; Lav R. Varshney; Payel Das (AAAI, 2023)

Learning Optimal Features via Partial Invariance. - Moulik Choraria; Ibtihal Ferwana; Ankur Mani; Lav R. Varshney (AAAI, 2023)

Search for Extraterrestrial Intelligence as One-Shot Hypothesis Testing. - Ian George; Xinan Chen; Lav R. Varshney (CISS, 2023)

Prompt Programming for the Visual Domain. - Alayt Issak; Lav R. Varshney (Tiny Papers @ ICLR, 2023)

A Banal Account of a Safety-Creativity Tradeoff in Generative AI 163-165. - Kush R. Varshney; Lav R. Varshney (IUI Workshops, 2023)

Efficient Equivariant Transfer Learning from Pretrained Models. - Sourya Basu; Pulkit Katdare; Prasanna Sattigeri; Vijil Chenthamarakshan; Katherine Driggs-Campbell; Payel Das; Lav R. Varshney (NeurIPS, 2023)

Network Analysis as a Tool for Shaping Conservation and Development Policy: A Case Study of Timber Market Optimization in India. - Xiou Ge; Sarah E. Brown; Pushpendra Rana; Lav R. Varshney; Daniel C. Miller (CoRR, 2023)

Designing Discontinuities. - Ibtihal Ferwana; Suyoung Park; Ting-Yi Wu; Lav R. Varshney (CoRR, 2023)

Equivariant Few-Shot Learning from Pretrained Models. - Sourya Basu; Pulkit Katdare; Prasanna Sattigeri; Vijil Chenthamarakshan; Katherine Rose Driggs-Campbell; Payel Das; Lav R. Varshney (CoRR, 2023)

Understanding Interactions Between Chip Architecture and Uncertainties in Semiconductor Supply and Demand. - Ramakrishna Kanungo; Swamynathan Siva; Nathaniel Bleier; Muhammad Husnain Mubarik; Lav R. Varshney; Rakesh Kumar 002 (CoRR, 2023)

Transformers are Universal Predictors. - Sourya Basu; Moulik Choraria; Lav R. Varshney (CoRR, 2023)

On Simultaneous Information and Energy Transmission through Quantum Channels. - Bishal Kumar Das; Lav R. Varshney; Vaibhav Madhok (CoRR, 2023)

Dynamic Batching of Online Arrivals to Leverage Economies of Scale. - Akhil Bhimaraju; S. Rasoul Etesami 001; Lav R. Varshney (CoRR, 2023)

Learning Transfers over Several Programming Languages. - Razan Baltaji; Saurabh Pujar; Louis Mandel; Martin Hirzel; Luca Buratti; Lav R. Varshney (CoRR, 2023)

Muslim-Violence Bias Persists in Debiased GPT Models. - Babak Hemmatian; Razan Baltaji; Lav R. Varshney (CoRR, 2023)

Language Grounded QFormer for Efficient Vision Language Understanding. - Moulik Choraria; Nitesh Sekhar; Yue Wu; Xu Zhang; Prateek Singhal; Lav R. Varshney (CoRR, 2023)

Dynamic Resource Allocation to Minimize Concave Costs of Shortfalls. - Akhil Bhimaraju; Avhishek Chatterjee; Lav R. Varshney (IEEE Control. Syst. Lett., 2023)

Information Lattice Learning. - Haizi Yu; James A. Evans; Lav R. Varshney (J. Artif. Intell. Res., 2023)

A Group-Theoretic Approach to Computational Abstraction: Symmetry-Driven Hierarchical Clustering. - Haizi Yu; Igor Mineyev; Lav R. Varshney (J. Mach. Learn. Res., 2023)

Distributed Boosting Classification Over Noisy Communication Channels. - Yongjune Kim 001; Junyoung Shin; Yuval Cassuto; Lav R. Varshney (IEEE J. Sel. Areas Commun., 2023)

A Meta-Learning Perspective on Transformers for Causal Language Modeling. - Xinbo Wu; Lav R. Varshney (ACL (Findings), 2024)

Leveraging Privacy-Enhancing Technology to Better Serve the United States' Public. - Makini Chisolm-Straker; Lav R. Varshney (IEEE Big Data, 2024)

Fractional Budget Allocation for Influence Maximization under General Marketing Strategies. - Akhil Bhimaraju; Eliot W. Robson; Lav R. Varshney; Abhishek K. Umrawal (CIKM, 2024)

Federated Learning via Lattice Joint Source-Channel Coding. - Seyed Mohammad Azimi-Abarghouyi; Lav R. Varshney (ISIT, 2024)

Directed Information Flow in Computing Systems with Living Neurons. - Austin R. Ellis-Mohr; Lav R. Varshney (ISIT (Workshops), 2024)

Modeling Clinical Symptoms of Cognitive Decline in Neurodegenerative Disease as Faulty Computing. - Anant Naik; Paul M. Arnold; Lav R. Varshney (ISIT (Workshops), 2024)

Semantic Compression with Information Lattice Learning. - Haizi Yu; Lav R. Varshney (ISIT (Workshops), 2024)

Conformity, Confabulation, and Impersonation: Persona Inconstancy in Multi-Agent LLM Collaboration. - Razan Baltaji; Babak Hemmatian; Lav R. Varshney (CoRR, 2024)

Reliable Quantum Memories with Unreliable Components. - Anuj K. Nayak; Eric Chitambar; Lav R. Varshney (CoRR, 2024)

SwitchCIT: Switching for Continual Instruction Tuning of Large Language Models. - Xinbo Wu; Max Hartman; Vidhata Arjun Jayaraman; Lav R. Varshney (CoRR, 2024)

An Information Theory of Compute-Optimal Size Scaling, Emergence, and Plateaus in Language Models. - Anuj K. Nayak; Lav R. Varshney (CoRR, 2024)

Transforming the Hybrid Cloud for Emerging AI Workloads. - Deming Chen; Alaa Youssef; Ruchi Pendse; André Schleife; Bryan K. Clark; Hendrik F. Hamann; Jingrui He; Teodoro Laino; Lav R. Varshney; Yuxiong Wang; Avirup Sil; Reyhaneh Jabbarvand; et al. (CoRR, 2024)

Formal Verification of Digital Twins with TLA and Information Leakage Control. - Luwen Huang; Lav R. Varshney; Karen E. Willcox (CoRR, 2024)

Programmable Olfactory Computing. - Nathaniel Bleier; Abigail Wezelis; Lav R. Varshney; Rakesh Kumar 002 (IEEE Micro, 2024)

Efficient Model-Agnostic Multi-Group Equivariant Networks. - Razan Baltaji; Sourya Basu; Lav R. Varshney (Trans. Mach. Learn. Res., 2024)

Compute-Update Federated Learning: A Lattice Coding Approach. - Seyed Mohammad Azimi-Abarghouyi; Lav R. Varshney (IEEE Trans. Signal Process., 2024)

On Carsharing Platforms With Electric Vehicles as Energy Service Providers. - Xi Cheng; Theodoros Mamalis; Subhonmesh Bose; Lav R. Varshney (IEEE Trans. Intell. Transp. Syst., 2024)

Artificial Intelligence, Social Responsibility, and the Roles of the University. - Michael C. Loui; Nigel Bosch; Anita Say Chan; Jenny L. Davis; Rochelle Gutiérrez; Jingrui He; Karrie Karahalios; Sanmi Koyejo; Ruby Mendenhall; Madelyn Rose Sanfilippo; Hanghang Tong; Lav R. Varshney; et al. (Commun. ACM, 2024)

Online Reinforcement Learning with Passive Memory. - Anay Pattanaik; Lav R. Varshney (ACC, 2025)

Conceptualizing Agency: A Framework for Human-AI Interaction. - Alexander Zhang; Lav R. Varshney (IUI Workshops, 2025)

Transformer-based Causal Language Models Perform Clustering. - Xinbo Wu; Lav R. Varshney (NAACL (Findings), 2025)

Inaccessible Entropy for Watermarking Generative Agents. - Daniel Alabi; Lav R. Varshney (IACR Cryptol. ePrint Arch., 2025)

Cross-lingual Transfer in Programming Languages: An Extensive Empirical Study. - Razan Baltaji; Saurabh Pujar; Martin Hirzel; Louis Mandel; Luca Buratti; Lav R. Varshney (Trans. Mach. Learn. Res., 2025)

ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks. - Saurabh Jha; Rohan R. Arora; Yuji Watanabe; Takumi Yanagawa; Yinfang Chen; Jackson Clark; Bhavya; Mudit Verma; Harshit Kumar; Hirokuni Kitahara; Noah Zheutlin; Saki Takano; et al. (CoRR, 2025)

Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning. - Raghav Singhal; Kaustubh Ponkshe; Rohit Vartak; Lav R. Varshney; Praneeth Vepakomma (CoRR, 2025)

SparseJEPA: Sparse Representation Learning of Joint Embedding Predictive Architectures. - Max Hartman; Lav R. Varshney (CoRR, 2025)

Transformational Creativity in Science: A Graphical Theory. - Samuel Schapiro; Jonah Black; Lav R. Varshney (CoRR, 2025)

Platonic Grounding for Efficient Multimodal Language Models. - Moulik Choraria; Xinbo Wu; Akhil Bhimaraju; Nitesh Sekhar; Yue Wu; Xu Zhang; Prateek Singhal; Lav R. Varshney (CoRR, 2025)

Spark: A System for Scientifically Creative Idea Generation. - Aishik Sanyal; Samuel Schapiro; Sumuk Shashidhar; Royce Moon; Lav R. Varshney; Dilek Hakkani-Tur (CoRR, 2025)

Concealment of Intent: A Game-Theoretic Analysis. - Xinbo Wu; Abhishek K. Umrawal; Lav R. Varshney (CoRR, 2025)

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search. - Austin R. Ellis-Mohr; Anuj K. Nayak; Lav R. Varshney (CoRR, 2025)

Many LLMs Are More Utilitarian Than One. - Anita Keshmirian; Razan Baltaji; Babak Hemmatian; Hadi Asghari; Lav R. Varshney (CoRR, 2025)

Federated Nonlinear System Identification. - Omkar Tupe; Max Hartman; Lav R. Varshney; Saurav Prakash (CoRR, 2025)