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ORCIDLav R. Varshney
Lav Raj Varshney
Person information
- affiliation: University of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, IL, USA
- affiliation (former): IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA
- affiliation (former): Massachusetts Institute of Technology, Laboratory for Information and Decision Systems, Cambridge, MA, USA
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2020 – today
- 2023
[j68]Haizi Yu, James A. Evans, Lav R. Varshney:
Information Lattice Learning. J. Artif. Intell. Res. 77: 971-1019 (2023)- [j67]Haizi Yu, Igor Mineyev, Lav R. Varshney:
A Group-Theoretic Approach to Computational Abstraction: Symmetry-Driven Hierarchical Clustering. J. Mach. Learn. Res. 24: 47:1-47:61 (2023) - [j66]Yongjune Kim
, Junyoung Shin, Yuval Cassuto, Lav R. Varshney:
Distributed Boosting Classification Over Noisy Communication Channels. IEEE J. Sel. Areas Commun. 41(1): 141-154 (2023) - [c136]Sourya Basu, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Vijil Chenthamarakshan, Kush R. Varshney, Lav R. Varshney, Payel Das:
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models. AAAI 2023: 6788-6796 - [c135]Moulik Choraria, Ibtihal Ferwana, Ankur Mani, Lav R. Varshney:
Learning Optimal Features via Partial Invariance. AAAI 2023: 7175-7183 - [c134]Ian George, Xinan Chen, Lav R. Varshney:
Search for Extraterrestrial Intelligence as One-Shot Hypothesis Testing. CISS 2023: 1-6 - [c133]Alayt Issak, Lav R. Varshney:
Prompt Programming for the Visual Domain. Tiny Papers @ ICLR 2023 - [c132]Nathaniel Bleier, Abigail Wezelis, Lav R. Varshney, Rakesh Kumar:
Programmable Olfactory Computing. ISCA 2023: 26:1-26:14 - [c131]Kush R. Varshney, Lav R. Varshney:
A Banal Account of a Safety-Creativity Tradeoff in Generative AI 163-165. IUI Workshops 2023: 163-165 - [i100]Moulik Choraria, Ibtihal Ferwana, Ankur Mani, Lav R. Varshney:
Learning Optimal Features via Partial Invariance. CoRR abs/2301.12067 (2023) - [i99]Xiou Ge, Sarah E. Brown, Pushpendra Rana, Lav R. Varshney, Daniel C. Miller:
Network Analysis as a Tool for Shaping Conservation and Development Policy: A Case Study of Timber Market Optimization in India. CoRR abs/2304.13907 (2023) - [i98]Ibtihal Ferwana, Suyoung Park, Ting-Yi Wu, Lav R. Varshney:
Designing Discontinuities. CoRR abs/2305.08559 (2023) - [i97]Sourya Basu, Pulkit Katdare, Prasanna Sattigeri, Vijil Chenthamarakshan, Katherine Rose Driggs-Campbell, Payel Das, Lav R. Varshney:
Equivariant Few-Shot Learning from Pretrained Models. CoRR abs/2305.09900 (2023) - [i96]Ramakrishna Kanungo, Swamynathan Siva, Nathaniel Bleier, Muhammad Husnain Mubarik, Lav R. Varshney, Rakesh Kumar:
Understanding Interactions Between Chip Architecture and Uncertainties in Semiconductor Supply and Demand. CoRR abs/2305.11059 (2023) - [i95]Sourya Basu, Moulik Choraria, Lav R. Varshney:
Transformers are Universal Predictors. CoRR abs/2307.07843 (2023) - 2022
- [j65]Sourya Basu, Lav R. Varshney:
Universal and Succinct Source Coding of Deep Neural Networks. IEEE J. Sel. Areas Inf. Theory 3(4): 732-745 (2022) - [j64]Sourya Basu, Daewon Seo, Lav R. Varshney:
Hypergraph-Based Source Codes for Function Computation Under Maximal Distortion. IEEE J. Sel. Areas Inf. Theory 3(4): 824-838 (2022) - [j63]Jonathan Kern, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Lav R. Varshney, François Leduc-Primeau:
Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering. Sensors 22(3): 853 (2022) - [j62]Payel Das, Lav R. Varshney:
Explaining Artificial Intelligence Generation and Creativity: Human interpretability for novel ideas and artifacts. IEEE Signal Process. Mag. 39(4): 85-95 (2022) - [j61]Huozhi Zhou, Jinglin Chen, Lav R. Varshney, Ashish Jagmohan:
Nonstationary Reinforcement Learning with Linear Function Approximation. Trans. Mach. Learn. Res. 2022 (2022) - [j60]Lavanya Marla, Lav R. Varshney, Devavrat Shah, Nirmal A. Prakash, Michael E. Gale:
Short and Wide Network Paths. IEEE Trans. Netw. Sci. Eng. 9(2): 524-537 (2022) - [j59]Akhil Bhimaraju, Avhishek Chatterjee, Lav R. Varshney:
Expected Extinction Times of Epidemics With State-Dependent Infectiousness. IEEE Trans. Netw. Sci. Eng. 9(3): 1104-1116 (2022) - [c130]Sam Spencer, Lav R. Varshney:
Awareness-Constrained Discrete Choice in Multilayer Network Formation and Evolution. IEEECONF 2022: 1269-1275 - [c129]Xiou Ge, Richard T. Goodwin, Haizi Yu, Pablo Romero, Omar Abdelrahman, Amruta Sudhalkar, Julius Kusuma, Ryan Cialdella, Nishant Garg, Lav R. Varshney:
Accelerated Design and Deployment of Low-Carbon Concrete for Data Centers. COMPASS 2022: 340-352 - [c128]Alayt Issak, Lav R. Varshney:
Artistic Autonomy in AI Art. ICCC 2022: 170-174 - [c127]Akhil Bhimaraju, Lav R. Varshney:
Scheduling Group Tests over Time. ISIT 2022: 886-891 - [c126]Xinbo Wu, Alexandru Hanganu, Ayuko Hoshino, Lav R. Varshney:
Source Identification for Exosomal Communication via Protein Language Models. MLSP 2022: 1-6 - [i94]Haizi Yu, Igor Mineyev, Lav R. Varshney, James A. Evans:
Learning from One and Only One Shot. CoRR abs/2201.08815 (2022) - [i93]Sourya Basu, Daewon Seo, Lav R. Varshney:
Hypergraph-based Source Codes for Function Computation Under Maximal Distortion. CoRR abs/2204.02586 (2022) - [i92]Xiou Ge, Richard T. Goodwin, Haizi Yu, Pablo Romero, Omar Abdelrahman, Amruta Sudhalkar, Julius Kusuma, Ryan Cialdella, Nishant Garg, Lav R. Varshney:
Accelerated Design and Deployment of Low-Carbon Concrete for Data Centers. CoRR abs/2204.05397 (2022) - [i91]Babak Hemmatian, Lav R. Varshney:
Debiased Large Language Models Still Associate Muslims with Uniquely Violent Acts. CoRR abs/2208.04417 (2022) - [i90]Sourya Basu, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Vijil Chenthamarakshan, Kush R. Varshney, Lav R. Varshney, Payel Das:
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models. CoRR abs/2210.06475 (2022) - [i89]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, Rashid Bashir, Andreas Cangellaris, James DiCarlo, Katie Driggs Campbell, Nick Feamster, Mattia Gazzola, Karrie Karahalios, Sanmi Koyejo, Paul G. Kwiat, Bo Li, Negar Mehr, Ravish Mehra, Andrew Miller, Daniela Rus, Alexander G. Schwing, Anshumali Shrivastava:
Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing. CoRR abs/2210.08974 (2022) - 2021
- [j58]Amanat Kafizov, Ahmed Elzanaty, Lav R. Varshney, Mohamed-Slim Alouini:
Wireless Network Coding With Intelligent Reflecting Surfaces. IEEE Commun. Lett. 25(10): 3427-3431 (2021) - [j57]Bruno Clerckx, Kaibin Huang, Lav R. Varshney, Sennur Ulukus, Mohamed-Slim Alouini:
Guest Editoral Signal Processing Advances in Wireless Transmission of Information and Power. IEEE J. Sel. Top. Signal Process. 15(5): 1056-1059 (2021) - [j56]Bruno Clerckx, Kaibin Huang, Lav R. Varshney, Sennur Ulukus, Mohamed-Slim Alouini:
Wireless Power Transfer for Future Networks: Signal Processing, Machine Learning, Computing, and Sensing. IEEE J. Sel. Top. Signal Process. 15(5): 1060-1094 (2021) - [j55]Haizi Yu, Igor Mineyev, Lav R. Varshney:
Orbit Computation for Atomically Generated Subgroups of Isometries of ℤn. SIAM J. Appl. Algebra Geom. 5(3): 479-505 (2021) - [j54]Ting-Yi Wu, Anshoo Tandon, Lav R. Varshney, Mehul Motani:
Skip-Sliding Window Codes. IEEE Trans. Commun. 69(5): 2824-2836 (2021) - [j53]Daewon Seo, Lav R. Varshney:
The CEO Problem With rth Power of Difference and Logarithmic Distortions. IEEE Trans. Inf. Theory 67(6): 3873-3891 (2021) - [j52]Ravi Kiran Raman, Lav R. Varshney:
Coding for Scalable Blockchains via Dynamic Distributed Storage. IEEE/ACM Trans. Netw. 29(6): 2588-2601 (2021) - [j51]Ankur Mani, Lav R. Varshney, Alex Pentland:
Quantization Games on Social Networks and Language Evolution. IEEE Trans. Signal Process. 69: 3922-3934 (2021) - [j50]Daewon Seo, Ravi Kiran Raman, Lav R. Varshney:
Decision Making in Star Networks With Incorrect Beliefs. IEEE Trans. Signal Process. 69: 6221-6236 (2021) - [c125]Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao:
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations. AAAI 2021: 10156-10164 - [c124]Pankaj Sharma, Lav R. Varshney:
Rational Inattention in Choice Overload: Clustering for Discrete Choices. ACSCC 2021: 1297-1301 - [c123]Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong:
GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning. AIES 2021: 884-894 - [c122]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, Bochao Li, Ziyue Li, Yashaswini Murthy, Adarsh Muthuveeru-Subramaniam, S. Yagiz Olmez, Matthew J. Tomei, Tanya Veeravalli, Xuechao Wang, Eric A. Wayman, Fan Wu, Peng Xu, Shen Yan, Heling Zhang, Yibo Zhang, Yifan Zhang, Yibo Zhao, Sourya Basu, Lav R. Varshney:
The Twelvefold Way of Non-Sequential Lossless Compression. DCC 2021: 336 - [c121]Lingda Wang, Huozhi Zhou, Bingcong Li, Lav R. Varshney, Zhizhen Zhao:
Near-Optimal Algorithms for Piecewise-Stationary Cascading Bandits. ICASSP 2021: 3365-3369 - [c120]Venkata Sriram Siddhardh Nadendla, Lav R. Varshney:
A Predicament in Securing Blockchain Consensus via Controlling Cryptopuzzle Difficulty. IEEE ICBC 2021: 1-8 - [c119]Haizi Yu, James A. Evans, Donna Gallo, Adam Kruse, William M. Patterson, Lav R. Varshney:
AI-Aided Co-Creation for Wellbeing. ICCC 2021: 453-456 - [c118]Sourya Basu, Govardana Sachitanandam Ramachandran, Nitish Shirish Keskar, Lav R. Varshney:
Mirostat: a Neural Text decoding Algorithm that directly controls perplexity. ICLR 2021 - [c117]Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani:
BERTology Meets Biology: Interpreting Attention in Protein Language Models. ICLR 2021 - [c116]Elsa Dupraz, Lav R. Varshney, François Leduc-Primeau:
Power-Efficient Deep Neural Networks with Noisy Memristor Implementation. ITW 2021: 1-5 - [c115]Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher:
Evaluating State-of-the-Art Classification Models Against Bayes Optimality. NeurIPS 2021: 9367-9377 - [c114]Sam Spencer, Lav R. Varshney:
Social Bubbles and Superspreaders: Source Identification for Contagion Processes on Hypertrees. SSP 2021: 471-475 - [i88]Bruno Clerckx, Kaibin Huang, Lav R. Varshney, Sennur Ulukus, Mohamed-Slim Alouini:
Wireless Power Transfer for Future Networks: Signal Processing, Machine Learning, Computing, and Sensing. CoRR abs/2101.04810 (2021) - [i87]Akhil Bhimaraju, Avhishek Chatterjee, Lav R. Varshney:
Mean Extinction Times of Epidemics with State-Dependent Infectiousness. CoRR abs/2103.11330 (2021) - [i86]Amanat Kafizov, Ahmed Elzanaty, Lav R. Varshney, Mohamed-Slim Alouini:
Wireless Network Coding with Intelligent Reflecting Surfaces. CoRR abs/2103.11982 (2021) - [i85]Sourya Basu, Akshayaa Magesh, Harshit Yadav, Lav R. Varshney:
Group Equivariant Neural Architecture Search via Group Decomposition and Reinforcement Learning. CoRR abs/2104.04848 (2021) - [i84]Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher:
Evaluating State-of-the-Art Classification Models Against Bayes Optimality. CoRR abs/2106.03357 (2021) - [i83]Ian George, Xinan Chen, Lav R. Varshney:
Limits of Detecting Extraterrestrial Civilizations. CoRR abs/2107.09794 (2021) - [i82]Jonathan Kern, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Lav R. Varshney, François Leduc-Primeau:
Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering. CoRR abs/2109.01520 (2021) - [i81]Moulik Choraria, Ibtihal Ferwana, Ankur Mani, Lav R. Varshney:
Balancing Fairness and Robustness via Partial Invariance. CoRR abs/2112.09346 (2021) - 2020
- [j49]Avhishek Chatterjee, Lav R. Varshney:
Energy-Reliability Limits in Nanoscale Feedforward Neural Networks and Formulas. IEEE J. Sel. Areas Inf. Theory 1(1): 250-266 (2020) - [j48]Daewon Seo, Avhishek Chatterjee, Lav R. Varshney:
On Multiple-Access in Queue-Length Sensitive Systems. IEEE Open J. Commun. Soc. 1: 1244-1255 (2020) - [j47]Daewon Seo, Anas Chaaban, Lav R. Varshney, Mohamed-Slim Alouini:
Classes of Full-Duplex Channels With Capacity Achieved Without Adaptation. IEEE Trans. Commun. 68(7): 4141-4149 (2020) - [j46]Ting-Yi Wu, Anshoo Tandon, Mehul Motani, Lav R. Varshney:
Outage-Constrained Rate of Skip-Sliding Window Codes. IEEE Trans. Green Commun. Netw. 4(2): 506-514 (2020) - [j45]Anshoo Tandon, Vincent Y. F. Tan, Lav R. Varshney:
The Bee-Identification Error Exponent With Absentee Bees. IEEE Trans. Inf. Theory 66(12): 7602-7614 (2020) - [c113]Huozhi Zhou, Lingda Wang, Lav R. Varshney, Ee-Peng Lim:
A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits. AAAI 2020: 6933-6940 - [c112]Yongjune Kim, Yuval Cassuto, Lav R. Varshney:
Distributed Boosting Classifiers over Noisy Channels. ACSSC 2020: 1491-1496 - [c111]Sourya Basu, Daewon Seo, Lav R. Varshney:
Functional Epsilon Entropy. DCC 2020: 332-341 - [c110]Samson Tan, Shafiq R. Joty, Lav R. Varshney, Min-Yen Kan:
Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding. EMNLP (1) 2020: 5647-5663 - [c109]Lav R. Varshney:
Limits Theorems for Creativity with Intentionality. ICCC 2020: 390-393 - [c108]Elsa Dupraz, Lav R. Varshney:
Noisy In-Memory Recursive Computation with Memristor Crossbars. ISIT 2020: 804-809 - [c107]Daewon Seo, Ravi Kiran Raman, Lav R. Varshney:
Social Learning with Beliefs in a Parallel Network. ISIT 2020: 1265-1270 - [c106]Ravi Kiran Raman, Lav R. Varshney:
Registration of Finite Resolution Images: a Second-order Analysis. ISIT 2020: 2320-2325 - [c105]Sourya Basu, Daewon Seo, Lav R. Varshney:
Hypergraph-based Coding Schemes for Two Source Coding Problems under Maximal Distortion. ISIT 2020: 2426-2431 - [c104]Anshoo Tandon, Vincent Y. F. Tan, Lav R. Varshney:
Bee-Identification Error Exponent with Absentee Bees. ISIT 2020: 2891-2896 - [c103]Lav R. Varshney, Nitish Shirish Keskar, Richard Socher:
Limits of Detecting Text Generated by Large-Scale Language Models. ITA 2020: 1-5 - [c102]Helena H. Lee, Shu Ke, Palakorn Achananuparp, Philips Kokoh Prasetyo, Yue Liu, Ee-Peng Lim, Lav R. Varshney:
RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System. WWW (Companion Volume) 2020: 181-184 - [i80]Ravi Kiran Raman, Lav R. Varshney:
Finite-Sample Analysis of Image Registration. CoRR abs/2001.03869 (2020) - [i79]Donya Ghavidel Dobakhshari, Lav R. Varshney, Vijay Gupta:
A Game-Theoretic Approach to a Task Delegation Problem. CoRR abs/2001.04897 (2020) - [i78]Lav R. Varshney, Nitish Shirish Keskar, Richard Socher:
Limits of Detecting Text Generated by Large-Scale Language Models. CoRR abs/2002.03438 (2020) - [i77]Helena H. Lee, Shu Ke, Palakorn Achananuparp, Philips Kokoh Prasetyo, Yue Liu, Ee-Peng Lim, Lav R. Varshney:
RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System. CoRR abs/2003.02498 (2020) - [i76]Haizi Yu, Heinrich Taube, James A. Evans, Lav R. Varshney:
Human Evaluation of Interpretability: The Case of AI-Generated Music Knowledge. CoRR abs/2004.06894 (2020) - [i75]Samson Tan, Shafiq R. Joty, Lav R. Varshney, Min-Yen Kan:
Mind Your Inflections! Improving NLP for Non-Standard English with Base-Inflection Encoding. CoRR abs/2004.14870 (2020) - [i74]Venkata Sriram Siddhardh Nadendla, Lav R. Varshney:
A Difficulty in Controlling Blockchain Mining Costs via Cryptopuzzle Difficulty. CoRR abs/2005.05521 (2020) - [i73]Ankur Mani, Lav R. Varshney, Alex Pentland:
Quantization Games on Social Networks and Language Evolution. CoRR abs/2006.00584 (2020) - [i72]Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani:
BERTology Meets Biology: Interpreting Attention in Protein Language Models. CoRR abs/2006.15222 (2020) - [i71]Sourya Basu, Govardana Sachitanandam Ramachandran, Nitish Shirish Keskar, Lav R. Varshney:
Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm. CoRR abs/2007.14966 (2020) - [i70]Lav R. Varshney:
Respect for Human Autonomy in Recommender Systems. CoRR abs/2009.02603 (2020) - [i69]Pushpendra Rana, Lav R. Varshney:
Planting trees at the right places: Recommending suitable sites for growing trees using algorithm fusion. CoRR abs/2009.08002 (2020) - [i68]Huozhi Zhou, Jinglin Chen, Lav R. Varshney, Ashish Jagmohan:
Nonstationary Reinforcement Learning with Linear Function Approximation. CoRR abs/2010.04244 (2020) - [i67]Lav R. Varshney, Nazneen Fatema Rajani, Richard Socher:
Explaining Creative Artifacts. CoRR abs/2010.07126 (2020) - [i66]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, Bochao Li, Ziyue Li, Yashaswini Murthy, Adarsh Muthuveeru-Subramaniam, S. Yagiz Olmez, Matthew J. Tomei, Tanya Veeravalli, Xuechao Wang, Eric A. Wayman, Fan Wu, Peng Xu, Shen Yan, Heling Zhang, Yibo Zhang, Yifan Zhang, Yibo Zhao, Sourya Basu, Lav R. Varshney:
The Twelvefold Way of Non-Sequential Lossless Compression. CoRR abs/2011.04069 (2020) - [i65]Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong:
GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning. CoRR abs/2012.03900 (2020) - [i64]Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao:
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations. CoRR abs/2012.05756 (2020)
2010 – 2019
- 2019
- [j44]Lav R. Varshney:
Mathematical limit theorems for computational creativity. IBM J. Res. Dev. 63(1): 2:1-2:12 (2019) - [j43]Lav R. Varshney, Florian Pinel, Kush R. Varshney, Debarun Bhattacharjya, Angela Schörgendorfer, Yi-Min Chee:
A big data approach to computational creativity: The curious case of Chef Watson. IBM J. Res. Dev. 63(1): 7:1-7:18 (2019) - [j42]Yongjune Kim, Ravi Kiran Raman, Young-Sik Kim, Lav R. Varshney, Naresh R. Shanbhag:
Efficient Local Secret Sharing for Distributed Blockchain Systems. IEEE Commun. Lett. 23(2): 282-285 (2019) - [j41]Naresh R. Shanbhag, Naveen Verma, Yongjune Kim, Ameya D. Patil, Lav R. Varshney:
Shannon-Inspired Statistical Computing for the Nanoscale Era. Proc. IEEE 107(1): 90-107 (2019) - [j40]Noyan Cem Sevüktekin, Lav R. Varshney, Pavan Kumar Hanumolu, Andrew C. Singer:
Signal Processing Foundations for Time-Based Signal Representations: Neurobiological parallels to engineered systems designed for energy efficiency or hardware simplicity. IEEE Signal Process. Mag. 36(6): 38-50 (2019) - [j39]Lav R. Varshney:
Must Surprise Trump Information? IEEE Technol. Soc. Mag. 38(1): 81-87 (2019) - [j38]Daewon Seo, Lav R. Varshney:
Information and Energy Transmission With Experimentally Sampled Harvesting Functions. IEEE Trans. Commun. 67(6): 4479-4490 (2019) - [j37]Ting-Yi Wu, Lav R. Varshney, Vincent Y. F. Tan:
On the Throughput of Channels That Wear Out. IEEE Trans. Commun. 67(8): 5311-5320 (2019) - [j36]Anshoo Tandon, Vincent Y. F. Tan, Lav R. Varshney:
The Bee-Identification Problem: Bounds on the Error Exponent. IEEE Trans. Commun. 67(11): 7405-7416 (2019) - [j35]Anshoo Tandon, Mehul Motani, Lav R. Varshney:
Are Run-Length Limited Codes Suitable for Simultaneous Energy and Information Transfer? IEEE Trans. Green Commun. Netw. 3(4): 988-996 (2019) - [j34]Daewon Seo, Ravi Kiran Raman, Joong Bum Rhim, Vivek K. Goyal, Lav R. Varshney:
Beliefs in Decision-Making Cascades. IEEE Trans. Signal Process. 67(19): 5103-5117 (2019) - [c101]Theodoros Mamalis, Subhonmesh Bose, Lav R. Varshney:
Ridesharing Systems with Electric Vehicles. ACC 2019: 3329-3334 - [c100]Rebecca Chen, Abhinav B. Das, Lav R. Varshney:
Registration for Image-Based Transcriptomics: Parametric Signal Features and Multivariate Information Measures. CISS 2019: 1-6 - [c99]Theodoros Mamalis, Subhonmesh Bose, Lav R. Varshney:
Business-to-Peer Carsharing Systems with Electric Vehicles. CISS 2019: 1-6 - [c98]Rebecca Chen, Lav R. Varshney:
Non-Negative Matrix Factorization of Clustered Data with Missing Values. DSW 2019: 180-184 - [c97]Huozhi Zhou, Ashish Jagmohan, Lav R. Varshney:
Generalized Jordan Center: A Source Localization Heuristic For Noisy And Incomplete Observations. DSW 2019: 243-247 - [c96]Helena H. Lee, Palakorn Achananuparp, Yue Liu, Ee-Peng Lim, Lav R. Varshney:
Estimating Glycemic Impact of Cooking Recipes via Online Crowdsourcing and Machine Learning. PDH 2019: 31-35 - [c95]Nina Kshetry, Lav R. Varshney:
Safety in the Face of Unknown Unknowns: Algorithm Fusion in Data-driven Engineering Systems. ICASSP 2019: 8162-8166 - [c94]Daewon Seo, Lav R. Varshney:
Information and Energy Transmission with Experimentally-Sampled Harvesting Functions. ISIT 2019: 126-130 - [c93]Elsa Dupraz, Lav R. Varshney:
Binary Recursive Estimation on Noisy Hardware. ISIT 2019: 877-881 - [c92]