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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
- 2024
[j73]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, Yang Wang:
Artificial Intelligence, Social Responsibility, and the Roles of the University. Commun. ACM 67(8): 22-25 (2024)- [j72]Nathaniel Bleier, Abigail Wezelis, Lav R. Varshney, Rakesh Kumar:
Programmable Olfactory Computing. IEEE Micro 44(4): 88-96 (2024) - [j71]Xi Cheng, Theodoros Mamalis, Subhonmesh Bose, Lav R. Varshney:
On Carsharing Platforms With Electric Vehicles as Energy Service Providers. IEEE Trans. Intell. Transp. Syst. 25(7): 8158-8170 (2024) - [j70]Seyed Mohammad Azimi-Abarghouyi, Lav R. Varshney:
Compute-Update Federated Learning: A Lattice Coding Approach. IEEE Trans. Signal Process. 72: 5213-5227 (2024) - [c144]Xinbo Wu, Lav R. Varshney:
A Meta-Learning Perspective on Transformers for Causal Language Modeling. ACL (Findings) 2024: 15612-15622 - [c143]Akhil Bhimaraju, Eliot W. Robson, Lav R. Varshney, Abhishek K. Umrawal:
Fractional Budget Allocation for Influence Maximization under General Marketing Strategies. CIKM 2024: 3627-3631 - [c142]Austin R. Ellis-Mohr, Lav R. Varshney:
Directed Information Flow in Computing Systems with Living Neurons. ISIT (Workshops) 2024: 1-6 - [c141]Anant Naik, Paul M. Arnold, Lav R. Varshney:
Modeling Clinical Symptoms of Cognitive Decline in Neurodegenerative Disease as Faulty Computing. ISIT (Workshops) 2024: 1-6 - [c140]Haizi Yu, Lav R. Varshney:
Semantic Compression with Information Lattice Learning. ISIT (Workshops) 2024: 1-6 - [c139]Seyed Mohammad Azimi-Abarghouyi, Lav R. Varshney:
Federated Learning via Lattice Joint Source-Channel Coding. ISIT 2024: 1623-1628 - [i117]Xinbo Wu, Lav R. Varshney:
Transformer-based Causal Language Models Perform Clustering. CoRR abs/2402.12151 (2024) - [i116]Seyed Mohammad Azimi-Abarghouyi, Lav R. Varshney:
Federated Learning via Lattice Joint Source-Channel Coding. CoRR abs/2403.01023 (2024) - [i115]Haizi Yu, Lav R. Varshney:
Semantic Compression with Information Lattice Learning. CoRR abs/2404.03131 (2024) - [i114]Razan Baltaji, Babak Hemmatian, Lav R. Varshney:
Conformity, Confabulation, and Impersonation: Persona Inconstancy in Multi-Agent LLM Collaboration. CoRR abs/2405.03862 (2024) - [i113]Anuj K. Nayak, Eric Chitambar, Lav R. Varshney:
Reliable Quantum Memories with Unreliable Components. CoRR abs/2406.05599 (2024) - [i112]Akhil Bhimaraju, Eliot W. Robson, Lav R. Varshney, Abhishek K. Umrawal:
Fractional Budget Allocation for Influence Maximization under General Marketing Strategies. CoRR abs/2407.05669 (2024) - [i111]Xinbo Wu, Max Hartman, Vidhata Arjun Jayaraman, Lav R. Varshney:
SwitchCIT: Switching for Continual Instruction Tuning of Large Language Models. CoRR abs/2407.11780 (2024) - [i110]Seyed Mohammad Azimi-Abarghouyi, Lav R. Varshney:
Compute-Update Federated Learning: A Lattice Coding Approach. CoRR abs/2409.06343 (2024) - [i109]Anuj K. Nayak, Lav R. Varshney:
An Information Theory of Compute-Optimal Size Scaling, Emergence, and Plateaus in Language Models. CoRR abs/2410.01243 (2024) - [i108]Anay Pattanaik, Lav R. Varshney:
Online Reinforcement Learning with Passive Memory. CoRR abs/2410.14665 (2024) - 2023
- [j69]Akhil Bhimaraju, Avhishek Chatterjee, Lav R. Varshney:
Dynamic Resource Allocation to Minimize Concave Costs of Shortfalls. IEEE Control. Syst. Lett. 7: 3633-3638 (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) - [c138]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 - [c137]Moulik Choraria, Ibtihal Ferwana, Ankur Mani, Lav R. Varshney:
Learning Optimal Features via Partial Invariance. AAAI 2023: 7175-7183 - [c136]Ian George, Xinan Chen, Lav R. Varshney:
Search for Extraterrestrial Intelligence as One-Shot Hypothesis Testing. CISS 2023: 1-6 - [c135]Alayt Issak, Lav R. Varshney:
Prompt Programming for the Visual Domain. Tiny Papers @ ICLR 2023 - [c134]Nathaniel Bleier, Abigail Wezelis, Lav R. Varshney, Rakesh Kumar:
Programmable Olfactory Computing. ISCA 2023: 26:1-26:14 - [c133]Kush R. Varshney, Lav R. Varshney:
A Banal Account of a Safety-Creativity Tradeoff in Generative AI 163-165. IUI Workshops 2023: 163-165 - [c132]Sourya Basu, Pulkit Katdare, Prasanna Sattigeri, Vijil Chenthamarakshan, Katherine Driggs Campbell, Payel Das, Lav R. Varshney:
Efficient Equivariant Transfer Learning from Pretrained Models. NeurIPS 2023 - [i107]Moulik Choraria, Ibtihal Ferwana, Ankur Mani, Lav R. Varshney:
Learning Optimal Features via Partial Invariance. CoRR abs/2301.12067 (2023) - [i106]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) - [i105]Ibtihal Ferwana, Suyoung Park, Ting-Yi Wu, Lav R. Varshney:
Designing Discontinuities. CoRR abs/2305.08559 (2023) - [i104]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) - [i103]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) - [i102]Sourya Basu, Moulik Choraria, Lav R. Varshney:
Transformers are Universal Predictors. CoRR abs/2307.07843 (2023) - [i101]Bishal Kumar Das, Lav R. Varshney, Vaibhav Madhok:
On Simultaneous Information and Energy Transmission through Quantum Channels. CoRR abs/2309.13691 (2023) - [i100]Akhil Bhimaraju, S. Rasoul Etesami, Lav R. Varshney:
Dynamic Batching of Online Arrivals to Leverage Economies of Scale. CoRR abs/2309.16911 (2023) - [i99]Xinbo Wu, Lav R. Varshney:
A Meta-Learning Perspective on Transformers for Causal Language Modeling. CoRR abs/2310.05884 (2023) - [i98]Razan Baltaji, Sourya Basu, Lav R. Varshney:
Efficient Model-Agnostic Multi-Group Equivariant Networks. CoRR abs/2310.09675 (2023) - [i97]Razan Baltaji, Saurabh Pujar, Louis Mandel, Martin Hirzel, Luca Buratti, Lav R. Varshney:
Learning Transfers over Several Programming Languages. CoRR abs/2310.16937 (2023) - [i96]Babak Hemmatian, Razan Baltaji, Lav R. Varshney:
Muslim-Violence Bias Persists in Debiased GPT Models. CoRR abs/2310.18368 (2023) - [i95]Moulik Choraria, Nitesh Sekhar, Yue Wu, Xu Zhang, Prateek Singhal, Lav R. Varshney:
Language Grounded QFormer for Efficient Vision Language Understanding. CoRR abs/2311.07449 (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) - [c131]Sam Spencer, Lav R. Varshney:
Awareness-Constrained Discrete Choice in Multilayer Network Formation and Evolution. IEEECONF 2022: 1269-1275 - [c130]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 - [c129]Alayt Issak, Lav R. Varshney:
Artistic Autonomy in AI Art. ICCC 2022: 170-174 - [c128]Akhil Bhimaraju, Lav R. Varshney:
Scheduling Group Tests over Time. ISIT 2022: 886-891 - [c127]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) - [c126]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 - [c125]Pankaj Sharma, Lav R. Varshney:
Rational Inattention in Choice Overload: Clustering for Discrete Choices. ACSCC 2021: 1297-1301 - [c124]Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong:
GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning. AIES 2021: 884-894 - [c123]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 - [c122]Lingda Wang, Huozhi Zhou, Bingcong Li, Lav R. Varshney, Zhizhen Zhao:
Near-Optimal Algorithms for Piecewise-Stationary Cascading Bandits. ICASSP 2021: 3365-3369 - [c121]Venkata Sriram Siddhardh Nadendla, Lav R. Varshney:
A Predicament in Securing Blockchain Consensus via Controlling Cryptopuzzle Difficulty. IEEE ICBC 2021: 1-8 - [c120]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 - [c119]Sourya Basu, Govardana Sachitanandam Ramachandran, Nitish Shirish Keskar, Lav R. Varshney:
Mirostat: a Neural Text decoding Algorithm that directly controls perplexity. ICLR 2021 - [c118]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 - [c117]Elsa Dupraz, Lav R. Varshney, François Leduc-Primeau:
Power-Efficient Deep Neural Networks with Noisy Memristor Implementation. ITW 2021: 1-5 - [c116]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 - [c115]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) - [c114]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 - [c113]Yongjune Kim, Yuval Cassuto, Lav R. Varshney:
Distributed Boosting Classifiers over Noisy Channels. ACSSC 2020: 1491-1496 - [c112]Sourya Basu, Daewon Seo, Lav R. Varshney:
Functional Epsilon Entropy. DCC 2020: 332-341 - [c111]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 - [c110]Lav R. Varshney:
Limits Theorems for Creativity with Intentionality. ICCC 2020: 390-393 - [c109]Elsa Dupraz, Lav R. Varshney:
Noisy In-Memory Recursive Computation with Memristor Crossbars. ISIT 2020: 804-809 - [c108]Daewon Seo, Ravi Kiran Raman, Lav R. Varshney:
Social Learning with Beliefs in a Parallel Network. ISIT 2020: 1265-1270 - [c107]Ravi Kiran Raman, Lav R. Varshney:
Registration of Finite Resolution Images: a Second-order Analysis. ISIT 2020: 2320-2325 - [c106]Sourya Basu, Daewon Seo, Lav R. Varshney:
Hypergraph-based Coding Schemes for Two Source Coding Problems under Maximal Distortion. ISIT 2020: 2426-2431 - [c105]Anshoo Tandon, Vincent Y. F. Tan, Lav R. Varshney:
Bee-Identification Error Exponent with Absentee Bees. ISIT 2020: 2891-2896 - [c104]Lav R. Varshney, Nitish Shirish Keskar, Richard Socher:
Limits of Detecting Text Generated by Large-Scale Language Models. ITA 2020: 1-5 - [c103]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]