Target localization in Wireless Sensor Networks with quantized data in the presence of Byzantine attacks. - Keshav Agrawal; Aditya Vempaty; Hao Chen 001; Pramod K. Varshney (ACSCC, 2011)

On noise-enhanced distributed inference in the presence of Byzantines. - Mukul Gagrani; Pranay Sharma; Satish G. Iyengar; V. Sriram Siddhardh Nadendla; Aditya Vempaty; Hao Chen 001; Pramod K. Varshney (Allerton, 2011)

Adaptive learning of Byzantines' behavior in cooperative spectrum sensing. - Aditya Vempaty; Keshav Agrawal; Hao Chen 001; Pramod K. Varshney (WCNC, 2011)

Mitigation of Byzantine attacks for target location estimation in wireless sensor networks. - Aditya Vempaty; Onur Ozdemir; Pramod K. Varshney (CISS, 2012)

Target tracking in Wireless Sensor Networks in the presence of Byzantines. - Aditya Vempaty; Onur Ozdemir; Pramod K. Varshney (FUSION, 2013)

Optimal quantizers for distributed Bayesian estimation. - Aditya Vempaty; Biao Chen 001; Pramod K. Varshney (ICASSP, 2013)

Target localization in Wireless Sensor Networks using error correcting codes in the presence of Byzantines. - Aditya Vempaty; Yunghsiang S. Han; Pramod K. Varshney (ICASSP, 2013)

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

Further results on noise-enhanced distributed inference in the presence of Byzantines. - Aditya Vempaty; V. Sriram Siddhardh Nadendla; Pramod K. Varshney (WPMC, 2013)

Distributed Inference with Byzantine Data: State-of-the-Art Review on Data Falsification Attacks. - Aditya Vempaty; Lang Tong 001; Pramod K. Varshney (IEEE Signal Process. Mag., 2013)

Localization in Wireless Sensor Networks: Byzantines and Mitigation Techniques. - Aditya Vempaty; Onur Ozdemir; Keshav Agrawal; Hao Chen 001; Pramod K. Varshney (IEEE Trans. Signal Process., 2013)

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

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

Energy-Aware Sensor Selection in Field Reconstruction. - Sijia Liu 001; Aditya Vempaty; Makan Fardad; Engin Masazade; Pramod K. Varshney (IEEE Signal Process. Lett., 2014)

False discovery rate based distributed detection in the presence of Byzantines. - Aditya Vempaty; Priyadip Ray; Pramod K. Varshney (IEEE Trans. Aerosp. Electron. Syst., 2014)

Target Localization in Wireless Sensor Networks Using Error Correcting Codes. - Aditya Vempaty; Yunghsiang S. Han; Pramod K. Varshney (IEEE Trans. Inf. Theory, 2014)

On Quantizer Design for Distributed Bayesian Estimation in Sensor Networks. - Aditya Vempaty; Hao He 008; Biao Chen 001; Pramod K. Varshney (IEEE Trans. Signal Process., 2014)

Sparsity-promoting sensor management for estimation: An energy balance point of view. - Sijia Liu 001; Feishe Chen; Aditya Vempaty; Makan Fardad; Lixin Shen; Pramod K. Varshney (FUSION, 2015)

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)

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

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

Distributed Inference in Tree Networks Using Coding Theory. - Bhavya Kailkhura; Aditya Vempaty; Pramod K. Varshney (IEEE Trans. Signal Process., 2015)

Correcting Forecasts with Multifactor Neural Attention. - Matthew Riemer; Aditya Vempaty; Flávio P. Calmon; Fenno F. Terry Heath III; Richard Hull 001; Elham Khabiri (ICML, 2016)

Statistical Analysis of Peer Detailing for Children's Diarrhea Treatments. - Yumeng Tao; Debarun Bhattacharjya; Aliza R. Heching; Aditya Vempaty; Moninder Singh; Felix Lam; Kush R. Varshney; Aleksandra Mojsilovic (AAAI Spring Symposia, 2017)

A unified diversity measure for distributed inference. - Prashant Khanduri; Aditya Vempaty; Pramod K. Varshney (ICASSP, 2017)

On classification of environmental acoustic data using crowds. - Shan Zhang 007; Aditya Vempaty; Susan E. Parks; Pramod K. Varshney (ICASSP, 2017)

Effectiveness of peer detailing in a diarrhea program in Nigeria. - Yumeng Tao; Debarun Bhattacharjya; Aliza R. Heching; Aditya Vempaty; Moninder Singh; Felix Lam; Jan Houdek; M. Abubakar; Abdulwahab Alharbi; T. Braimoh; N. Ihebuzor; Aleksandra Mojsilovic; et al. (IBM J. Res. Dev., 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)

Secure Networked Inference with Unreliable Data Sources - Aditya Vempaty; Bhavya Kailkhura; Pramod K. Varshney (Springer, 2018)

Assessing National Development Plans for Alignment With Sustainable Development Goals via Semantic Search. - Jonathan Galsurkar; Moninder Singh; Lingfei Wu 001; Aditya Vempaty; Mikhail Sushkov; Devika Iyer; Serge Kapto; Kush R. Varshney (AAAI, 2018)

Data-Driven Job Capability Profiling. - Rong Liu; Bhavna Agrawal; Aditya Vempaty; Wanita Sherchan; Sherry Sin; Michael Tan (AIED (2), 2018)

Human-Machine Inference Networks for Smart Decision Making: Opportunities and Challenges. - Aditya Vempaty; Bhavya Kailkhura; Pramod K. Varshney (ICASSP, 2018)

Research Questions to Support Conversational Learning in the Era of Ubiquitous, Mobile Agents. - Bob Schloss; Maria D. Chang; Aditya Vempaty; Arup Acharya; Ravindranath Kokku; Lorin Wilde; Nirmal Mukhi (ICLS, 2018)

Supporting Multiple Learning Experiences on a Childhood Vocabulary Tutoring Platform. - Aditya Vempaty; Tamer Abuelsaad; Allison Allain; Ravi Kokku (ITS, 2018)

Design and Evaluation of a Tutor Platform for Personalized Vocabulary Learning. - Ravi Kokku; Aditya Vempaty; Tamer Abuelsaad; Prasenjit Dey; Tammy Humphrey; Akimi Gibson; Jennifer Kotler (CoRR, 2018)

Received-Signal-Strength-Based Localization in Wireless Sensor Networks. - Ruixin Niu; Aditya Vempaty; Pramod K. Varshney (Proc. IEEE, 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)

Content Customization for Micro Learning using Human Augmented AI Techniques. - Ayush Shah; Tamer Abuelsaad; Jae-wook Ahn; Prasenjit Dey; Ravi Kokku; Ruhi Sharma Mittal; Aditya Vempaty; Mourvi Sharma (BEA@ACL, 2019)

Modeling of human information processing in hard-soft fusion (Poster). - Aditya Vempaty (FUSION, 2019)

Mixed Compensation Multidimensional Item Response Theory. - Béatrice Moissinac; Aditya Vempaty (ITS, 2020)

Voice Privacy with Smart Digital Assistants in Educational Settings. - Mohammad Niknazar; Aditya Vempaty; Ravi Kokku (ITS, 2021)

Automating Question Generation From Educational Text. - Ayan Kumar Bhowmick; Ashish Jagmohan; Aditya Vempaty; Prasenjit Dey; Leigh Hall; Jeremy Hartman; Ravi Kokku; Hema Maheshwari (SGAI Conf., 2023)

Better RAG using Relevant Information Gain. - Marc Pickett; Jeremy Hartman; Ayan Kumar Bhowmick; Raquib-ul Alam; Aditya Vempaty (CoRR, 2024)

Agent-E: From Autonomous Web Navigation to Foundational Design Principles in Agentic Systems. - Tamer Abuelsaad; Deepak Akkil; Prasenjit Dey; Ashish Jagmohan; Aditya Vempaty; Ravi Kokku (CoRR, 2024)

MathViz-E: A Case-study in Domain-Specialized Tool-Using Agents. - Arya Bulusu; Brandon Man; Ashish Jagmohan; Aditya Vempaty; Jennifer Mari-Wyka; Deepak Akkil (CoRR, 2024)

Building a Domain-specific Guardrail Model in Production. - Mohammad Niknazar; Paul V. Haley; Latha Ramanan; Sang T. Truong; Yedendra Shrinivasan; Ayan Kumar Bhowmick; Prasenjit Dey; Ashish Jagmohan; Hema Maheshwari; Shom Ponoth; Robert Smith; Aditya Vempaty; et al. (CoRR, 2024)

Leveraging the Power of LLMs: A Fine-Tuning Approach for High-Quality Aspect-Based Summarization. - Ankan Mullick; Sombit Bose; Rounak Saha; Ayan Kumar Bhowmick; Aditya Vempaty; Pawan Goyal 002; Niloy Ganguly; Prasenjit Dey; Ravi Kokku (CoRR, 2024)

SEAL: Suite for Evaluating API-use of LLMs. - Woojeong Kim; Ashish Jagmohan; Aditya Vempaty (CoRR, 2024)

Multimodal Auto Validation For Self-Refinement in Web Agents. - Ruhana Azam; Tamer Abuelsaad; Aditya Vempaty; Ashish Jagmohan (CoRR, 2024)

Learning API Functionality from Demonstrations for Tool-based Agents. - Bhrij Patel; Ashish Jagmohan; Aditya Vempaty (CoRR, 2025)

Reflection-Based Memory For Web navigation Agents. - Ruhana Azam; Aditya Vempaty; Ashish Jagmohan (CoRR, 2025)