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2020 – today
- 2024
[i16]Marc Pickett, Jeremy Hartman, Ayan Kumar Bhowmick, Raquib-ul Alam, Aditya Vempaty:
Better RAG using Relevant Information Gain. CoRR abs/2407.12101 (2024)- [i15]Tamer Abuelsaad, Deepak Akkil, Prasenjit Dey, Ashish Jagmohan, Aditya Vempaty, Ravi Kokku:
Agent-E: From Autonomous Web Navigation to Foundational Design Principles in Agentic Systems. CoRR abs/2407.13032 (2024) - [i14]Arya Bulusu, Brandon Man, Ashish Jagmohan, Aditya Vempaty, Jennifer Mari-Wyka, Deepak Akkil:
MathViz-E: A Case-study in Domain-Specialized Tool-Using Agents. CoRR abs/2407.17544 (2024) - [i13]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, Nick Haber, Sanmi Koyejo, Sharad Sundararajan:
Building a Domain-specific Guardrail Model in Production. CoRR abs/2408.01452 (2024) - [i12]Ankan Mullick, Sombit Bose, Rounak Saha, Ayan Kumar Bhowmick, Aditya Vempaty, Pawan Goyal, Niloy Ganguly, Prasenjit Dey, Ravi Kokku:
Leveraging the Power of LLMs: A Fine-Tuning Approach for High-Quality Aspect-Based Summarization. CoRR abs/2408.02584 (2024) - [i11]Woojeong Kim, Ashish Jagmohan, Aditya Vempaty:
SEAL: Suite for Evaluating API-use of LLMs. CoRR abs/2409.15523 (2024) - [i10]Ruhana Azam, Tamer Abuelsaad, Aditya Vempaty, Ashish Jagmohan:
Multimodal Auto Validation For Self-Refinement in Web Agents. CoRR abs/2410.00689 (2024) - 2023
- [c28]Ayan Kumar Bhowmick, Ashish Jagmohan, Aditya Vempaty, Prasenjit Dey, Leigh Hall, Jeremy Hartman, Ravi Kokku, Hema Maheshwari:
Automating Question Generation From Educational Text. SGAI Conf. 2023: 437-450 - [i9]Ayan Kumar Bhowmick, Ashish Jagmohan, Aditya Vempaty, Prasenjit Dey, Leigh Hall, Jeremy Hartman, Ravi Kokku, Hema Maheshwari:
Automating question generation from educational text. CoRR abs/2309.15004 (2023) - 2021
- [c27]Mohammad Niknazar
, Aditya Vempaty, Ravi Kokku:
Voice Privacy with Smart Digital Assistants in Educational Settings. ITS 2021: 286-290 - [i8]Mohammad Niknazar, Aditya Vempaty, Ravi Kokku:
Voice Privacy with Smart Digital Assistants in Educational Settings. CoRR abs/2104.11038 (2021) - 2020
- [c26]Béatrice Moissinac, Aditya Vempaty:
Mixed Compensation Multidimensional Item Response Theory. ITS 2020: 132-141
2010 – 2019
- 2019
- [c25]Ayush Shah, Tamer Abuelsaad, Jae-wook Ahn, Prasenjit Dey, Ravi Kokku, Ruhi Sharma Mittal, Aditya Vempaty, Mourvi Sharma:
Content Customization for Micro Learning using Human Augmented AI Techniques. BEA@ACL 2019: 326-335 - [c24]Aditya Vempaty:
Modeling of human information processing in hard-soft fusion (Poster). FUSION 2019: 1-6 - 2018
- [b1]Aditya Vempaty, Bhavya Kailkhura, Pramod K. Varshney:
Secure Networked Inference with Unreliable Data Sources. Springer 2018, ISBN 978-981-13-2311-9, pp. 1-208 - [j13]Ruixin Niu, Aditya Vempaty, Pramod K. Varshney:
Received-Signal-Strength-Based Localization in Wireless Sensor Networks. Proc. IEEE 106(7): 1166-1182 (2018) - [j12]Aditya Vempaty, Lav R. Varshney, Gregory J. Koop, Amy H. Criss, Pramod K. Varshney:
Experiments and Models for Decision Fusion by Humans in Inference Networks. IEEE Trans. Signal Process. 66(11): 2960-2971 (2018) - [c23]Jonathan Galsurkar, Moninder Singh, Lingfei Wu, Aditya Vempaty, Mikhail Sushkov, Devika Iyer, Serge Kapto, Kush R. Varshney:
Assessing National Development Plans for Alignment With Sustainable Development Goals via Semantic Search. AAAI 2018: 7753-7758 - [c22]Rong Liu, Bhavna Agrawal, Aditya Vempaty, Wanita Sherchan, Sherry Sin, Michael Tan:
Data-Driven Job Capability Profiling. AIED (2) 2018: 187-192 - [c21]Aditya Vempaty, Bhavya Kailkhura, Pramod K. Varshney:
Human-Machine Inference Networks for Smart Decision Making: Opportunities and Challenges. ICASSP 2018: 6961-6965 - [c20]Bob Schloss, Maria D. Chang, Aditya Vempaty, Arup Acharya, Ravindranath Kokku, Lorin Wilde, Nirmal Mukhi:
Research Questions to Support Conversational Learning in the Era of Ubiquitous, Mobile Agents. ICLS 2018 - [c19]Aditya Vempaty, Tamer Abuelsaad, Allison Allain, Ravi Kokku:
Supporting Multiple Learning Experiences on a Childhood Vocabulary Tutoring Platform. ITS 2018: 392-398 - [i7]Aditya Vempaty, Bhavya Kailkhura, Pramod K. Varshney:
Human-Machine Inference Networks For Smart Decision Making: Opportunities and Challenges. CoRR abs/1801.09626 (2018) - [i6]Ravi Kokku, Aditya Vempaty, Tamer Abuelsaad, Prasenjit Dey, Tammy Humphrey, Akimi Gibson, Jennifer Kotler:
Design and Evaluation of a Tutor Platform for Personalized Vocabulary Learning. CoRR abs/1807.03224 (2018) - 2017
- [j11]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, Kush R. Varshney:
Effectiveness of peer detailing in a diarrhea program in Nigeria. IBM J. Res. Dev. 61(6): 1:1-1:12 (2017) - [j10]Qunwei Li, Aditya Vempaty, Lav R. Varshney, Pramod K. Varshney:
Multi-Object Classification via Crowdsourcing With a Reject Option. IEEE Trans. Signal Process. 65(4): 1068-1081 (2017) - [c18]Yumeng Tao, Debarun Bhattacharjya, Aliza R. Heching, Aditya Vempaty, Moninder Singh, Felix Lam, Kush R. Varshney, Aleksandra Mojsilovic:
Statistical Analysis of Peer Detailing for Children's Diarrhea Treatments. AAAI Spring Symposia 2017 - [c17]Prashant Khanduri, Aditya Vempaty, Pramod K. Varshney:
A unified diversity measure for distributed inference. ICASSP 2017: 3934-3938 - [c16]Shan Zhang, Aditya Vempaty, Susan E. Parks, Pramod K. Varshney:
On classification of environmental acoustic data using crowds. ICASSP 2017: 5880-5884 - 2016
- [c15]Matthew Riemer, Aditya Vempaty, Flávio P. Calmon, Fenno F. Terry Heath III, Richard Hull, Elham Khabiri:
Correcting Forecasts with Multifactor Neural Attention. ICML 2016: 3010-3019 - [i5]Qunwei Li, Aditya Vempaty, Lav R. Varshney, Pramod K. Varshney:
Multi-object Classification via Crowdsourcing with a Reject Option. CoRR abs/1602.00575 (2016) - 2015
- [j9]Aditya Vempaty, Lav R. Varshney:
The Non-Regular CEO Problem. IEEE Trans. Inf. Theory 61(5): 2764-2775 (2015) - [j8]Bhavya Kailkhura, Aditya Vempaty, Pramod K. Varshney:
Distributed Inference in Tree Networks Using Coding Theory. IEEE Trans. Signal Process. 63(14): 3715-3726 (2015) - [c14]Sijia Liu, Feishe Chen, Aditya Vempaty, Makan Fardad, Lixin Shen, Pramod K. Varshney:
Sparsity-promoting sensor management for estimation: An energy balance point of view. FUSION 2015: 231-238 - [c13]Aditya Vempaty, Lav R. Varshney, Gregory J. Koop, Amy H. Criss, Pramod K. Varshney:
Decision fusion by people: Experiments, models, and sociotechnical system design. GlobalSIP 2015: 83-87 - [c12]Aditya Vempaty, Lav R. Varshney:
CEO problem for belief sharing. ITW 2015: 1-5 - 2014
- [j7]Aditya Vempaty, Lav R. Varshney, Pramod K. Varshney:
Reliable Crowdsourcing for Multi-Class Labeling Using Coding Theory. IEEE J. Sel. Top. Signal Process. 8(4): 667-679 (2014) - [j6]Sijia Liu, Aditya Vempaty, Makan Fardad, Engin Masazade, Pramod K. Varshney:
Energy-Aware Sensor Selection in Field Reconstruction. IEEE Signal Process. Lett. 21(12): 1476-1480 (2014) - [j5]Aditya Vempaty, Priyadip Ray, Pramod K. Varshney:
False discovery rate based distributed detection in the presence of Byzantines. IEEE Trans. Aerosp. Electron. Syst. 50(3): 1826-1840 (2014) - [j4]Aditya Vempaty, Yunghsiang S. Han, Pramod K. Varshney:
Target Localization in Wireless Sensor Networks Using Error Correcting Codes. IEEE Trans. Inf. Theory 60(1): 697-712 (2014) - [j3]Aditya Vempaty, Hao He, Biao Chen, Pramod K. Varshney:
On Quantizer Design for Distributed Bayesian Estimation in Sensor Networks. IEEE Trans. Signal Process. 62(20): 5359-5369 (2014) - [c11]Aditya Vempaty, Yunghsiang S. Han, Lav R. Varshney, Pramod K. Varshney:
Coding theory for reliable signal processing. ICNC 2014: 200-205 - [c10]Lav R. Varshney, Aditya Vempaty, Pramod K. Varshney:
Assuring privacy and reliability in crowdsourcing with coding. ITA 2014: 1-6 - [i4]Bhavya Kailkhura, Aditya Vempaty, Pramod K. Varshney:
Distributed Inference in Tree Networks using Coding Theory. CoRR abs/1407.7150 (2014) - [i3]Aditya Vempaty, Hao He, Biao Chen, Pramod K. Varshney:
On Quantizer Design for Distributed Bayesian Estimation in Sensor Networks. CoRR abs/1407.7152 (2014) - [i2]Aditya Vempaty, Lav R. Varshney:
The Non-Regular CEO Problem. CoRR abs/1408.0573 (2014) - 2013
- [j2]Aditya Vempaty, Lang Tong, Pramod K. Varshney:
Distributed Inference with Byzantine Data: State-of-the-Art Review on Data Falsification Attacks. IEEE Signal Process. Mag. 30(5): 65-75 (2013) - [j1]Aditya Vempaty, Onur Ozdemir, Keshav Agrawal, Hao Chen, Pramod K. Varshney:
Localization in Wireless Sensor Networks: Byzantines and Mitigation Techniques. IEEE Trans. Signal Process. 61(6): 1495-1508 (2013) - [c9]Aditya Vempaty, Onur Ozdemir, Pramod K. Varshney:
Target tracking in Wireless Sensor Networks in the presence of Byzantines. FUSION 2013: 968-973 - [c8]Aditya Vempaty, Biao Chen, Pramod K. Varshney:
Optimal quantizers for distributed Bayesian estimation. ICASSP 2013: 4893-4897 - [c7]Aditya Vempaty, Yunghsiang S. Han, Pramod K. Varshney:
Target localization in Wireless Sensor Networks using error correcting codes in the presence of Byzantines. ICASSP 2013: 5195-5199 - [c6]Aditya Vempaty, Lav R. Varshney, Pramod K. Varshney:
Reliable classification by unreliable crowds. ICASSP 2013: 5558-5562 - [c5]Aditya Vempaty, V. Sriram Siddhardh Nadendla, Pramod K. Varshney:
Further results on noise-enhanced distributed inference in the presence of Byzantines. WPMC 2013: 1-5 - [i1]Aditya Vempaty, Lav R. Varshney, Pramod K. Varshney:
Reliable Crowdsourcing for Multi-Class Labeling using Coding Theory. CoRR abs/1309.3330 (2013) - 2012
- [c4]Aditya Vempaty, Onur Ozdemir, Pramod K. Varshney:
Mitigation of Byzantine attacks for target location estimation in wireless sensor networks. CISS 2012: 1-6 - 2011
- [c3]Keshav Agrawal, Aditya Vempaty, Hao Chen, Pramod K. Varshney:
Target localization in Wireless Sensor Networks with quantized data in the presence of Byzantine attacks. ACSCC 2011: 1669-1673 - [c2]Mukul Gagrani, Pranay Sharma, Satish G. Iyengar, V. Sriram Siddhardh Nadendla, Aditya Vempaty, Hao Chen, Pramod K. Varshney:
On noise-enhanced distributed inference in the presence of Byzantines. Allerton 2011: 1222-1229 - [c1]Aditya Vempaty, Keshav Agrawal, Hao Chen, Pramod K. Varshney:
Adaptive learning of Byzantines' behavior in cooperative spectrum sensing. WCNC 2011: 1310-1315
Coauthor Index
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last updated on 2024-11-06 20:29 CET by the dblp team
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