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Author search results
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- P. Vijayaraghavan
aka: Purushothaman Vijayaraghavan
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Publication search results
found 201 matches
- 2024
- Uma E., Mala T., Geetha A. V., Priyanka D.:
A comprehensive survey of drug-target interaction analysis in allopathy and siddha medicine. Artif. Intell. Medicine 157: 102986 (2024) - Geetha Vijayaraghavan, Mala T., Priyanka D., Uma E.:
Multimodal Emotion Recognition with Deep Learning: Advancements, challenges, and future directions. Inf. Fusion 105: 102218 (2024) - Arled Papa, Jörg von Mankowski, Hansini Vijayaraghavan, Babak Mafakheri, Leonardo Goratti, Wolfgang Kellerer:
Enabling 6G Applications in the Sky: Aeronautical Federation Framework. IEEE Netw. 38(1): 254-261 (2024) - Vijayaraghavan Murali, Chandra Shekhar Maddila, Imad Ahmad, Michael Bolin, Daniel Cheng, Negar Ghorbani, Renuka Fernandez, Nachiappan Nagappan, Peter C. Rigby:
AI-Assisted Code Authoring at Scale: Fine-Tuning, Deploying, and Mixed Methods Evaluation. Proc. ACM Softw. Eng. 1(FSE): 1066-1085 (2024) - Luyao Shi, Prashanth Vijayaraghavan, Ehsan Degan:
Data-free Model Fusion with Generator Assistants. CVPR Workshops 2024: 7731-7739 - Ainesh Bakshi, Pravesh K. Kothari, Goutham Rajendran, Madhur Tulsiani, Aravindan Vijayaraghavan:
Efficient Certificates of Anti-Concentration Beyond Gaussians. FOCS 2024: 970-987 - Prashanth Vijayaraghavan, Apoorva Nitsure, Charles Mackin, Luyao Shi, Stefano Ambrogio, Arvind Haran, Viresh Paruthi, Ali El-Zein, Dan Coops, David Beymer, Tyler Baldwin, Ehsan Degan:
Chain-of-Descriptions: Improving Code LLMs for VHDL Code Generation and Summarization. MLCAD 2024: 28:1-28:10 - Prashanth Vijayaraghavan, Hongzhi Wang, Luyao Shi, Tyler Baldwin, David Beymer, Ehsan Degan:
Self-Regulated Data-Free Knowledge Amalgamation for Text Classification. NAACL (Industry Track) 2024: 491-502 - Omer Dunay, Daniel Cheng, Adam Tait, Parth Thakkar, Peter C. Rigby, Andy Chiu, Imad Ahmad, Arun Ganesan, Chandra Shekhar Maddila, Vijayaraghavan Murali, Ali Tayyebi, Nachiappan Nagappan:
Multi-line AI-Assisted Code Authoring. SIGSOFT FSE Companion 2024: 150-160 - Omer Dunay, Daniel Cheng, Adam Tait, Parth Thakkar, Peter C. Rigby, Andy Chiu, Imad Ahmad, Arun Ganesan, Chandra Shekhar Maddila, Vijayaraghavan Murali, Ali Tayyebi, Nachiappan Nagappan:
Multi-line AI-assisted Code Authoring. CoRR abs/2402.04141 (2024) - Prasanna Vijayaraghavan, Jeffrey Frederic Queißer, Sergio Verduzco Flores, Jun Tani:
Development of Compositionality and Generalization through Interactive Learning of Language and Action of Robots. CoRR abs/2403.19995 (2024) - Sairamvinay Vijayaraghavan, Prasant Mohapatra:
Stability of Explainable Recommendation. CoRR abs/2405.01849 (2024) - Sairamvinay Vijayaraghavan, Prasant Mohapatra:
Robust Explainable Recommendation. CoRR abs/2405.01855 (2024) - Ainesh Bakshi, Pravesh Kothari, Goutham Rajendran, Madhur Tulsiani, Aravindan Vijayaraghavan:
Efficient Certificates of Anti-Concentration Beyond Gaussians. CoRR abs/2405.15084 (2024) - Prashanth Vijayaraghavan, Luyao Shi, Stefano Ambrogio, Charles Mackin, Apoorva Nitsure, David Beymer, Ehsan Degan:
VHDL-Eval: A Framework for Evaluating Large Language Models in VHDL Code Generation. CoRR abs/2406.04379 (2024) - Prashanth Vijayaraghavan, Hongzhi Wang, Luyao Shi, Tyler Baldwin, David Beymer, Ehsan Degan:
Self-Regulated Data-Free Knowledge Amalgamation for Text Classification. CoRR abs/2406.15476 (2024) - Prashanth Vijayaraghavan, Luyao Shi, Ehsan Degan, Xin Zhang:
CIRCUITSYNTH: Leveraging Large Language Models for Circuit Topology Synthesis. CoRR abs/2407.10977 (2024) - Chandra Shekhar Maddila, Negar Ghorbani, Kosay Jabre, Vijayaraghavan Murali, Edwin Kim, Parth Thakkar, Nikolay Pavlovich Laptev, Olivia Harman, Diana Hsu, Rui Abreu, Peter C. Rigby:
AI-Assisted SQL Authoring at Industry Scale. CoRR abs/2407.13280 (2024) - Rui Abreu, Vijayaraghavan Murali, Peter C. Rigby, Chandra Shekhar Maddila, Weiyan Sun, Jun Ge, Kaavya Chinniah, Audris Mockus, Megh Mehta, Nachiappan Nagappan:
Moving Faster and Reducing Risk: Using LLMs in Release Deployment. CoRR abs/2410.06351 (2024) - 2023
- Joshua Forrest, Vijay Rajagopal, Michael P. H. Stumpf, Michael Pan:
BondGraphs.jl: composable energy-based modelling in systems biology. Bioinform. 39(10) (2023) - Carolina Peixoto, Marta B. Lopes, Marta Martins, Sandra Casimiro, Daniel Sobral, Ana Rita Grosso, Catarina Abreu, Daniela Macedo, Ana Lúcia Costa, Helena Pais, Cecília Alvim, André Mansinho, Pedro Filipe, Pedro Marques da Costa, Afonso Fernandes, Paula Borralho, Cristina Ferreira, João Malaquias, António Quintela, Shannon Kaplan, Mahdi Golkaram, Michael Salmans, Nafeesa Khan, Raakhee Vijayaraghavan, Shile Zhang, Traci Pawlowski, Jim Godsey, Alex So, Li Liu, Luís Costa, Susana Vinga:
Identification of biomarkers predictive of metastasis development in early-stage colorectal cancer using network-based regularization. BMC Bioinform. 24(1): 17 (2023) - Jörg von Mankowski, Emre Durmaz, Arled Papa, Hansini Vijayaraghavan, Wolfgang Kellerer:
Aerial-Aided Multiaccess Edge Computing: Dynamic and Joint Optimization of Task and Service Placement and Routing in Multilayer Networks. IEEE Trans. Aerosp. Electron. Syst. 59(3): 2593-2607 (2023) - Prashanth Vijayaraghavan, Deb Roy:
M-sense: Modeling Narrative Structure in Short Personal Narratives Using Protagonist's Mental Representations. AAAI 2023: 13664-13672 - Yuqing Wang, Prashanth Vijayaraghavan, Ehsan Degan:
PROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction. EMNLP (Industry Track) 2023: 202-215 - C. Nithya Prabha, D. Kalaivani, T. Vijayaraghavan:
Energy Efficient Structure-Free Data Aggregation and Delivery in WSN: A Design Thinking Approach. IC3I 2023: 391-396 - Pranjal Awasthi, Alex Tang, Aravindan Vijayaraghavan:
Agnostic Learning of General ReLU Activation Using Gradient Descent. ICLR 2023 - Sairamvinay Vijayaraghavan, Prasant Mohapatra:
Stability of Explainable Recommendation. RecSys 2023: 947-954 - Prashanth Vijayaraghavan, Deb Roy:
M-SENSE: Modeling Narrative Structure in Short Personal Narratives Using Protagonist's Mental Representations. CoRR abs/2302.09418 (2023) - Yuqing Wang, Prashanth Vijayaraghavan, Ehsan Degan:
PROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction. CoRR abs/2310.16753 (2023) - 2022
- Aditya Bhaskara, Aidao Chen, Aidan Perreault, Aravindan Vijayaraghavan:
Smoothed analysis for tensor methods in unsupervised learning. Math. Program. 193(2): 549-599 (2022)
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