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Publication search results
found 52 matches
- 2024
- Sudarshan S. Harithas, Gurkirat Singh, Aneesh Chavan, Sarthak Sharma, Suraj Patni, Chetan Arora, K. Madhava Krishna:
FinderNet: A Data Augmentation Free Canonicalization aided Loop Detection and Closure technique for Point clouds in 6-DOF separation. WACV 2024: 8384-8393 - 2023
- Ashwyn Sharma, David I. Feldman, Aneesh Jain:
Team Cadence at MEDIQA-Chat 2023: Generating, augmenting and summarizing clinical dialogue with large language models. ClinicalNLP@ACL 2023: 228-235 - Haotian Ju, Dongyue Li, Aneesh Sharma, Hongyang R. Zhang:
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion. AISTATS 2023: 6314-6341 - Arnav Sharma, Subhanjali Sharma, Utkarsh Bhardwaj, Sajib Mistry, Novarun Deb, Aneesh Krishna:
COVID-19 Fake News Detection Using Cross-Domain Classification Techniques. AI (1) 2023: 507-519 - Joren Regan, Chaki Ramesh, Saurabh Gupta, Ankur Sharma, Duc-Son Pham, Aneesh Krishna:
Semantic Segmentation for Improved Cell Nuclei Analysis. DICTA 2023: 73-80 - Dongyue Li, Haotian Ju, Aneesh Sharma, Hongyang R. Zhang:
Boosting Multitask Learning on Graphs through Higher-Order Task Affinities. KDD 2023: 1213-1222 - Haotian Ju, Dongyue Li, Aneesh Sharma, Hongyang R. Zhang:
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion. CoRR abs/2302.04451 (2023) - Sudarshan S. Harithas, Gurkirat Singh, Aneesh Chavan, Sarthak Sharma, Suraj Patni, Chetan Arora, K. Madhava Krishna:
FinderNet: A Data Augmentation Free Canonicalization aided Loop Detection and Closure technique for Point clouds in 6-DOF separation. CoRR abs/2304.01074 (2023) - Dongyue Li, Haotian Ju, Aneesh Sharma, Hongyang R. Zhang:
Boosting Multitask Learning on Graphs through Higher-Order Task Affinities. CoRR abs/2306.14009 (2023) - Subhankar Ghosh, Shuai An, Arun Sharma, Jayant Gupta, Shashi Shekhar, Aneesh Subramanian:
Reducing Uncertainty in Sea-level Rise Prediction: A Spatial-variability-aware Approach. CoRR abs/2310.15179 (2023) - Ashwyn Sharma, David I. Feldman, Aneesh Jain:
Fine-tuning pre-trained extractive QA models for clinical document parsing. CoRR abs/2312.02314 (2023) - 2022
- Dong-Hyun Je, Aneesh Deshmukh, Sunwoo Cho, Dongmyoung Kim, Neha Sharma, Jungsoo Jung, Juho Lee, Sunghyun Choi:
Selective User Plane (UP) Security for Throughput Enhancement in Mobile Communication. GLOBECOM (Workshops) 2022: 1194-1199 - Andrew Stolman, Caleb Levy, C. Seshadhri, Aneesh Sharma:
Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community Labeling. SDM 2022: 388-396 - Andrew Stolman, Caleb Levy, C. Seshadhri, Aneesh Sharma:
Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community Labeling. CoRR abs/2201.08481 (2022) - 2021
- Aneesh G. Nath, Anshul Sharma, Sandeep S. Udmale, Sanjay Kumar Singh:
An Early Classification Approach for Improving Structural Rotor Fault Diagnosis. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - Vriddhi Vriddhi, Joy Sen, Aneesha Sharma:
Design Cognition while using digital tools: A Distributed Cognition Approach. ICDTE 2021: 30-39 - 2020
- C. Seshadhri, Aneesh Sharma, Andrew Stolman, Ashish Goel:
The impossibility of low-rank representations for triangle-rich complex networks. Proc. Natl. Acad. Sci. USA 117(11): 5631-5637 (2020) - Piyush Kumar Sharma, Devashish Gosain, Himanshu Sagar, Chaitanya Kumar, Aneesh Dogra, Vinayak Naik, Hrishikesh B. Acharya, Sambuddho Chakravarty:
SiegeBreaker: An SDN Based Practical Decoy Routing System. Proc. Priv. Enhancing Technol. 2020(3): 243-263 (2020) - Jessica Su, Krishna Kamath, Aneesh Sharma, Johan Ugander, Sharad Goel:
An Experimental Study of Structural Diversity in Social Networks. ICWSM 2020: 661-670 - Cyrus Rashtchian, Aneesh Sharma, David P. Woodruff:
LSF-Join: Locality Sensitive Filtering for Distributed All-Pairs Set Similarity Under Skew. WWW 2020: 2998-3004 - Cyrus Rashtchian, Aneesh Sharma, David P. Woodruff:
LSF-Join: Locality Sensitive Filtering for Distributed All-Pairs Set Similarity Under Skew. CoRR abs/2003.02972 (2020) - C. Seshadhri, Aneesh Sharma, Andrew Stolman, Ashish Goel:
The impossibility of low rank representations for triangle-rich complex networks. CoRR abs/2003.12635 (2020) - 2019
- Jessica Su, Krishna Kamath, Aneesh Sharma, Johan Ugander, Sharad Goel:
An Experimental Study of Structural Diversity in Social Networks. CoRR abs/1909.03543 (2019) - 2017
- Rahmtin Rotabi, Krishna Kamath, Jon M. Kleinberg, Aneesh Sharma:
Cascades: A View from Audience. WWW 2017: 587-596 - Rahmtin Rotabi, Krishna Kamath, Jon M. Kleinberg, Aneesh Sharma:
Detecting Strong Ties Using Network Motifs. WWW (Companion Volume) 2017: 983-992 - Aneesh Sharma, C. Seshadhri, Ashish Goel:
When Hashes Met Wedges: A Distributed Algorithm for Finding High Similarity Vectors. WWW 2017: 431-440 - Rahmtin Rotabi, Krishna Kamath, Jon M. Kleinberg, Aneesh Sharma:
Cascades: A view from Audience. CoRR abs/1702.06673 (2017) - Rahmtin Rotabi, Krishna Kamath, Jon M. Kleinberg, Aneesh Sharma:
Detecting Strong Ties Using Network Motifs. CoRR abs/1702.07390 (2017) - Aneesh Sharma, C. Seshadhri, Ashish Goel:
When Hashes Met Wedges: A Distributed Algorithm for Finding High Similarity Vectors. CoRR abs/1703.01054 (2017) - 2016
- Aneesh Sharma, Jerry Jiang, Praveen Bommannavar, Brian Larson, Jimmy Lin:
GraphJet: Real-Time Content Recommendations at Twitter. Proc. VLDB Endow. 9(13): 1281-1292 (2016)
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