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2020 – today
- 2024
[c36]Kiran Purohit, Soumi Das, Sourangshu Bhattacharya, Santu Rana:
A Data-Driven Defense Against Edge-Case Model Poisoning Attacks on Federated Learning. ECAI 2024: 2162-2169- [c35]Kiran Purohit, Venktesh V, Raghuram Devalla, Krishna Yerragorla, Sourangshu Bhattacharya, Avishek Anand:
EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning. EMNLP 2024: 5367-5388 - [i24]Soumi Das, Shubhadip Nag, Shreyyash Sharma, Suparna Bhattacharya, Sourangshu Bhattacharya:
VTruST: Controllable value function based subset selection for Data-Centric Trustworthy AI. CoRR abs/2403.05174 (2024) - [i23]Kiran Purohit, Anurag Reddy Parvathgari, Sourangshu Bhattacharya:
A Greedy Hierarchical Approach to Whole-Network Filter-Pruning in CNNs. CoRR abs/2409.03777 (2024) - 2023
- [j12]Paramita Koley
, Aurghya Maiti, Sourangshu Bhattacharya, Niloy Ganguly:
Offsetting Unequal Competition Through RL-Assisted Incentive Schemes. IEEE Trans. Comput. Soc. Syst. 10(1): 285-296 (2023) - [c34]Paramita Koley, Harshavardhan Alimi, Shrey Singla, Sourangshu Bhattacharya, Niloy Ganguly, Abir De:
Differentiable Change-point Detection With Temporal Point Processes. AISTATS 2023: 6940-6955 - [i22]Paramita Koley, Aurghya Maiti, Niloy Ganguly, Sourangshu Bhattacharya:
Opponent-aware Role-based Learning in Team Competitive Markov Games. CoRR abs/2301.05873 (2023) - [i21]Kiran Purohit, Soumi Das, Sourangshu Bhattacharya, Santu Rana:
LearnDefend: Learning to Defend against Targeted Model-Poisoning Attacks on Federated Learning. CoRR abs/2305.02022 (2023) - [i20]Venktesh V, Sourangshu Bhattacharya, Avishek Anand:
In-Context Ability Transfer for Question Decomposition in Complex QA. CoRR abs/2310.18371 (2023) - 2022
- [j11]Chandan Misra, Sourangshu Bhattacharya, Soumya K. Ghosh:
Stark: Fast and Scalable Strassen's Matrix Multiplication Using Apache Spark. IEEE Trans. Big Data 8(3): 699-710 (2022) - [j10]Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De:
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes. ACM Trans. Intell. Syst. Technol. 13(6): 103:1-103:26 (2022) - [c33]Kiran Purohit, Anurag Parvathgari, Soumi Das, Sourangshu Bhattacharya:
Accurate and Efficient Channel pruning via Orthogonal Matching Pursuit. AIMLSystems 2022: 16:1-16:8 - [c32]Rajdeep Mukherjee, Uppada Vishnu, Hari Chandana Peruri, Sourangshu Bhattacharya, Koustav Rudra, Pawan Goyal, Niloy Ganguly:
MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs. WSDM 2022: 755-763 - [c31]Sk Mainul Islam, Sourangshu Bhattacharya:
AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal Explanations. WWW 2022: 987-998 - [i19]Paramita Koley, Aurghya Maiti, Sourangshu Bhattacharya, Niloy Ganguly:
Offsetting Unequal Competition through RL-assisted Incentive Schemes. CoRR abs/2201.01450 (2022) - [i18]Soumi Das, Manasvi Sagarkar, Suparna Bhattacharya, Sourangshu Bhattacharya:
CheckSel: Efficient and Accurate Data-valuation Through Online Checkpoint Selection. CoRR abs/2203.06814 (2022) - [i17]Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De:
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes. CoRR abs/2206.12414 (2022) - 2021
- [j9]Paramita Koley, Avirup Saha, Sourangshu Bhattacharya, Niloy Ganguly, Abir De:
Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach. ACM Trans. Knowl. Discov. Data 15(6): 99:1-99:25 (2021) - [c30]Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De:
Learning Temporal Point Processes with Intermittent Observations. AISTATS 2021: 3790-3798 - [c29]Rajdeep Mukherjee, Tapas Nayak, Yash Butala, Sourangshu Bhattacharya, Pawan Goyal:
PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction. EMNLP (1) 2021: 9279-9291 - [c28]Soumi Das, Harikrishna Patibandla, Suparna Bhattacharya, Kshounis Bera, Niloy Ganguly, Sourangshu Bhattacharya:
TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving. ICCV 2021: 6321-6330 - [c27]Soumi Das, Arshdeep Singh, Saptarshi Chatterjee, Suparna Bhattacharya, Sourangshu Bhattacharya:
Finding High-Value Training Data Subset Through Differentiable Convex Programming. ECML/PKDD (2) 2021: 666-681 - [i16]Paramita Koley, Avirup Saha, Sourangshu Bhattacharya, Niloy Ganguly, Abir De:
Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach. CoRR abs/2102.05954 (2021) - [i15]Soumi Das, Harikrishna Patibandla, Suparna Bhattacharya, Kshounis Bera, Niloy Ganguly, Sourangshu Bhattacharya:
Convex Online Video Frame Subset Selection using Multiple Criteria for Data Efficient Autonomous Driving. CoRR abs/2103.13021 (2021) - [i14]Soumi Das, Arshdeep Singh, Saptarshi Chatterjee, Suparna Bhattacharya, Sourangshu Bhattacharya:
Finding High-Value Training Data Subset through Differentiable Convex Programming. CoRR abs/2104.13794 (2021) - [i13]Sk Mainul Islam, Sourangshu Bhattacharya:
Scalable End-to-End Training of Knowledge Graph-Enhanced Aspect Embedding for Aspect Level Sentiment Analysis. CoRR abs/2108.11656 (2021) - [i12]Rajdeep Mukherjee, Tapas Nayak, Yash Butala, Sourangshu Bhattacharya, Pawan Goyal:
PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction. CoRR abs/2110.04794 (2021) - [i11]Rajdeep Mukherjee, Uppada Vishnu, Hari Chandana Peruri, Sourangshu Bhattacharya, Koustav Rudra, Pawan Goyal, Niloy Ganguly:
MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs. CoRR abs/2112.05798 (2021) - 2020
- [j8]Chandan Misra, Sourangshu Bhattacharya, Soumya K. Ghosh:
A fast scalable distributed kriging algorithm using Spark framework. Int. J. Data Sci. Anal. 10(3): 249-264 (2020) - [j7]Soumi Das, Sayan Mandal, Ashwin Bhoyar, Madhumita Bharde, Niloy Ganguly, Suparna Bhattacharya, Sourangshu Bhattacharya:
Multi-criteria online frame-subset selection for autonomous vehicle videos. Pattern Recognit. Lett. 133: 349-355 (2020) - [c26]Sanga Chaki, Pranjal Doshi, Priyadarshi Patnaik, Sourangshu Bhattacharya:
Attentive RNNs for Continuous-time Emotion Prediction in Music Clips. AffCon@AAAI 2020: 36-46 - [c25]Chandan Misra, Utkarsh Parasrampuria, Sourangshu Bhattacharya, Soumya K. Ghosh:
On Distributed Solution for Simultaneous Linear Symmetric Systems. IEEE BigData 2020: 5780-5782 - [c24]Utkarsh Parasrampuria, Chandan Misra, Sourangshu Bhattacharya:
An Optimized Distributed Recursive Matrix Multiplication for Arbitrary Sized Matrices. IEEE BigData 2020: 5798-5800 - [c23]Sanga Chaki, Pranjal Doshi, Sourangshu Bhattacharya, Priyadarshi Patnaik:
Explaining Perceived Emotion Predictions in Music: An Attentive Approach. ISMIR 2020: 150-156 - [c22]Haripriya Harikumar, Vuong Le, Santu Rana, Sourangshu Bhattacharya, Sunil Gupta, Svetha Venkatesh:
Scalable Backdoor Detection in Neural Networks. ECML/PKDD (2) 2020: 289-304 - [c21]Rajdeep Mukherjee, Hari Chandana Peruri, Uppada Vishnu, Pawan Goyal, Sourangshu Bhattacharya, Niloy Ganguly:
Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews. SIGIR 2020: 1825-1828 - [i10]Rajdeep Mukherjee, Hari Chandana Peruri, Uppada Vishnu, Pawan Goyal, Sourangshu Bhattacharya, Niloy Ganguly:
Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews. CoRR abs/2006.04660 (2020) - [i9]Haripriya Harikumar, Vuong Le, Santu Rana, Sourangshu Bhattacharya, Sunil Gupta, Svetha Venkatesh:
Scalable Backdoor Detection in Neural Networks. CoRR abs/2006.05646 (2020)
2010 – 2019
- 2019
- [j6]Asis Roy, Sourangshu Bhattacharya, Kalyan Guin:
A methodology for customizing clinical tests for esophageal cancer based on patient preferences. Artif. Intell. Medicine 95: 16-26 (2019) - [j5]Abir De, Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, Soumen Chakrabarti:
Learning Linear Influence Models in Social Networks from Transient Opinion Dynamics. ACM Trans. Web 13(3): 16:1-16:33 (2019) - [c20]Pradumn Kumar Pandey, Sourangshu Bhattacharya, Niloy Ganguly:
Non-link Preserving Network Embedding using Subspace Learning for Network Reconstruction. COMAD/CODS 2019: 10-17 - [c19]Vasudha Todi, Gunjan Sengupta, Sourangshu Bhattacharya:
Probabilistic Path Planning using Obstacle Trajectory Prediction. COMAD/CODS 2019: 36-43 - [i8]Soumi Das, Rajath Nandan Kalava, Kolli Kiran Kumar, Akhil Kandregula, Kalpam Suhaas, Sourangshu Bhattacharya, Niloy Ganguly:
Map Enhanced Route Travel Time Prediction using Deep Neural Networks. CoRR abs/1911.02623 (2019) - 2018
- [j4]Praful P. Pai, Pradyut Kumar Sanki, Sudeep K. Sahoo, Arijit De, Sourangshu Bhattacharya, Swapna Banerjee:
Cloud Computing-Based Non-Invasive Glucose Monitoring for Diabetic Care. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(2): 663-676 (2018) - [c18]Rijula Kar, Susmija Reddy, Sourangshu Bhattacharya, Anirban Dasgupta, Soumen Chakrabarti:
Task-Specific Representation Learning for Web-Scale Entity Disambiguation. AAAI 2018: 5812-5819 - [c17]Abir De, Sourangshu Bhattacharya, Niloy Ganguly:
Shaping Opinion Dynamics in Social Networks. AAMAS 2018: 1336-1344 - [c16]Chandan Misra, Swastik Haldar, Sourangshu Bhattacharya, Soumya K. Ghosh:
SPIN: A Fast and Scalable Matrix Inversion Method in Apache Spark. ICDCN 2018: 16:1-16:10 - [c15]Abir De, Sourangshu Bhattacharya, Niloy Ganguly:
Demarcating Endogenous and Exogenous Opinion Diffusion Process on Social Networks. WWW 2018: 549-558 - [i7]Chandan Misra, Sourangshu Bhattacharya, Soumya K. Ghosh:
SPIN: A Fast and Scalable Matrix Inversion Method in Apache Spark. CoRR abs/1801.04723 (2018) - [i6]Chandan Misra, Sourangshu Bhattacharya, Soumya K. Ghosh:
Stark: Fast and Scalable Strassen's Matrix Multiplication using Apache Spark. CoRR abs/1811.07325 (2018) - 2017
- [c14]Ayan Das, Raghuveer Chanda, Smriti Agrawal, Sourangshu Bhattacharya:
Distributed Weighted Parameter Averaging for SVM Training on Big Data. AAAI Workshops 2017 - [c13]Sankarshan Mridha, Sayan Ghosh, Robin Singh, Sourangshu Bhattacharya, Niloy Ganguly:
Mining Twitter and Taxi Data for Predicting Taxi Pickup Hotspots. ASONAM 2017: 27-30 - [c12]Krunal Parmar, Samuel Bushi, Sourangshu Bhattacharya, Surender Kumar:
Forecasting Ad-Impressions on Online Retail Websites using Non-homogeneous Hawkes Processes. CIKM 2017: 1089-1098 - [c11]Sanga Chaki, Sourangshu Bhattacharya, Raju Mullick, Priyadarshi Patnaik:
Analyzing Music to Music Perceptual Contagion of Emotion in Clusters of Survey-Takers, Using a Novel Contagion Interface: A Case Study of Hindustani Classical Music. CMMR 2017: 252-269 - [c10]Sankarshan Mridha, Niloy Ganguly, Sourangshu Bhattacharya:
Link Travel Time Prediction from Large Scale Endpoint Data. SIGSPATIAL/GIS 2017: 71:1-71:4 - [c9]Bhushan Kulkarni, Sumit Agarwal, Abir De, Sourangshu Bhattacharya, Niloy Ganguly:
SLANT+: A Nonlinear Model for Opinion Dynamics in Social Networks. ICDM 2017: 931-936 - [i5]Manaar Alam, Sarani Bhattacharya, Debdeep Mukhopadhyay, Sourangshu Bhattacharya:
Performance Counters to Rescue: A Machine Learning based safeguard against Micro-architectural Side-Channel-Attacks. IACR Cryptol. ePrint Arch. 2017: 564 (2017) - 2016
- [j3]Abir De, Sourangshu Bhattacharya, Sourav Sarkar, Niloy Ganguly, Soumen Chakrabarti:
Discriminative Link Prediction using Local, Community, and Global Signals. IEEE Trans. Knowl. Data Eng. 28(8): 2057-2070 (2016) - [c8]Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez:
Learning and Forecasting Opinion Dynamics in Social Networks. NIPS 2016: 397-405 - [i4]Asis Roy, Sourangshu Bhattacharya, Kalyan Guin:
A Methodology for Customizing Clinical Tests for Esophageal Cancer based on Patient Preferences. CoRR abs/1610.01712 (2016) - 2015
- [i3]Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez:
Modeling Opinion Dynamics in Diffusion Networks. CoRR abs/1506.05474 (2015) - [i2]Ayan Das, Sourangshu Bhattacharya:
Distributed Weighted Parameter Averaging for SVM Training on Big Data. CoRR abs/1509.09030 (2015) - 2014
- [c7]Abir De, Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, Soumen Chakrabarti:
Learning a Linear Influence Model from Transient Opinion Dynamics. CIKM 2014: 401-410 - 2012
- [c6]Sriram Srinivasan, Sourangshu Bhattacharya, Rudrasis Chakraborty:
Segmenting web-domains and hashtags using length specific models. CIKM 2012: 1113-1122 - [c5]Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan, Shirish K. Shevade:
Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators. UAI 2012: 275-285 - [i1]Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan, Shirish K. Shevade:
Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators. CoRR abs/1210.4859 (2012) - 2011
- [c4]Sriram Srinivasan, Sourangshu Bhattacharya:
Learning to tokenize web domains. WWW (Companion Volume) 2011: 129-130 - 2010
- [c3]Sahely Bhadra, Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Aharon Ben-Tal:
Robust Formulations for Handling Uncertainty in Kernel Matrices. ICML 2010: 71-78
2000 – 2009
- 2007
- [j2]Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Nagasuma R. Chandra:
Comparison of protein structures by growing neighborhood alignments. BMC Bioinform. 8 (2007) - [c2]Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Nagasuma R. Chandra:
Structural alignment based kernels for protein structure classification. ICML 2007: 73-80 - [c1]Mehul Parsana, Sourangshu Bhattacharya, Chiru Bhattacharyya, K. R. Ramakrishnan:
Kernels on Attributed Pointsets with Applications. NIPS 2007: 1129-1136 - 2006
- [j1]Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Nagasuma R. Chandra:
Projections for fast protein structure retrieval. BMC Bioinform. 7(S-5) (2006)
Coauthor Index
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last updated on 2024-11-15 20:37 CET by the dblp team
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