Venues where research from AI@IISc Group have been published recently.
2017
- Shweta Jain, Sujit Gujar, Satyanath Bhat, Onno Zoeter, and Y. Narahari.
A quality-assuring, cost-optimal, multi-armed bandit mechanism for expertsourcing.
Artificial Intelligence, Elsevier, Volume 254, 2018, pp. 44-63. - Sharad Nandanwar, Aayush Moroney, M. Narasimha Murty:
Fusing Diversity in Recommendations in Heterogeneous Information Networks.
WSDM 2018: 414-422 - Guilherme Cox, Zi Yan, Abhishek Bhattacharjee and Vinod Ganapathy,
Secure, Consistent, and High-Performance Memory Snapshotting
Proceedings of CODASPY’18, the 8th ACM Conference on Data and Application Security and Privacy Tempe, Arizona, USA, March 2018. - A. Chatterjee and V. M. Govindu,
Robust Relative Rotation Averaging,
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 4, pp. 958-972, April 1 2018. doi: 10.1109/TPAMI.2017.2693984 - Sharon, G., M. Albert, T. Rambha, S. D. Boyles, and P. Stone.
Traffic Optimization for a Mixture of Self-interested and Compliant Agents.
In the Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, LA. - Gupta, Rahul, Aditya Kanade, and Shirish Shevade.
Deep Reinforcement Learning for Programming Language Correction.
arXiv preprint arXiv:1801.10467 (2017). - P M Nazreen, A G Ramakrishnan, Prasanta Kumar Ghos
A Joint Enhancement-Decoding Formulation for Noise Robust Phoneme Recognition
Proc. 14th IEEE India Council International Conference (INDICON 2017), IIT Roorkee, Dec. 15-17, 2017 - Sahil Bansal, Anindita Ghosh, Chandra Sekhar Seelamantula, Gurunath Gurrala, and Prasanta Kumar Ghosh
“Adaptive Frequency Estimation Approach Using Iterative DESA with RDFT-Based Filter”,
APPEEC 2017 - Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods
Aditya Sharma, Zarana Parekh, Partha Talukdar
EMNLP 2017 - KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs (EMNLP 2017)
Prakhar Ojha, Partha Talukdar - Rahul Gupta, Soham Pal, Aditya Kanade and Shirish Shevade,
DeepFix: Fixing Common C Language Errors by Deep Learning.
Thirty-First AAAI Conference on Artificial Intelligence (AAAI), 2017. - Pankajakshan, Praveen, Sanyal, Suchismita, de Noord, Onno E., Bhattacharya, Indranil, Bhattacharyya, Arnab & Waghmare, Umesh,
Machine Learning and Statistical Analysis for Materials Science: Stability and Transferability of Fingerprint Descriptors and Chemical Insights.
Chemistry of Materials, 29, 4190-4201 (2017). - Acharya, Jayadev, Arnab Bhattacharyya, and Pritish Kamath.
Improved bounds for universal one-bit compressive sensing.
Information Theory (ISIT), 2017 IEEE International Symposium on. IEEE, 2017. - Bhattacharyya, Arnab, Palash Dey, and David P. Woodruff.
An optimal algorithm for l1-heavy hitters in insertion streams and related problems.
Proceedings of the 35th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems. ACM, 2016. -
K. N. Chaudhury and S. Dabhade,Fast and provably accurate bilateral filtering,vol. 25, no. 6, pp. 2519-2528, IEEE Transactions on Image Processing, 2016.
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R. Sanyal, M. Jaiswal, and K. N. Chaudhury,On a registration-based approach to sensor network localization,Transactions on Signal Processing, vol. 65, no. 20, pp. 5357-5367, 2017.
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S. Dabhade, G. Rathna, and K. N. Chaudhury,A reconfigurable and scalable FPGA architecture for bilateral filtering,IEEE Transactions on Industrial Electronics, vol. 65, no. 2, pp. 1459-1469, 2017.
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R. Sanyal, Sk. Ahmed, M. Jaiswal, and K. N. Chaudhury,A scalable ADMM algorithm for rigid registration,IEEE Signal Processing Letters, vol. 24, no. 10, pp. 1453-1457, 2017.
- Hai Nguyen and Vinod Ganapathy,
EnGarde: Mutually-Trusted Inspection of SGX Enclaves
Proceedings of ICDCS’17, the 37th International Conference on Distributed Computing Systems Atlanta, Georgia, USA, June 2017. - Sayak Ray Chowdhury and Aditya Gopalan,
On Kernelized Multi-armed Bandits.
Proc. International Conference on Machine Learning (ICML), 2017. - U, Bhattacharya, S. Veerawal, V. M. Govindu,
Fast Multiview 3D Scan Registration using Planar Structures,
In International Conference on 3D Vision 2017, 2017. - S. M. Haque and V. M. Govindu,
Multi-view Non-rigid Refinement and Normal Selection for High Quality 3D Reconstruction,
2017 IEEE International Conference on Computer Vision (ICCV), Venice, 2017, pp. 2401-2409. doi: 10.1109/ICCV.2017.261 - Rambha, T., S. D. Boyles, A. Unnikrishnan, and P. Stone
Marginal cost pricing for system optimal traffic assignment with recourse under supply-side uncertainty.
Rev. Transp. Res. Part B: Methodol (2017). - Sharon, G., M. W. Levin, J. P. Hanna, T. Rambha, S. D. Boyles, and P. Stone
Network-wide adaptive tolling for connected and automated vehicles.
Transportation Research Part C: Emerging Technologies 84 (2017): 142-157. - Rambha, Tarun, Stephen D. Boyles, and S. Travis Waller.
Adaptive transit routing in stochastic time-dependent networks.
Transportation Science 50.3 (2016): 1043-1059. - Rahul Gupta and Soham Pal and Aditya Kanade and Shirish K. Shevade.
DeepFix: Fixing Common C Language Errors by Deep Learning.
AAAI. 2017.
2016
- Madhav Nimishakavi, Uday Singh Saini, Partha Talukdar
Relation Schema Induction using Tensor Factorization with Side Information [Source] (EMNLP) - Shweta Jain, Satyanath Bhat, Ganesh Ghalme, Divya Padmanabhan, Y. Narahari
Mechanism Design for Stochastic Multi-armed bandit Problems.
Indian Journal of Pure and Applied Mathematics. Volume 47, Number 2, 2016, pp. 229-272. - Sharad Nandanwar, M. Narasimha Murty:
Structural Neighborhood Based Classification of Nodes in a Network.
KDD 2016: 1085-1094 - N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan:
Detecting outliers in categorical data through rough clustering.
Natural Computing 15(3): 385-394 (2016). - Sambaran Bandyopadhyay, M. Narasimha Murty:
Axioms to characterize efficient incremental clustering.
ICPR 2016: 450-455. - Daeyoung Kim, Christopher Liebchen, Vinod Ganapathy, Liviu Iftode, and Ahmad-Reza Sadeghi,
Regulating ARM TrustZone Devices in Restricted Spaces Ferdinand Brasser
Proceedings of MobiSys’16, the 14th ACM International Conference on Mobile Systems, Applications, and Services Singapore, June 2016. - Shivaram Kalyanakrishnan, Neeldhara Misra and Aditya Gopalan,
Randomised Procedures for Initialising and Switching Actions in Policy Iteration.
Proc. 30th AAAI Conference on Artificial Intelligence (AAAI), Phoenix (USA), 2016. - Rambha, Tarun, and Stephen D. Boyles.
Dynamic pricing in discrete time stochastic day-to-day route choice models.
Transportation Research Part B: Methodological 92 (2016): 104-118. - Shalini Kaleeswaran and Anirudh Santhiar and Aditya Kanade and Sumit Gulwani.
Semi-supervised verified feedback generation.
Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering. ACM, 2016.
2015
- Bhattacharyya, Arnab, and Kirankumar Shiragur.
How friends and non-determinism affect opinion dynamics.
Decision and Control (CDC), 2015 IEEE 54th Annual Conference on. IEEE, 2015. - Dey, Palash, and Arnab Bhattacharyya.
Sample complexity for winner prediction in elections.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems, 2015. -
K. N. Chaudhury, Y. Khoo and A. Singer,
Global registration of multiple point clouds using semidefinite programming,SIAM Journal on Optimization, vol. 28, no. 1, pp. 468- 501, 2015. - Nine papers by Ai@IISc members in ICML and COLT 2015:
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- Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models. (ICML)
Mrinal Kanti Das, Trapit Bansal and Chiranjib Bhattacharyya.
- Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models. (ICML)
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- A Provable Generalized Tensor Spectral Method for Uniform Hypergraph Partitioning. (ICML)
Debarghya Ghoshdastidar and Ambedkar Dukkipati.
- A Provable Generalized Tensor Spectral Method for Uniform Hypergraph Partitioning. (ICML)
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- Surrogate Functions for Maximizing Precision at the Top. (ICML)
Purushottam Kar, Harikrishna Narasimhan and Prateek Jain.
- Surrogate Functions for Maximizing Precision at the Top. (ICML)
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- Consistent multiclass algorithms for complex performance measures. (ICML)
Harikrishna Narasimhan, Harish G. Ramaswamy, Aadirupa Saha and Shivani Agarwal.
- Consistent multiclass algorithms for complex performance measures. (ICML)
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- Optimizing Non-decomposable Performance Measures: A Tale of Two Classes. (ICML)
Harikrishna Narasimhan, Purushottam Kar and Prateek Jain.
- Optimizing Non-decomposable Performance Measures: A Tale of Two Classes. (ICML)
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- Ranking from stochastic pairwise preferences: Recovering Condorcet winners and tournament solution sets at the top.(ICML)
Arun Rajkumar, Suprovat Ghoshal, Lek-Heng Lim and Shivani Agarwal.
- Ranking from stochastic pairwise preferences: Recovering Condorcet winners and tournament solution sets at the top.(ICML)
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- On the consistency of hierarchical classification algorithms. (ICML)
Harish G. Ramaswamy, Ambuj Tewari and Shivani Agarwal.
- On the consistency of hierarchical classification algorithms. (ICML)
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- On consistent surrogate risk minimization and property elicitation. (COLT)
Arpit Agarwal and Shivani Agarwal.
- On consistent surrogate risk minimization and property elicitation. (COLT)
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- Thompson Sampling for Learning Parameterized Markov Decision Processes. (COLT)
Aditya Gopalan and Shie Mannor.
- Thompson Sampling for Learning Parameterized Markov Decision Processes. (COLT)
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- Three papers by MLSIG members in IJCAI 2015:
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- Estimating the Margin of Victory of Elections using Sampling.
Palash Dey and Y. Narahari.
- Estimating the Margin of Victory of Elections using Sampling.
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- EntScene: Nonparametric Bayesian Temporal Segmentation of Videos aimed at Entity-driven Scene Detection.
Adway Mitra, Chiranjib Bhattacharyya and Soma Biswas - AskWorld: Budget-Sensitive Query Evaluation for Knowledge-on-Demand.
Mehdi Samadi, Partha Pratim Talukdar, Manuela Veloso and Tom Mitchell.
- EntScene: Nonparametric Bayesian Temporal Segmentation of Videos aimed at Entity-driven Scene Detection.
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2014
- Shalini Kaleeswaran and Varun Tulsian and Aditya Kanade and Alessandro Orso.
Minthint: Automated synthesis of repair hints.
Proceedings of the 36th International Conference on Software Engineering. ACM, 2014. - Varun Tulsian and Aditya Kanade and Rahul Kumar and Akash Lal and Aditya V. Nori.
Mux: algorithm selection for software model checkers.
Proceedings of the 11th Working Conference on Mining Software Repositories. ACM, 2014. - Aditya Gopalan, Shie Mannor, and Yishay Mansour,
Thompson Sampling for Complex Online Problems.
Proc. International Conference on Machine Learning (ICML), Beijing, June 2014. - Trapit Bansal, Chiranjib Bhattacharyya, Ravindran Kannan,
A provable SVD-based algorithm for learning topics in dominant admixture corpus
NIPS 2014
2013
- V. Jethava, A. Martinsson, C. Bhattacharyya and D. Dubhashi,
Lovasz ϑ function, SVMs, and finding Dense subgraphs
Journal of Machine Learning research, pages 3495 3536, 2013.
2011
- Himabindu Lakkaraju, Chiranjib Bhattacharyya, Indrajit Bhattacharya, Srujana Merugu,
Exploiting Coherence for the simultaneous discovery of latent facets and associated sentiments.
SDM 2011 (Best paper award)
2010
- Neeraja J. Yadwadkar, Chiranjib Bhattacharyya, K. Gopinath,Thirumale Niranjan, Sai Susarla
Discovery of Application Workloads from Network File Traces
Conference on File and Storage Technologies(FAST) , 2010. - A. Ben-Tal, S. Bhadra, C. Bhattacharyya and J. Saketha Nath.
Chance Constrained Uncertain Classification via Robust Optimization.
Mathematical Programming Series B special issue on Machine Learning , 2010.