Publications



Venues where research from AI@IISc Group have been published recently.

# Publication Authors Venue
FLASH: Fast and Robust Framework for Privacy-preserving Machine Learning Megha Byali, Harsh Chaudhari, Arpita Patra and Ajith Suresh PETS 2020
Composition-based Multi-Relational Graph Convolutional Networks Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Partha Talukdar ICLR 2020
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning Harsh Chaudhari, Rahul Rachuri and Ajith Suresh NDSS 2020
BLAZE: Blazing Fast Privacy-Preserving Machine Learning Arpita Patra and Ajith Suresh NDSS 2020
Best-item Learning in Random Utility Models with Subset Choices Aadirupa Saha, Aditya Gopalan AISTATS 2020
P-SIF: Document Embeddings Using Partition Averaging Vivek Gupta, Ankit Saw, Pegah Nokhiz, Praneeth Netrapalli, Piyush Rai, Partha Talukdar AAAI 2020
Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation Jogendra Nath Kundu, Siddharth Seth, Rahul M.V., Rakesh M., R. Venkatesh Babu and Anirban Chakraborty AAAI 2020
Translucent Answer Predictions in Multi-Hop Reading Comprehension G P Shrivatsa Bhargav, Michael R. Glass, Dinesh Garg, Shirish Shevade, Saswati Dana, Dinesh Khandelwal,; L Venkata Subramaniam, Alfio Gliozzo AAAI 2020
Achieving Fairness in the Stochastic Multi-armed Bandit Problem Vishakha Patil, Ganesh Ghalme, Vineet Nair, Y. Narahari AAAI 2020
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations Ekagra Ranjan, Soumya Sanyal, Partha Talukdar AAAI 2020
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions Shikhar Vashishth*, Soumya Sanyal*, Vikram Nitin, Nilesh Agrawal, Partha Talukdar AAAI 2020
ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data Soham Pal, Yash Gupta, Aditya Shukla, Aditya Kanade, Shirish Shevade, Vinod Ganapathy AAAI 2020
DeGAN : Data-enriching GAN for retrieving Representative Samples from a Trained Classifier Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty and R. Venkatesh Babu AAAI 2020
Sequential Mode Estimation with Oracle Queries Dhruti Shah, Tuhinangshu Chouwdhury, Nikhil Karamchandani and Aditya Gopalan AAAI 2020
On Adaptivity in Information-constrained Online Learning Siddharth Mitra and Aditya Gopalan AAAI 2020
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction Harsh Chaudhari, Ashish Choudhury, Arpita Patra and Ajith Suresh PPML 2019
Nonzero-sum adversarial hypothesis testing games Sarath Yasodharan and Patrick Loiseau NeurIPS 2019
Combinatorial Bandits with Relative Feedback Aadirupa Saha, Aditya Gopalan NeurIPS 2019
Bayesian Optimization under Heavy-tailed Payoffs Sayak Ray Chowdhury, Aditya Gopalan NeurIPS 2019
HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs Naganand Yadati, Madhav Nimishakavi, Prateek Yadav, Vikram Nitin, Anand Louis, Partha Talukdar NeurIPS 2019
Infra-slow brain dynamics as a marker for cognitive function and decline Shagun Ajmera, Shreya Rajagopal, Razi Rehman, Devarajan Sridharan NeurIPS 2019
Neural Attribution for Semantic Bug-Localization in Student Programs Rahul Gupta, Aditya Kanade, Shirish Shevade NeurIPS 2019
CaRe: Open Knowledge Graph Embeddings Swapnil Gupta, Sreyash Kenkre, Partha Talukdar EMNLP 2019
UM-Adapt: Unsupervised Multi-task Adaptation using Adversarial Cross-task Distillation Jogendra Nath Kundu, Nishank L., R. Venkatesh Babu ICCV 2019
FDA: Feature Disruptive Adversarial Attack Aditya G., Vivek B.S., R. Venkatesh Babu ICCV 2019
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-modal Data Distributions Jogendra Nath Kundu, Maharshi G., Dakshit A., R. Venkatesh Babu ICCV 2019
Zero-shot Word Sense Disambiguation using Sense Definition Embeddings Sawan Kumar, Sharmistha Jat, Karan Saxena, Partha Talukdar ACL 2019
Relating Simple Sentence Representations in Deep Neural Networks and the Brain Sharmistha Jat, Hao Tang, Partha Talukdar, Tom M. Mitchell ACL 2019
Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks Shikhar Vashishth, Manik Bhandari, Prateek Yadav, Piyush Rai, Chiranjib Bhattacharyya, Partha Talukdar ACL 2019
Word2Sense: Sparse Interpretable Word Embeddings Abhishek Panigrahi, Harsha Vardhan Simhadri, Chiranjib Bhattacharyya ACL 2019
Be Greedy: How Chromatic Number meets Regret Minimization in Graph Bandits Aadirupa Saha, Shreyas Sheshadri, Chiranjib Bhattacharyya UAI 2019
Zero-Shot Knowledge Distillation in Deep Networks Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, Venkatesh Babu Radhakrishnan, Anirban Chakraborty ICML 2019
Actor-Critic Algorithms for Constrained Multi-agent Reinforcement Learning Raghuram Bharadwaj Diddigi, D. Sai Koti Reddy, Prabuchandran K. J., Shalabh Bhatnagar AAMAS 2019
Online Learning in Kernelized Markov Decision Processes Sayak Ray Chowdhury, Aditya Gopalan AISTATS 2019
Active Ranking with Subset-wise Preferences Aadirupa Saha, Aditya Gopalan AISTATS 2019
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning Shikhar Vashishth, Prateek Yadav, Manik Bhandari, Partha Talukdar: AISTATS 2019
Lovasz Convolutional Networkshttp
Prateek Yadav, Madhav Nimishakavi, Naganand Yadati, Shikhar Vashishth, Arun Rajkumar, Partha Talukdar AISTATS 2019
Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation Ashutosh Kumar, Satwik Bhattamishra, Manik Bhandari, Partha Talukdar NAACL-HLT 2019
All for One: Frame-wise Rank Loss for Improving Video-based Person Re-identification
Navaneet K. L., Vasudha Todi, R. Venkatesh Babu, Anirban Chakraborty ICASSP 2019
Deep Variational Filter Learning Models for Speech Recognition
Purvi Agrawal, Sriram Ganapathy ICASSP 2019
The Leap Speaker Recognition System for NIST SRE 2018 Challenge
Shreyas Ramoji, Anand Mohan, Bhargavram Mysore, Anmol Bhatia, Prachi Singh, Harsha Vardhan, Sriram Ganapathy ICASSP 2019
End-to-end Language Recognition Using Attention Based Hierarchical Gated Recurrent Unit Models
Bharat Padi, Anand Mohan, Sriram Ganapathy ICASSP 2019
A Deep Neural Network Based End to End Model for Joint Height and Age Estimation from Short Duration Speech Shareef Babu Kalluri, Deepu Vijayasenan, Sriram Ganapathy ICASSP 2019
When Can a System of Subnetworks Be Registered Uniquely? Aditya V. Singh, Kunal N. Chaudhury ICASSP 2019
SAMIR: Sparsity Amplified Iteratively-reweighted Beamforming for High-rsolution Ultrasound Imaging
Amol G. Mahurkar, Praveen Kumar Pokala, Chetan Singh Thakur, Chandra Sekhar Seelamantula ICASSP 2019
Automatic Segmentation of Optic Disc Using Affine Snakes in Gradient Vector Field
Sidhartha Dey, Kapil Tahiliani, J. R. Harish Kumar, Adithya Kumar Pediredla, Chandra Sekhar Seelamantula ICASSP 2019
Automatic Segmentation of Common Carotid Artery in Longitudinal Mode Ultrasound Images Using Active Oblongs
J. R. Harish Kumar, Kartik Teotia, P. Kevin Raj, Jasbon Andrade, K. V. Rajagopal, Chandra Sekhar Seelamantula ICASSP 2019
A Learning Approach for Wavelet Design
Dhruv Jawali, Abhishek Kumar, Chandra Sekhar Seelamantula ICASSP 2019
FirmNet: A Sparsity Amplified Deep Network for Solving Linear Inverse Problems
Praveen Kumar Pokala, Amol G. Mahurkar, Chandra Sekhar Seelamantula ICASSP 2019
FRI Modelling of Fourier Descriptors
Abijith Jagannath Kamath, Sunil Rudresh, Chandra Sekhar Seelamantula ICASSP 2019
A Spectro-temporal Technique for Estimating Aperiodicity and Voiced/unvoiced Decision Boundaries of Speech Signals
Jitendra Kumar Dhiman, Chandra Sekhar Seelamantula ICASSP 2019
Analyzing Human Reaction Time for Talker Change Detection
Neeraj Sharma, Shobhana Ganesh, Sriram Ganapathy, Lori L. Holt ICASSP 2019
KVQA: Knowledge-Aware Visual Question Answering Sanket Shah, Anand Mishra, Naganand Yadati, Partha Talukdar AAAI 2019
ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs Sawan Kumar, Varsha Sreenivasan, Partha Talukdar, Franco Pestilli, Devarajan Sridharan AAAI 2019
BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN Jogendra Nath Kundu, Maharshi Gor, R. Venkatesh Babu AAAI 2019
CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision Navaneet K. L., Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu AAAI 2019
Almost Unsupervised Learning for Dense Crowd Counting Deepak Babu Sam, Neeraj N. Sajjan, Himanshu Maurya, R. Venkatesh Babu AAAI 2019
Deep Reinforcement Learning for Syntactic Error Repair in Student Programs Rahul Gupta, Aditya Kanade, Shirish K. Shevade AAAI 2019
How Many Pairwise Preferences Do We Need to Rank a Graph Consistently? Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya AAAI 2019
Fair Division with a Secretive Agent Eshwar Ram Arunachaleswaran, Siddharth Barman, Nidhi Rathi AAAI 2019
On the Proximity of Markets with Integral Equilibria Siddharth Barman, Sanath Kumar Krishnamurthy AAAI 2019
Outlier Aware Network Embedding for Attributed Networks Sambaran Bandyopadhyay, N. Lokesh, M. Narasimha Murty AAAI 2019
Minimum Intervention Cover of a Causal Graph Saravanan Kandasamy, Arnab Bhattacharyya, Vasant G. Honavar AAAI 2019
A Generative Model for Dynamic Networks with Applications Shubham Gupta, Gaurav Sharma, Ambedkar Dukkipati AAAI 2019
PA-Fuse: A Deep Supervised Approach for Fusion of Photoacoustic Images with Distinct Reconstruction Characteristics Navchetan Awasthi, K. Ram Prabhakar, Sandeep Kumar Kalva, Manojit Pramanik, R. Venkatesh Babu, and Phaneendra K. Yalavarthy Biomedical Optics Express, 2019
CNN Fixations: An unraveling approach to visualize the discriminative image regions Mopuri Reddy, Utsav Garg and R. Venkatesh Babu IEEE Transactions on Image Processing (TIP), 2019
Pictionary-style word-guessing on hand-drawn object sketches: dataset, analysis and deep network models Ravi Kiran S., Shiv Surya, Trisha M. and R. Venkatesh Babu IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2019
Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations Mopuri Reddy, Aditya Ganeshan and R. Venkatesh Babu IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2019
Learning and Testing Causal Models with Interventions Jayadev Acharya, Arnab Bhattacharyya, Constantinos Daskalakis, Saravanan Kandasamy NeurIPS 2018
HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha Talukdar EMNLP 2018
AD3: Attentive Deep Document Dater Swayambhu Nath Ray, Shib Sankar Dasgupta, Partha Talukdar EMNLP 2018
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha Talukdar EMNLP 2018
Hardness of Learning Noisy Halfspaces using Polynomial Thresholds Arnab Bhattacharyya, Suprovat Ghoshal, Rishi Saket COLT 2018
Fair Division Under Cardinality Constraints
Arpita Biswas, Siddharth Barman IJCAI 2018
Dating Documents using Graph Convolution Networks Shikhar Vashishth, Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha Talukdar ACL 2018
Towards Understanding the Geometry of Knowledge Graph Embeddings Chandrahas, Aditya Sharma, Partha Talukdar ACL 2018
Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation Madhav Nimishakavi, Manish Gupta, Partha Talukdar ACL 2018
Testing Sparsity over Known and Unknown Bases Siddharth Barman, Arnab Bhattacharyya, Suprovat Ghoshal ICML 2018
Using Inherent Structures to design Lean 2-layer RBMs Abhishek Bansal, Abhinav Anand, Chiranjib Bhattacharyya ICML 2018
Preserving Semantic Relations for Zero-Shot Learning
Yashas Annadani, Soma Biswas CVPR 2018
Learning beyond Datasets: Knowledge Graph Augmented Neural Networks for Natural Language Processing K. M. Annervaz, Somnath Basu Roy Chowdhury, Ambedkar Dukkipati NAACL-HLT 2018
ELDEN: Improved Entity Linking using Densified Knowledge Graphs Priya Radhakrishnan, Partha Talukdar, Vasudeva Varma NAACL-HLT 2018
Design of Coalition Resistant Credit Score Functions for Online Discussion Forums Ganesh Ghalme, Sujit Gujar, Amleshwar Kumar, Shweta Jain, Y. Narahari AAMAS 2018
Greedy Algorithms for Maximizing Nash Social Welfare Siddharth Barman, Sanath Kumar Krishnamurthy, Rohit Vaish AAMAS 2018
Convex Optimization over Intersection of Simple Sets: improved Convergence Rate Guarantees via an Exact Penalty Approach Achintya Kundu, Francis Bach, Chiranjib Bhattacharyya AISTATS 2018
Phasesplit: A Variable Splitting Framework for Phase Retrieval Subhadip Mukherjee, Suprosanna Shit, Chandra Sekhar Seelamantula ICASSP 2018
Leveraging LSTM Models for Overlap Detection in Multi-Party Meetings N. Sajjan, S. Ganesh, N. Sharma, S. Ganapathy, N. Ryant ICASSP 2018
Wavelet-Based Reconstruction for Unlimited Sampling
Sunil Rudresh, Aniruddha Adiga, Basty Ajay Shenoy, Chandra Sekhar Seelamantula ICASSP 2018
3-D CNN Models for Far-Field Multi-Channel Speech Recognition S. Ganapathy, V. Peddinti ICASSP 2018
NAG: Network for Adversary Generation M. Reddy, Utkarsh Ohja, Utsav Garg, R. Venkatesh Babu CVPR 2018
Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN Deepak Babu Sam, Neeraj N. Sajjan, R. Venkatesh Babu, Mukundhan Srinivasan CVPR 2018
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation Jogendra Nath Kundu, Phani Krishna Uppala, Anuj Pahuja, R. Venkatesh Babu CVPR 2018
CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information Shikhar Vashishth, Prince Jain, Partha Talukdar WWW 2018
Groupwise Maximin Fair Allocation of Indivisible Goods Siddharth Barman, Arpita Biswas, Sanath Kumar Krishna Murthy, Yadati Narahari AAAI 2018
Overlap-Robust Decision Boundary Learning for Within-Network Classification Sharad Nandanwar, M. Narasimha Murty AAAI 2018
Top-Down Feedback for Crowd Counting Convolutional Neural Network Deepak Babu Sam, R. Venkatesh Babu AAAI 2018
Game of Sketches: A Deep Neural Model of Word Guessing for Pictionary Ravi Kiran S, Shiv Surya, Trisha, R. Venkatesh Babu AAAI 2018
Online Learning for Structured Loss Spaces Siddharth Barman, Aditya Gopalan, Aadirupa Saha AAAI 2018

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.
  • 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.
  • 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.
  • 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:
      • Surrogate Functions for Maximizing Precision at the Top. (ICML)
        Purushottam Kar, Harikrishna Narasimhan and Prateek Jain.
      • Optimizing Non-decomposable Performance Measures: A Tale of Two Classes. (ICML)
        Harikrishna Narasimhan, Purushottam Kar and Prateek Jain.
      • 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.
      • On the consistency of hierarchical classification algorithms. (ICML)
        Harish G. Ramaswamy, Ambuj Tewari and Shivani Agarwal.
      • Thompson Sampling for Learning Parameterized Markov Decision Processes. (COLT)
        Aditya Gopalan and Shie Mannor.
  • Three papers by MLSIG members in IJCAI 2015:
      • 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.

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.