Chiranjib Bhattacharyya
Affiliations:- ERNET, India
According to our database1,
Chiranjib Bhattacharyya
authored at least 122 papers
between 2000 and 2024.
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Bibliography
2024
Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms.
CoRR, 2024
Proceedings of the 51st International Colloquium on Automata, Languages, and Programming, 2024
LP-based Construction of DC Decompositions for Efficient Inference of Markov Random Fields.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
TVSPrune - Pruning Non-discriminative filters via Total Variation separability of intermediate representations without fine tuning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Proceedings of the 2022 ACM-SIAM Symposium on Discrete Algorithms, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
J. Chem. Inf. Model., 2021
DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder.
CoRR, 2021
Can Non-Humanoid Social Robots Reduce Workload of Special Educators : An Online and In-Premises Field Study.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021
Dynamic to Static Lidar Scan Reconstruction Using Adversarially Trained Auto Encoder.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
On the Unreasonable Effectiveness of Knowledge Distillation: Analysis in the Kernel Regime.
CoRR, 2020
Finding a latent <i>k</i>-simplex in <i>O</i>* (<i>k</i> · nnz(data)) time via Subset Smoothing.
Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Near-optimal sample complexity bounds for learning Latent k-polytopes and applications to Ad-Mixtures.
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Proceedings of the 20th International Workshop on Mobile Computing Systems and Applications, 2019
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Optimizing DNN Architectures for High Speed Autonomous Navigation in GPS Denied Environments on Edge Devices.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Convex Optimization over Intersection of Simple Sets: improved Convergence Rate Guarantees via an Exact Penalty Approach.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
Corpus-Based Translation Induction in Indian Languages Using Auxiliary Language Corpora from Wikipedia.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2017
Bayesian Modeling of Temporal Coherence in Videos for Entity Discovery and Summarization.
IEEE Trans. Pattern Anal. Mach. Intell., 2017
Vine copulas for mixed data : multi-view clustering for mixed data beyond meta-Gaussian dependencies.
Mach. Learn., 2017
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery.
Proceedings of the 34th International Conference on Machine Learning, 2017
SOPER: Discovering the Influence of Fashion and the Many Faces of User from Session Logs using Stick Breaking Process.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Identifying Groups of Strongly Correlated Variables through Smoothed Ordered Weighted L<sub>1</sub>-norms.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
HLaffy: estimating peptide affinities for Class-1 HLA molecules by learning position-specific pair potentials.
Bioinform., 2016
Copula-HDP-HMM: Non-parametric Modeling of Temporal Multivariate Data for I/O Efficient Bulk Cache Preloading.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
2015
Mining Block I/O Traces for Cache Preloading with Sparse Temporal Non-parametric Mixture of Multivariate Poisson.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Temporally Coherent CRP: A Bayesian Non-Parametric Approach for Clustering Tracklets with applications to Person Discovery in Videos.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Content Driven User Profiling for Comment-Worthy Recommendations of News and Blog Articles.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
EntScene: Nonparametric Bayesian Temporal Segmentation of Videos Aimed at Entity-Driven Scene Detection.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models.
Proceedings of the 32nd International Conference on Machine Learning, 2015
Translation Induction on Indian Language Corpora Using Translingual Themes from Other Languages.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2015
Relating Romanized Comments to News Articles by Inferring Multi-Glyphic Topical Correspondence.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Temporally Coherent Chinese Restaurant Process for Discovery of Persons and Corresponding Tracklets from User-generated Videos.
CoRR, 2014
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
2013
Proceedings of the 2013 IEEE Information Theory Workshop, 2013
Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically.
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 2013 IEEE Sixth International Conference on Cloud Computing, Santa Clara, CA, USA, June 28, 2013
2012
J. Mach. Learn. Res., 2012
Proceedings of the 20th Euromicro International Conference on Parallel, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Dynamic Multi-relational Chinese Restaurant Process for Analyzing Influences on Users in Social Media.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Proceedings of the 4th USENIX Workshop on Hot Topics in Storage and File Systems, 2012
Proceedings of the Advances in Information Retrieval, 2012
2011
Math. Program., 2011
BMC Bioinform., 2011
Proceedings of the 20th International Conference on World Wide Web, 2011
Scalable multi-dimensional user intent identification using tree structured distributions.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011
Exploiting Coherence for the Simultaneous Discovery of Latent Facets and associated Sentiments.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
2010
Proceedings of the Visual Information Processing and Communication, 2010
Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Proceedings of the Seventh Indian Conference on Computer Vision, 2010
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Proceedings of the 8th USENIX Conference on File and Storage Technologies, 2010
Proceedings of the 2010 IEEE International Conference on Services Computing, 2010
2009
A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data.
Algorithms Mol. Biol., 2009
Interval Data Classification under Partial Information: A Chance-Constraint Approach.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009
On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the International Conference on Machine Learning and Applications, 2009
Proceedings of the ICDM 2009, 2009
2008
Proceedings of the Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases, 2008
Pattern Recognit. Lett., 2008
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
2007
BMC Bioinform., 2007
Maximum Margin Classifiers with Specified False Positive and False Negative Error Rates.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the Machine Learning, 2007
Proceedings of the Machine Learning, 2007
Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007), 2007
2006
J. Mach. Learn. Res., 2006
Clustering based large margin classification: a scalable approach using SOCP formulation.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
2005
Ascent Phase Trajectory Optimization for a Hypersonic Vehicle Using Nonlinear Programming.
Proceedings of the Computational Science and Its Applications, 2005
2004
J. Mach. Learn. Res., 2004
Robust Sparse Hyperplane Classifiers: Application to Uncertain Molecular Profiling Data.
J. Comput. Biol., 2004
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Time Series Classification for Online Tamil Handwritten Character Recognition - A Kernel Based Approach.
Proceedings of the Neural Information Processing, 11th International Conference, 2004
Proceedings of the Distributed Computing and Internet Technology, 2004
2003
Simultaneous classification and relevant feature identification in high-dimensional spaces: application to molecular profiling data.
Signal Process., 2003
2002
Simultaneous Relevant Feature Identification and Classification in High-Dimensional Spaces.
Proceedings of the Algorithms in Bioinformatics, Second International Workshop, 2002
2001
Neural Comput., 2001
J. Artif. Intell. Res., 2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
2000
IEEE Trans. Neural Networks Learn. Syst., 2000
A fast iterative nearest point algorithm for support vector machine classifier design.
IEEE Trans. Neural Networks Learn. Syst., 2000
Proceedings of the Advances in Neural Information Processing Systems 13, 2000