A Variational Mean-Field Theory for Sigmoidal Belief Networks. - Chiranjib Bhattacharyya; S. Sathiya Keerthi (NIPS, 2000)

A fast iterative nearest point algorithm for support vector machine classifier design. - S. Sathiya Keerthi; Shirish K. Shevade; Chiranjib Bhattacharyya; K. R. K. Murthy (IEEE Trans. Neural Networks Learn. Syst., 2000)

Improvements to the SMO algorithm for SVM regression. - Shirish K. Shevade; S. Sathiya Keerthi; Chiranjib Bhattacharyya; K. R. K. Murthy (IEEE Trans. Neural Networks Learn. Syst., 2000)

Minimax Probability Machine. - Gert R. G. Lanckriet; Laurent El Ghaoui; Chiranjib Bhattacharyya; Michael I. Jordan (NIPS, 2001)

Mean Field Methods for a Special Class of Belief Networks. - Chiranjib Bhattacharyya; S. Sathiya Keerthi (J. Artif. Intell. Res., 2001)

Improvements to Platt's SMO Algorithm for SVM Classifier Design. - S. Sathiya Keerthi; Shirish K. Shevade; Chiranjib Bhattacharyya; K. R. K. Murthy (Neural Comput., 2001)

Simultaneous Relevant Feature Identification and Classification in High-Dimensional Spaces. - L. R. Grate; Chiranjib Bhattacharyya; Michael I. Jordan; I. Saira Mian (WABI, 2002)

A Robust Minimax Approach to Classification. - Gert R. G. Lanckriet; Laurent El Ghaoui; Chiranjib Bhattacharyya; Michael I. Jordan (J. Mach. Learn. Res., 2002)

Simultaneous classification and relevant feature identification in high-dimensional spaces: application to molecular profiling data. - Chiranjib Bhattacharyya; L. R. Grate; A. Rizki; D. Radisky; F. J. Molina; Michael I. Jordan; Mina J. Bissell; I. Saira Mian (Signal Process., 2003)

Efficient Algorithms for Intrusion Detection. - Niranjan K. Boora; Chiranjib Bhattacharyya; Kanchi Gopinath (ICDCIT, 2004)

Time Series Classification for Online Tamil Handwritten Character Recognition - A Kernel Based Approach. - K. R. Sivaramakrishnan; Chiranjib Bhattacharyya (ICONIP, 2004)

A Second Order Cone programming Formulation for Classifying Missing Data. - Chiranjib Bhattacharyya; Pannagadatta K. Shivaswamy; Alexander J. Smola (NIPS, 2004)

Robust Sparse Hyperplane Classifiers: Application to Uncertain Molecular Profiling Data. - Chiranjib Bhattacharyya; L. R. Grate; Michael I. Jordan; Laurent El Ghaoui; I. Saira Mian (J. Comput. Biol., 2004)

Second Order Cone Programming Formulations for Feature Selection. - Chiranjib Bhattacharyya (J. Mach. Learn. Res., 2004)

Ascent Phase Trajectory Optimization for a Hypersonic Vehicle Using Nonlinear Programming. - H. M. Prasanna; Debasish Ghose; M. Seetharama Bhat; Chiranjib Bhattacharyya; J. Umakant (ICCSA (4), 2005)

Clustering based large margin classification: a scalable approach using SOCP formulation. - J. Saketha Nath; Chiranjib Bhattacharyya; M. Narasimha Murty (KDD, 2006)

Projections for fast protein structure retrieval. - Sourangshu Bhattacharya; Chiranjib Bhattacharyya; Nagasuma R. Chandra (BMC Bioinform., 2006)

Second Order Cone Programming Approaches for Handling Missing and Uncertain Data. - Pannagadatta K. Shivaswamy; Chiranjib Bhattacharyya; Alexander J. Smola (J. Mach. Learn. Res., 2006)

Fréchet Distance Based Approach for Searching Online Handwritten Documents. - E. Sriraghavendra; K. Karthik; Chiranjib Bhattacharyya (ICDAR, 2007)

Focused crawling with scalable ordinal regression solvers. - Rashmin Babaria; J. Saketha Nath; S. Krishnan; K. R. Sivaramakrishnan; Chiranjib Bhattacharyya; M. Narasimha Murty (ICML, 2007)

Structural alignment based kernels for protein structure classification. - Sourangshu Bhattacharya; Chiranjib Bhattacharyya; Nagasuma R. Chandra (ICML, 2007)

Kernels for Large Margin Time-Series Classification. - K. R. Sivaramakrishnan; K. Karthik; Chiranjib Bhattacharyya (IJCNN, 2007)

A Randomized Algorithm for Large Scale Support Vector Learning. - Krishnan Kumar; Chiru Bhattacharyya; Ramesh Hariharan (NIPS, 2007)

Kernels on Attributed Pointsets with Applications. - Mehul Parsana; Sourangshu Bhattacharya; Chiru Bhattacharyya; K. R. Ramakrishnan (NIPS, 2007)

Maximum Margin Classifiers with Specified False Positive and False Negative Error Rates. - J. Saketha Nath; Chiranjib Bhattacharyya (SDM, 2007)

Comparison of protein structures by growing neighborhood alignments. - Sourangshu Bhattacharya; Chiranjib Bhattacharyya; Nagasuma R. Chandra (BMC Bioinform., 2007)

Structured learning for non-smooth ranking losses. - Soumen Chakrabarti; Rajiv Khanna; Uma Sawant; Chiru Bhattacharyya (KDD, 2008)

A large margin approach for writer independent online handwriting classification. - Karthik Kumara; Rahul Agrawal; Chiranjib Bhattacharyya (Pattern Recognit. Lett., 2008)

Clustering Based on Genetic Algorithms. - M. Narasimha Murty; Rashmin Babaria; Chiranjib Bhattacharyya (Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases, 2008)

Conditional Models for Non-smooth Ranking Loss Functions. - Avinava Dubey; Jinesh Machchhar; Chiranjib Bhattacharyya; Soumen Chakrabarti (ICDM, 2009)

Discovering Rules from Disk Events for Predicting Hard Drive Failures. - Vipul Agarwal; Chiranjib Bhattacharyya; Thirumale Niranjan; Sai Susarla (ICMLA, 2009)

On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation. - Jagarlapudi Saketha Nath; G. Dinesh; Raman Sankaran; Chiranjib Bhattacharyya; Aharon Ben-Tal; K. R. Ramakrishnan (NIPS, 2009)

Interval Data Classification under Partial Information: A Chance-Constraint Approach. - Sahely Bhadra; J. Saketha Nath; Aharon Ben-Tal; Chiranjib Bhattacharyya (PAKDD, 2009)

A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data. - Sahely Bhadra; Chiranjib Bhattacharyya; Nagasuma R. Chandra; I. Saira Mian (Algorithms Mol. Biol., 2009)

Randomized Algorithms for Large scale SVMs - Vinay Jethava; Krishnan Suresh; Chiranjib Bhattacharyya; Ramesh Hariharan (CoRR, 2009)

RAPID: Resource of Asian Primary Immunodeficiency Diseases. - Shivakumar Keerthikumar; Rajesh Raju; Kumaran Kandasamy; Atsushi Hijikata; Subhashri Ramabadran; Lavanya Balakrishnan; Mukhtar Ahmed; Sandhya Rani; Lakshmi Dhevi N. Selvan; Devi S. Somanathan; Somak Ray; Mitali Bhattacharjee; et al. (Nucleic Acids Res., 2009)

Discovering Business Process Model from Unstructured Activity Logs. - Rahul Kumar; Chiranjib Bhattacharyya; Virendra Varshneya (IEEE SCC, 2010)

Discovery of Application Workloads from Network File Traces. - Neeraja J. Yadwadkar; Chiranjib Bhattacharyya; Kanchi Gopinath; Thirumale Niranjan; Sai Susarla (FAST, 2010)

Robust Formulations for Handling Uncertainty in Kernel Matrices. - Sahely Bhadra; Sourangshu Bhattacharya; Chiranjib Bhattacharyya; Aharon Ben-Tal (ICML, 2010)

Free form face recognition using kernel sparse representation. - Anoop Kolar Rajagopal; R. S. Narasimhan; K. R. Ramakrishnan; Chiranjib Bhattacharyya (ICVGIP, 2010)

Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions. - Achintya Kundu; Vikram Tankasali; Chiranjib Bhattacharyya; Aharon Ben-Tal (NIPS, 2010)

Video coding mode decision as a classification problem. - Rashad Maqbool Jillani; Urvang Joshi; Chiranjib Bhattacharyya; Hari Kalva; R. K. Ramakrishnan (Visual Information Processing and Communication, 2010)

Supervised matching of comments with news article segments. - Dyut Kumar Sil; Srinivasan H. Sengamedu; Chiranjib Bhattacharyya (CIKM, 2011)

Learning Dirichlet Processes from Partially Observed Groups. - Avinava Dubey; Indrajit Bhattacharya; Mrinal Kanti Das; Tanveer A. Faruquie; Chiranjib Bhattacharyya (ICDM, 2011)

Diversity in ranking via resistive graph centers. - Avinava Dubey; Soumen Chakrabarti; Chiranjib Bhattacharyya (KDD, 2011)

Exploiting Coherence for the Simultaneous Discovery of Latent Facets and associated Sentiments. - Himabindu Lakkaraju; Chiranjib Bhattacharyya; Indrajit Bhattacharya; Srujana Merugu (SDM, 2011)

Scalable multi-dimensional user intent identification using tree structured distributions. - Vinay Jethava; Liliana Calderón-Benavides; Ricardo Baeza-Yates; Chiranjib Bhattacharyya; Devdatt P. Dubhashi (SIGIR, 2011)

ReadAlong: reading articles and comments together. - Dyut Kumar Sil; Srinivasan H. Sengamedu; Chiranjib Bhattacharyya (WWW (Companion Volume), 2011)

NETGEM: Network Embedded Temporal GEnerative Model for gene expression data. - Vinay Jethava; Chiranjib Bhattacharyya; Devdatt P. Dubhashi; Goutham N. Vemuri (BMC Bioinform., 2011)

Variable Sparsity Kernel Learning. - Jonathan Aflalo; Aharon Ben-Tal; Chiranjib Bhattacharyya; Jagarlapudi Saketha Nath; Raman Sankaran (J. Mach. Learn. Res., 2011)

Chance constrained uncertain classification via robust optimization. - Aharon Ben-Tal; Sahely Bhadra; Chiranjib Bhattacharyya; J. Saketha Nath (Math. Program., 2011)

Cluster Labeling for Multilingual Scatter/Gather Using Comparable Corpora. - Goutham Tholpadi; Mrinal Kanti Das; Chiranjib Bhattacharyya; Shirish K. Shevade (ECIR, 2012)

LoadIQ: Learning to Identify Workload Phases from a Live Storage Trace. - Pankaj Pipada; Achintya Kundu; Kanchi Gopinath; Chiranjib Bhattacharyya; Sai Susarla; P. C. Nagesh (HotStorage, 2012)

Eigen-profiles of spatio-temporal fragments for adaptive region-based tracking. - Adway Mitra; Anoop Kolar Rajagopal; Ujwal D. Bonde; Chiranjib Bhattacharyya; K. R. Ramakrishnan (ICASSP, 2012)

Dynamic Multi-relational Chinese Restaurant Process for Analyzing Influences on Users in Social Media. - Himabindu Lakkaraju; Indrajit Bhattacharya; Chiranjib Bhattacharyya (ICDM, 2012)

Covariance profiles: A signature representation for object sets. - Anoop Kolar Anoop; Adway Mitra; Ujwal D. Bonde; Chiranjib Bhattacharyya; K. R. Ramakrishnan (ICPR, 2012)

"The Lovasz $ theta$ function, SVMs and finding large dense subgraphs". - Vinay Jethava; Anders Martinsson; Chiranjib Bhattacharyya; Devdatt P. Dubhashi (NIPS, 2012)

TCP: Thread Contention Predictor for Parallel Programs. - Aparna Mandke Dani; Bharadwaj Amrutur; Y. N. Srikant; Chiranjib Bhattacharyya (PDP, 2012)

Efficient methods for robust classification under uncertainty in kernel matrices. - Aharon Ben-Tal; Sahely Bhadra; Chiranjib Bhattacharyya; Arkadi Nemirovski (J. Mach. Learn. Res., 2012)

Elastic Resources Framework in IaaS, Preserving Performance SLAs. - Mohit Dhingra; J. Lakshmi; S. K. Nandy 001; Chiranjib Bhattacharyya; Kanchi Gopinath (IEEE CLOUD, 2013)

Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically. - Mrinal Kanti Das; Suparna Bhattacharya; Chiranjib Bhattacharyya; Kanchi Gopinath (ICML (2), 2013)

Lovasz ϑ, SVMs and applications. - Vinay Jethava; Jacob Sznajdman; Chiranjib Bhattacharyya; Devdatt P. Dubhashi (ITW, 2013)

Lovász ϑ function, SVMs and finding dense subgraphs. - Vinay Jethava; Anders Martinsson; Chiranjib Bhattacharyya; Devdatt P. Dubhashi (J. Mach. Learn. Res., 2013)

Global graph kernels using geometric embeddings. - Fredrik D. Johansson; Vinay Jethava; Devdatt P. Dubhashi; Chiranjib Bhattacharyya (ICML, 2014)

A provable SVD-based algorithm for learning topics in dominant admixture corpus. - Trapit Bansal; Chiranjib Bhattacharyya; Ravindran Kannan (NIPS, 2014)

Learning on graphs using Orthonormal Representation is Statistically Consistent. - Rakesh Shivanna; Chiranjib Bhattacharyya (NIPS, 2014)

Going beyond Corr-LDA for detecting specific comments on news & blogs. - Mrinal Kanti Das; Trapit Bansal; Chiranjib Bhattacharyya (WSDM, 2014)

Controlled Sparsity Kernel Learning. - Dinesh Govindaraj; Raman Sankaran; Sreedal Menon; Chiranjib Bhattacharyya (CoRR, 2014)

Temporally Coherent Chinese Restaurant Process for Discovery of Persons and Corresponding Tracklets from User-generated Videos. - Adway Mitra; Soma Biswas; Chiranjib Bhattacharyya (CoRR, 2014)

Relating Romanized Comments to News Articles by Inferring Multi-Glyphic Topical Correspondence. - Goutham Tholpadi; Mrinal Kanti Das; Trapit Bansal; Chiranjib Bhattacharyya (AAAI, 2015)

Translation Induction on Indian Language Corpora Using Translingual Themes from Other Languages. - Goutham Tholpadi; Chiranjib Bhattacharyya; Shirish K. Shevade (CICLing (1), 2015)

Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models. - Mrinal Kanti Das; Trapit Bansal; Chiranjib Bhattacharyya (ICML, 2015)

EntScene: Nonparametric Bayesian Temporal Segmentation of Videos Aimed at Entity-Driven Scene Detection. - Adway Mitra; Chiranjib Bhattacharyya; Soma Biswas (IJCAI, 2015)

Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization. - Fredrik D. Johansson; Ankani Chattoraj; Chiranjib Bhattacharyya; Devdatt P. Dubhashi (NIPS, 2015)

Spectral Norm Regularization of Orthonormal Representations for Graph Transduction. - Rakesh Shivanna; Bibaswan K. Chatterjee; Raman Sankaran; Chiranjib Bhattacharyya; Francis R. Bach (NIPS, 2015)

Content Driven User Profiling for Comment-Worthy Recommendations of News and Blog Articles. - Trapit Bansal; Mrinal Kanti Das; Chiranjib Bhattacharyya (RecSys, 2015)

Temporally Coherent CRP: A Bayesian Non-Parametric Approach for Clustering Tracklets with applications to Person Discovery in Videos. - Adway Mitra; Soma Biswas; Chiranjib Bhattacharyya (SDM, 2015)

Mining Block I/O Traces for Cache Preloading with Sparse Temporal Non-parametric Mixture of Multivariate Poisson. - Lavanya Sita Tekumalla; Chiranjib Bhattacharyya (SDM, 2015)

Non-negative Matrix Factorization under Heavy Noise. - Chiranjib Bhattacharyya; Navin Goyal; Ravindran Kannan; Jagdeep Pani (ICML, 2016)

Copula-HDP-HMM: Non-parametric Modeling of Temporal Multivariate Data for I/O Efficient Bulk Cache Preloading. - Lavanya Sita Tekumalla; Chiranjib Bhattacharyya (SDM, 2016)

HLaffy: estimating peptide affinities for Class-1 HLA molecules by learning position-specific pair potentials. - Sumanta Mukherjee; Chiranjib Bhattacharyya; Nagasuma Chandra (Bioinform., 2016)

Identifying Groups of Strongly Correlated Variables through Smoothed Ordered Weighted L1-norms. - Raman Sankaran; Francis R. Bach; Chiranjib Bhattacharyya (AISTATS, 2017)

SOPER: Discovering the Influence of Fashion and the Many Faces of User from Session Logs using Stick Breaking Process. - Lucky Dhakad; Mrinal Kanti Das; Chiranjib Bhattacharyya; Samik Datta; Mihir Kale; Vivek Mehta (CIKM, 2017)

Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery. - Ashkan Panahi; Devdatt P. Dubhashi; Fredrik D. Johansson; Chiranjib Bhattacharyya (ICML, 2017)

Vine copulas for mixed data : multi-view clustering for mixed data beyond meta-Gaussian dependencies. - Lavanya Sita Tekumalla; Vaibhav Rajan; Chiranjib Bhattacharyya (Mach. Learn., 2017)

Bayesian Modeling of Temporal Coherence in Videos for Entity Discovery and Summarization. - Adway Mitra; Soma Biswas; Chiranjib Bhattacharyya (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Corpus-Based Translation Induction in Indian Languages Using Auxiliary Language Corpora from Wikipedia. - Goutham Tholpadi; Chiranjib Bhattacharyya; Shirish K. Shevade (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2017)

Convex Optimization over Intersection of Simple Sets: improved Convergence Rate Guarantees via an Exact Penalty Approach. - Achintya Kundu; Francis R. Bach; Chiranjib Bhattacharyya (AISTATS, 2018)

RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information. - Shikhar Vashishth; Rishabh Joshi; Sai Suman Prayaga; Chiranjib Bhattacharyya; Partha P. Talukdar (EMNLP, 2018)

Weight-Agnostic Hierarchical Stick-Breaking Process. - Mrinal Kanti Das; Chiranjib Bhattacharyya (ICBK, 2018)

Using Inherent Structures to design Lean 2-layer RBMs. - Abhishek Bansal 004; Abhinav Anand; Chiranjib Bhattacharyya (ICML, 2018)

Graph Convolutional Networks based Word Embeddings. - Shikhar Vashishth; Prateek Yadav; Manik Bhandari; Piyush Rai; Chiranjib Bhattacharyya; Partha P. Talukdar (CoRR, 2018)

How Many Pairwise Preferences Do We Need to Rank a Graph Consistently? - Aadirupa Saha; Rakesh Shivanna; Chiranjib Bhattacharyya (AAAI, 2019)

Word2Sense: Sparse Interpretable Word Embeddings. - Abhishek Panigrahi; Harsha Vardhan Simhadri; Chiranjib Bhattacharyya (ACL (1), 2019)

Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks. - Shikhar Vashishth; Manik Bhandari; Prateek Yadav; Piyush Rai; Chiranjib Bhattacharyya; Partha P. Talukdar (ACL (1), 2019)

Optimizing DNN Architectures for High Speed Autonomous Navigation in GPS Denied Environments on Edge Devices. - Prafull Prakash; Chaitanya Murti; J. Saketha Nath; Chiranjib Bhattacharyya (PRICAI (2), 2019)

Be Greedy: How Chromatic Number meets Regret Minimization in Graph Bandits. - Aadirupa Saha; Shreyas Sheshadri; Chiranjib Bhattacharyya (UAI, 2019)

Regulating Drones in Restricted Spaces. - Abhishek Vijeev; Vinod Ganapathy; Chiranjib Bhattacharyya (HotMobile, 2019)

Finding a latent k-simplex in O(k . nnz(data)) time via Subset Smoothing. - Chiranjib Bhattacharyya; Ravindran Kannan (CoRR, 2019)

Near-optimal sample complexity bounds for learning Latent k-polytopes and applications to Ad-Mixtures. - Chiranjib Bhattacharyya; Ravindran Kannan (ICML, 2020)

Learning With Subquadratic Regularization : A Primal-Dual Approach. - Raman Sankaran; Francis R. Bach; Chiranjib Bhattacharyya (IJCAI, 2020)

Finding a latent k-simplex in O* (k · nnz(data)) time via Subset Smoothing. - Chiranjib Bhattacharyya; Ravindran Kannan (SODA, 2020)

On the Unreasonable Effectiveness of Knowledge Distillation: Analysis in the Kernel Regime. - Arman Rahbar; Ashkan Panahi; Chiranjib Bhattacharyya; Devdatt P. Dubhashi; Morteza Haghir Chehreghani (CoRR, 2020)

Algorithms for finding k in k-means. - Chiranjib Bhattacharyya; Ravindran Kannan; Amit Kumar 001 (CoRR, 2020)

Dynamic to Static Lidar Scan Reconstruction Using Adversarially Trained Auto Encoder. - Prashant Kumar; Sabyasachi Sahoo; Vanshil Shah; Vineetha Kondameedi; Abhinav Jain; Akshaj Verma; Chiranjib Bhattacharyya; Vinay Vishwanath (AAAI, 2021)

Rawlsian Fair Adaptation of Deep Learning Classifiers. - Kulin Shah; Pooja Gupta; Amit Deshpande 001; Chiranjib Bhattacharyya (AIES, 2021)

Learning a Latent Simplex in Input Sparsity Time. - Ainesh Bakshi; Chiranjib Bhattacharyya; Ravi Kannan; David P. Woodruff; Samson Zhou (ICLR, 2021)

Finding k in Latent k- polytope. - Chiranjib Bhattacharyya; Ravindran Kannan; Amit Kumar 001 (ICML, 2021)

Can Non-Humanoid Social Robots Reduce Workload of Special Educators : An Online and In-Premises Field Study. - Nabanita Paul; Siddharth Ramesh; Chiranjib Bhattacharyya; Jayashree Ramesh; Priya Vijayan (ICRA, 2021)

DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder. - Prashant Kumar; Sabyasachi Sahoo; Vanshil Shah; Vineetha Kondameedi; Abhinav Jain; Akshaj Verma; Chiranjib Bhattacharyya; Vinay Viswanathan (CoRR, 2021)

Predicting the DNA Conductance Using a Deep Feedforward Neural Network Model. - Abhishek Aggarwal; Vinayak Vinayak; Saientan Bag; Chiranjib Bhattacharyya; Umesh V. Waghmare; Prabal K. Maiti (J. Chem. Inf. Model., 2021)

Analysis of Knowledge Transfer in Kernel Regime. - Ashkan Panahi; Arman Rahbar; Chiranjib Bhattacharyya; Devdatt P. Dubhashi; Morteza Haghir Chehreghani (CIKM, 2022)

When to Intervene: Learning Optimal Intervention Policies for Critical Events. - Niranjan Damera Venkata; Chiranjib Bhattacharyya (NeurIPS, 2022)

How many Clusters? - An algorithmic answer. - Chiranjib Bhattacharyya; Ravindran Kannan; Amit Kumar 001 (SODA, 2022)

Reliable quantum kernel classification using fewer circuit evaluations. - Abhay Shastry; Abhijith Jayakumar; Apoorva D. Patel; Chiranjib Bhattacharyya (CoRR, 2022)

BNSynth: Bounded Boolean Functional Synthesis. - Ravi Raja; Stanly Samuel; Chiranjib Bhattacharyya; Deepak D'Souza; Aditya Kanade 001 (CoRR, 2022)

TVSPrune - Pruning Non-discriminative filters via Total Variation separability of intermediate representations without fine tuning. - Chaitanya Murti; Tanay Narshana; Chiranjib Bhattacharyya (ICLR, 2023)

DFPC: Data flow driven pruning of coupled channels without data. - Tanay Narshana; Chaitanya Murti; Chiranjib Bhattacharyya (ICLR, 2023)

Deep Recurrent Optimal Stopping. - Niranjan Damera Venkata; Chiranjib Bhattacharyya (NeurIPS, 2023)

LP-based Construction of DC Decompositions for Efficient Inference of Markov Random Fields. - Chaitanya Murti; Dhruva Kashyap; Chiranjib Bhattacharyya (AISTATS, 2024)

Random Separating Hyperplane Theorem and Learning Polytopes. - Chiranjib Bhattacharyya; Ravindran Kannan; Amit Kumar 001 (ICALP, 2024)

DisCEdit: Model Editing by Identifying Discriminative Components. - Chaitanya Murti; Chiranjib Bhattacharyya (NeurIPS, 2024)

Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms. - Marc Wanner; Laura Lewis; Chiranjib Bhattacharyya; Devdatt P. Dubhashi; Alexandru Gheorghiu (NeurIPS, 2024)

CheXwhatsApp: A Dataset for Exploring Challenges in the Diagnosis of Chest X-rays through Mobile Devices. - Mariamma Antony; Rajiv Porana; Sahil M. Lathiya; Siva Teja Kakileti; Chiranjib Bhattacharyya (CVPR, 2025)

LevAttention: Time, Space and Streaming Efficient Algorithm for Heavy Attentions. - Ravindran Kannan; Chiranjib Bhattacharyya; Praneeth Kacham; David P. Woodruff (ICLR, 2025)

DO-EM: Density Operator Expectation Maximization. - Adit Vishnu; Abhay Shastry; Dhruva Kashyap; Chiranjib Bhattacharyya (CoRR, 2025)