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Prasanna, HM and Ghose, D and Bhat, MS and Bhattacharyya, C and Umakant, J (2005) Ascent Phase Trajectory Optimization for a Hypersonic Vehicle Using Nonlinear Programming. [Book Chapter]
Kumar, P and Sahoo, S and Shah, V and Kondameedi, V and Jain, A and Verma, A and Bhattacharyya, C and Viswanathan, V (2021) DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder. In: 35th AAAI Conference on Artificial Intelligence, AAAI 2021, 2 February 2021 through 9 February 2021, Virtual, pp. 1836-1844.
Vijeev, A and Ganapathy, V and Bhattacharyya, C (2019) Regulating drones in restricted spaces. In: HotMobile 2019 - Proceedings of the 20th International Workshop on Mobile Computing Systems and Applications, 27 February 2019 through 28 February 2019; Code 145670, United States, pp. 27-32.
Venkata, ND and Bhattacharyya, C (2022) When to Intervene: Learning Optimal Intervention Policies for Critical Events. In: 36th Conference on Neural Information Processing Systems, NeurIPS 2022, 28 - 9 December 2022, New Orleans.
Panahi, A and Rahbar, A and Bhattacharyya, C and Dubhashi, D and Haghir Chehreghani, M (2022) Analysis of Knowledge Transfer in Kernel Regime. In: 31st ACM International Conference on Information and Knowledge Management, CIKM 2022, 17 - 21 October 2022, Atlanta, pp. 1615-1624.
Shah, K and Gupta, P and Deshpande, A and Bhattacharyya, C (2021) Rawlsian Fair Adaptation of Deep Learning Classifiers. In: 4th AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society, AIES 2021, 19-21 May 2021, pp. 936-945.
Shreyas, SS and Saha, AN and Bhattacharyya, C (2020) Be Greedy: How Chromatic Number meets Regret Minimization in Graph Bandits. In: 35th Conference on Uncertainty in Artificial Intelligence, UAI 2019, 22-25 July 2019, Tel Aviv; Israel.
Sankaran, R and Bach, F and Bhattacharyya, C (2020) Learning with subquadratic regularization: A primal-dual approach. In: IJCAI International Joint Conference on Artificial Intelligence, 1 January 2021, Yokohama, pp. 1963-1969.
Bhattacharyya, C and Kannan, R (2020) Finding a latent k�simplex in O� (k · nnz(data)) time via Subset Smoothing. In: 31st Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2020, 5-8 January 2020, Salt Lake City; United States, pp. 122-140.
Bhattacharyya, C and Kannan, R (2020) Near-optimal sample complexity bounds for learning latent k-polytopes and applications to ad-mixtures. In: 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, virtual, online, pp. 831-840.
Prakash, P and Murti, C and Nath, S and Bhattacharyya, C (2019) Optimizing DNN Architectures for High Speed Autonomous Navigation in GPS Denied Environments on Edge Devices. In: 16th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2019, 26 - 30 August 2019, Yanuka Island, pp. 468-481.
Vijeev, A and Ganapathy, V and Bhattacharyya, C (2019) Regulating drones in restricted spaces. In: HotMobile 2019 - Proceedings of the 20th International Workshop on Mobile Computing Systems and Applications, 27 February 2019 through 28 February 2019, United States, pp. 27-32.
Saha, A and Shivanna, R and Bhattacharyya, C (2019) How many pairwise preferences do we need to rank a graph consistently? In: 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Annual Conference on Innovative Applications of Artificial Intelligence, 27 January - 1 February 2019, Hilton Hawaii VillageHonolulu; United States, pp. 4830-4837.
Dani, AM and Amrutur, B and Srikant, YN and Bhattacharyya, C (2012) TCP: thread contention predictor for parallel programs. In: 2012 20th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), 15-17 Feb. 2012, Garching.
Parsana, M and Bhattacharya, S and Bhattacharyya, C and Ramakrishnan, KR (2008) Kernels on attributed pointsets with applications. In: 21st Annual Conference on Neural Information Processing Systems, NIPS 2007, 3 - 6 December 2007.
Saketha Nath, J and Bhattacharyya, C (2007) Maximum Margin Classifiers with Specified False Positive and False Negative Error Rates. In: Proceedings of the SDM Conference.
Nath, Saketha J and Bhattacharyya, C and Murty, MN (2006) Clustering Based Large Margin Classification: A Scalable Approach using SOCP Formulation. In: KDD '06 Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining , 2006, New York, NY.
Antony, M and Kakileti, ST and Shah, R and Sahoo, S and Bhattacharyya, C and Manjunath, G (2023) Challenges of AI driven diagnosis of chest X-rays transmitted through smart phones: a case study in COVID-19. In: Scientific Reports, 13 (1).
Aggarwal, A and Vinayak, V and Bag, S and Bhattacharyya, C and Waghmare, UV and Maiti, PK (2021) Predicting the DNA Conductance Using a Deep Feedforward Neural Network Model. In: Journal of Chemical Information and Modeling, 61 . pp. 106-114.
Bhattacharyya, C and Vinay, V (2020) Suppress, and Not Just Flatten: Strategies for Rapid Suppression of COVID19 Transmission in Small World Communities. In: Journal of the Indian Institute of Science, 100 (4). pp. 849-862.
Bhattacharyya, C and Grate, LR and Jordan, MI and Ghaoui, El L and Mian, IS (2004) Robust Sparse Hyperplane Classifiers: Application to Uncertain Molecular Profiling Data. In: Journal of Computational Biology, 11 (6). pp. 1073-1089.
Keerthi, SS and Shevade, SK and Bhattacharyya, C and Murthy, KRK (2001) Improvements to Platt's SMO algorithm for SVM classifier design. In: Neural Computation, 13 (3). pp. 637-649.
Shevade, SK and Keerthi, SS and Bhattacharyya, C and Murthy, KRK (2000) Improvements to the SMO algorithm for SVM regression. In: IEEE Transactions on Neural Networks, 11 (5). pp. 1188-1193.
Bhattacharyya, C and Keerthi, Sathiya S (2000) Information geometry and Plefka’s mean-field theory. In: Journal of Physics A : Mathematical and General, 33 (7). pp. 1307-1312.
Keerthi, SS and Shevade, SK and Bhattacharyya, C and Murthy, KRK (2000) A Fast Iterative Nearest Point Algorithm for Support Vector Machine Classifier Design. In: IEEE Transactions on Neural Networks, 11 (1). pp. 124-136.
