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Naman, P and Simmhan, Y (2024) Optimizing Federated Learning Using Remote Embeddings for Graph Neural Networks. In: 30th International Conference on Parallel and Distributed Computing, Euro-Par 2024, 26 August 2024 through 30 August 2024, Madrid, pp. 470-484.
Scaria, N and Dharani Chenna, S and Subramani, D (2024) Automated Educational Question Generation at Different Bloom�s Skill Levels Using Large Language Models: Strategies and Evaluation. In: 25th International Conference on Artificial Intelligence in Education, AIED 2024, 8 July 2024through 12 July 2024, Recife, Brazil., pp. 165-179.
Chandra, G and Gibney, D and Jain, C (2024) Haplotype-Aware Sequence Alignment to Pangenome Graphs. In: 28th International Conference on Research in Computational Molecular Biology., 29 April 2024 through 2 May 2024, Cambridge, pp. 381-384.
Govindarajan, S and Sarkar, S (2024) Improved Algorithms for Minimum-Membership Geometric Set Cover. In: UNSPECIFIED, pp. 103-116.
Sumanth Prabhu, S and Fedyukovich, G and D�Souza, D (2024) Maximal Quantified Precondition Synthesis for Linear Array Loops. In: UNSPECIFIED, pp. 245-274.
Bharti, P and Bhide, S and Savaliya, C (2024) Navigating Real-To-Virtual Onboarding: A Holistic Exploration and Framework for Immersive Transitions. In: 16th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2024, held as part of the 26th HCI International Conference, HCII 2024, 29 June 2024through 4 July 2024, Washington, USA, pp. 3-15.
Abraham, I and Asharov, G and Patil, S and Patra, A (2024) Perfect Asynchronous MPC with Linear Communication Overhead. In: 43rd Annual International Conference on the Theory and Applications of Cryptographic Techniques, EUROCRYPT 2024, 26 May 2024through 30 May 2024, Zurich, Switzerland, pp. 280-309.
Suresh, VP and Pai, R and D�Souza, D and D�Souza, M and Chakrabarti, SK (2024) Static Race Detection for Periodic Real-Time Programs with IPCP Locks. [Book Chapter]
Dutta, M and Ganesh, C and Jawalkar, N (2024) Succinct Verification of Compressed Sigma Protocols in the Updatable SRS Setting. In: 27th IACR International Conference on Practice and Theory of Public Key Cryptography, PKC 2024, 15 April 2024through 17 April 2024, Sydney, pp. 305-336.
Antony, D and Chandran, LS and Gayen, A and Gosavi, S and Jacob, S (2024) Total Domination, Separated-Cluster, CD-Coloring: Algorithms and Hardness. In: 16th Latin American Symposium on Theoretical Informatics, LATIN 2042, 18 March 2024through 22 March 2024, Puerto Varas, pp. 97-113.
Sumanth Prabhu, S and DâSouza, D and Chakraborty, S and Venkatesh, R and Fedyukovich, G (2024) Weakest Precondition Inference for Non-Deterministic Linear Array Programs. In: 30th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2024, 6 April 2024 - 11 April 2024, Luxembourg City, pp. 175-195.
Gorantla, S and Gowda, KN and Deshpande, A and Louis, A (2023) Socially Fair Center-Based and Linear Subspace Clustering. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2023, 18-22 September 2023, Turin, pp. 727-742.
Chandra, G and Jain, C (2023) Sequence to Graph Alignment Using Gap-Sensitive Co-linear Chaining. In: 27th International Conference on Research in Computational Molecular Biology, RECOMB 2023, 16 - 19 April 2023, Istanbul, pp. 58-73.
Gokhale, P and Keil, JM and Mondal, D (2023) Improved and Generalized Algorithms for Burning a Planar Point Set. In: 17th International Conference and Workshops on Algorithms and Computation, WALCOM 2023, 22-24 March 2023, Hsinchu, pp. 90-101.
Mondal, B and Biswas, S (2023) SEIC: Semantic Embedding with Intermediate Classes for Zero-Shot Domain Generalization. In: 16th Asian Conference on Computer Vision, ACCV 2022, 4-8 December 2022, Macao, pp. 333-350.
Bajpai, R and Hazarika, D and Singh, K and Gorantla, S and Cambria, E and Zimmermann, R (2023) Aspect-Sentiment Embeddings for Company Profiling and Employee Opinion Mining. In: 19th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2018, 18-24 March 2018, Hanoi, pp. 142-160.
Sreenivas, M and Takamuku, S and Biswas, S and Chepuri, A and Vengatesan, B and Natori, N (2023) Improved Cross-Dataset Facial Expression Recognition by Handling Data Imbalance and Feature Confusion. In: 17th European Conference on Computer Vision, ECCV 2022, 23-27 October 2022, Tel Aviv, pp. 262-277.
Caragiannis, I and Narang, S (2023) Repeatedly Matching Items to Agents Fairly and Efficiently. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 981 .
Balachandran, N and Hebbar, A (2023) Cyclability, Connectivity and Circumference. In: 9th International Conference on Algorithms and Discrete Applied Mathematics, CALDAM 2023, 9-11 February 2023, Gandhinagar, pp. 257-268.
Kumar, JSS and Komondoor, R (2023) Controller Synthesis for Reactive Systems with Communication Delay by Formula Translation. In: UNSPECIFIED, pp. 292-311.
Campanelli, M and Ganesh, C and Khoshakhlagh, H and Siim, J (2023) Impossibilities in Succinct Arguments: Black-Box Extraction and More. In: 14th International Conference on Cryptology in Africa, AFRICACRYPT 2023, 19-21 July 2023, Sousse, pp. 465-489.
Abraham, I and Asharov, G and Patil, S and Patra, A (2022) Asymptotically Free Broadcast in Constant Expected Time via Packed VSS. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7 - 10 November 2022, Chicago, pp. 384-414.
Ishai, Y and Patra, A and Patranabis, S and Ravi, D and Srinivasan, A (2022) Fully-Secure MPC with Minimal Trust. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7 - 10 November 2022, Chicago, pp. 470-501.
Barman, S and Krishna, A and Narahari, Y and Sadhukhan, S (2022) Nash Welfare Guarantees for Fair and Efficient Coverage. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2 - 15 December 2022, Troy, pp. 256-272.
Alon, B and Nissenbaum, O and Omri, E and Paskin-Cherniavsky, A and Patra, A (2022) On Perfectly Secure Two-Party Computation for Symmetric Functionalities with Correlated Randomness. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7 - 10 November 2022, Chicago, pp. 532-561.
Sreedurga, G (2022) Participatory Budgeting: Fairness and Welfare Maximization. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14 - 16 September 2022, Düsseldorf, pp. 439-443.
Applebaum, B and Kachlon, E and Patra, A (2022) Round-Optimal Honest-Majority MPC in Minicrypt and with Everlasting Security: (Extended Abstract). In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7 - 10 November 2022, Chicago, pp. 103-120.
Kundu, JN and Bhambri, S and Kulkarni, A and Sarkar, H and Jampani, V and Babu, RV (2022) Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 27 October 2022, Tel Aviv, pp. 177-194.
Chowdhury, T and Chanda, S and Bhattacharya, S and Biswas, S and Pal, U (2022) Contact-Less Heart Rate Detection in Low Light Videos. In: 6th Asian Conference on Pattern Recognition, ACPR 2021, 9-12 November 2021, Virtual, Online, South Korea, pp. 77-91.
Manam, L and Govindu, VM (2022) Correspondence Reweighted Translation Averaging. In: 17th European Conference on Computer Vision, ECCV 2022, 23 - 27 October 2022, Tel Aviv, pp. 56-72.
Kanthuru, VA and Rajasegarar, S and Rathore, P and Doss, RRM and Pan, L and Ray, B and Chowdhury, M and Srimathi, C and Durai, MAS (2022) Cyber Attack Detection in IoT Networks with Small Samples: Implementation And Analysis. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 28 - 30 November 2022, Brisbane, pp. 118-130.
Milardo, S and Rathore, P and Santi, P and Ratti, C (2022) A Data-Driven Framework for Driving Style Classification. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 28 - 30 November 2022, Brisbane, pp. 253-265.
Joseph, KJ and Paul, S and Aggarwal, G and Biswas, S and Rai, P and Han, K and Balasubramanian, VN (2022) Novel Class Discovery Without Forgetting. In: 17th European Conference on Computer Vision, ECCV 2022, 23 - 27 October 2022, Tel Aviv, pp. 570-586.
Addepalli, S and Jain, S and Sriramanan, G and Venkatesh Babu, R (2022) Scaling Adversarial Training to Large Perturbation Bounds. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 27 October 2022, Tel Aviv, pp. 301-316.
Babu Sam, D and Agarwalla, A and Joseph, J and Sindagi, VA and Babu, RV and Patel, VM (2022) Completely Self-supervised Crowd Counting via Distribution Matching. In: 17th European Conference on Computer Vision, ECCV 2022, 23 - 27 October 2022, Tel Aviv, pp. 186-204.
Karmali, T and Parihar, R and Agrawal, S and Rangwani, H and Jampani, V and Singh, M and Babu, RV (2022) Hierarchical Semantic Regularization of Latent Spaces in StyleGANs. In: 17th European Conference on Computer Vision, ECCV 2022, 23 - 27 October 2022, Tel Aviv, pp. 443-459.
Rangwani, H and Jaswani, N and Karmali, T and Jampani, V and Babu, RV (2022) Improving GANs for Long-Tailed Data Through Group Spectral Regularization. In: 17th European Conference on Computer Vision, ECCV 2022, 23 - 27 October 2022, Tel Aviv, pp. 426-442.
Kalla, J and Biswas, S (2022) S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning. In: 17th European Conference on Computer Vision, ECCV 2022, 23 - 27 October 2022, Tel Aviv, pp. 432-448.
Chandran, N and Kanukurthi, B and Obbattu, SLB and Sekar, S (2022) Short Leakage Resilient and Non-malleable Secret Sharing Schemes. In: 42nd Annual International Cryptology Conference, CRYPTO 2022, 15 - 18 August 2022, Santa Barbara, pp. 178-207.
Addepalli, S and Bhogale, K and Dey, P and Babu, RV (2022) Towards Efficient and Effective Self-supervised Learning of Visual Representations. In: 17th European Conference on Computer Vision, ECCV 2022, 23 - 27 October 2022, Tel Aviv, pp. 523-538.
Ganesh, C and Khoshakhlagh, H and Parisella, R (2022) NIWI and New Notions of Extraction for Algebraic Languages. In: 13th International Conference on Security and Cryptography for Networks, SCN 2022, 12 - 14 September 2022, Amalfi, pp. 687-710.
Ganesh, C and Khoshakhlagh, H and Kohlweiss, M and Nitulescu, A and ZajÄ c, M (2022) What Makes Fiat–Shamir zkSNARKs (Updatable SRS) Simulation Extractable? In: 13th International Conference on Security and Cryptography for Networks, SCN 2022, 12 - 14 September 2022, Amalfi, pp. 735-760.
Applebaum, B and Ishai, Y and Karni, O and Patra, A (2022) Quadratic Multiparty Randomized Encodings Beyond Honest Majority and Their Applications. In: 42nd Annual International Cryptology Conference, CRYPTO 2022, 15 August 2022 - 18 August 2022, Barbara, pp. 453-482.
Applebaum, B and Kachlon, E and Patra, A (2022) Verifiable Relation Sharing and Multi-verifier Zero-Knowledge in Two Rounds: Trading NIZKs with Honest Majority: (Extended Abstract). In: 42nd Annual International Cryptology Conference, CRYPTO 2022, 15 - 18 August 2022, Santa Barbara, pp. 33-56.
Tiwari, M and Vadhiyar, S (2022) Communication Overlapping Pipelined Conjugate Gradients for Distributed Memory Systems and Heterogeneous Architectures. In: 27th International Conference on Parallel and Distributed Computing, Euro-Par 2021, 30 - 31 August 2021, Virtual, Online, pp. 535-539.
Ganesh, C and Orlandi, C and Pancholi, M and Takahashi, A and Tschudi, D (2022) Fiat–Shamir Bulletproofs are Non-Malleable (in the Algebraic Group Model). In: 41st Annual International Conference on the Theory and Applications of Cryptographic Techniques, EUROCRYPT 2022, 30 May - 3 June 2022, Trondheim, pp. 397-426.
Jain, C and Gibney, D and Thankachan, SV (2022) Co-linear Chaining with Overlaps and Gap Costs. In: 26th International Conference on Research in Computational Molecular Biology, RECOMB 2022, 22 - 25 May 2022, San Diego, pp. 246-262.
Suresh, VP and Pai, R and DSouza, D and DSouza, M and Chakrabarti, SK (2022) Static Race Detection for Periodic Programs. In: European Joint Conferences on Theory and Practice of Software, ETAPS 2022, 5-7 April 2022, Munich, pp. 290-316.
Aranha, DF and Bennedsen, EM and Campanelli, M and Ganesh, C and Orlandi, C and Takahashi, A (2022) ECLIPSE: Enhanced Compiling Method for Pedersen-Committed zkSNARK Engines. In: 25th IACR International Conference on Practice and Theory of Public-Key Cryptography, PKC 2022, 8 March 2022 through 11 March 2022, Virtual, Online, pp. 584-614.
Sharma, VK and Murthy, LRD and Biswas, P (2022) Enabling Learning Through Play: Inclusive Gaze-Controlled Human-Robot Interface for Joystick-Based Toys. In: 14th International Conference on Social Robotics, ICSR 2022, 13 - 16 December 2022, Florence, pp. 452-461.
Barman, S and Verma, P (2022) Approximating Nash Social Welfare Under Binary XOS and Binary Subadditive Valuations. In: 17th International Conference on Web and Internet Economics, WINE 2021, 14 - 17 December 2021, Virtual, Online, pp. 373-390.
Hegde, A and Koti, N and Kukkala, VB and Patil, S and Patra, A and Paul, P (2022) Attaining GOD Beyond Honest Majority with Friends and Foes. In: 8th International Conference on the Theory and Application of Cryptology and Information Security, ASIACRYPT 2022, 5 - 9 December 2022, Taipei, pp. 556-587.
Shanmugasundaram, P and Bhatnagar, S (2022) Co-operative Multi-agent Twin Delayed DDPG for Robust Phase Duration Optimization of Large Road Networks. In: 14th International Conference on Agents and Artificial Intelligence, ICAART 2022, 3 - 5 February 2022, Virtual, Online, pp. 122-142.
Patel, R and Enaganti, I and Bhardwaj, MR and Narahari, Y (2022) A Data-Driven, Farmer-Oriented Agricultural Crop Recommendation Engine (ACRE). In: 10th International Conference on Big Data Analytics, BDA 2022, 19 - 22 December 2022, Hyderabad, 227 – 248.
Chatterjee, S and Pandit, T (2022) Efficient IBS from a New Assumption in the Multivariate-Quadratic Setting. In: 23rd International Conference on Cryptology, INDOCRYPT 2022, 11- 14 December 2022, Kolkata, pp. 679-696.
Chatterjee, S and Das, MPL and Pandit, T (2022) Revisiting the Security of Salted UOV Signature. In: 23rd International Conference on Cryptology, INDOCRYPT 2022, 11 December - 14 December 2022, Kolkata, pp. 697-719.
Tiwari, M and Vadhiyar, S (2022) Strategies for Efficient Execution of Pipelined Conjugate Gradient Method on GPU Systems. In: 37th International Conference on High Performance Computing , ISC High Performance 2022, 29 May - 2 June 2022, Hamburg, pp. 77-89.
Ganesh, C and Orlandi, C and Tschudi, D and Zohar, A (2022) Virtual ASICs: Generalized Proof-of-Stake Mining in Cryptocurrencies. In: 16th International Workshop on Data Privacy Management, DPM 2021, and 5th International Workshop on Cryptocurrencies and Blockchain Technology, CBT 2021 held in conjunction with ESORICS 2021, 8 October 2021, Virtual, Online, pp. 173-191.
Anoop, CS and Ramakrishnan, AG (2021) Investigation of Different G2P Schemes for Speech Recognition in Sanskrit. In: 28th International Conference on Neural Information Processing, ICONIP 2021, 8 - 12 Dec 2021, Virtual, Online, pp. 536-547.
Khanna, Y and Louis, A and Paul, R (2021) Independent Sets in Semi-random Hypergraphs. In: Lecture Notes in Computer Science, 9 August - 11 August 2021, Virtual, Online, pp. 528-542.
Damgård, I and Ganesh, C and Khoshakhlagh, H and Orlandi, C and Siniscalchi, L (2021) Balancing Privacy and Accountability in Blockchain Identity Management. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 17 - 20 May 2021, Virtual, Online, pp. 552-576.
Athaiya, S and Komondoor, R and Kumar, KN (2021) Data Flow Analysis of Asynchronous Systems using Infinite Abstract Domains. In: 30th European Symposium on Programming, ESOP 2021, 27 March - 1 April 2021, Luxembourg, pp. 30-58.
Chakraborty, D and Chandran, LS and Padinhatteeri, S and Pillai, RR (2021) Algorithms and Complexity of s-Club Cluster Vertex Deletion. In: 32nd International Workshop on Combinatorial Algorithms, IWOCA 2021, 5-7 Jul 2021, pp. 152-164.
Bandyopadhyay, S and Aggarwal, M and Murty, MN (2021) A Deep Hybrid Pooling Architecture for Graph Classification with Hierarchical Attention. In: 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 11-14 May 2021, pp. 554-565.
Vijaikumar, M and Shevade, S and Murty, MN (2021) GRAM-SMOT: Top-N Personalized Bundle Recommendation via Graph Attention Mechanism and Submodular Optimization. In: European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, 14-18 Sep 2020, pp. 297-313.
Yadati, N and Gao, T and Asoodeh, S and Talukdar, P and Louis, A (2021) Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs. In: 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 11-14 May 2021, pp. 447-458.
Chatterjee, S and Dimri, A and Pandit, T (2021) Identity-Based Signature and Extended Forking Algorithm in the Multivariate Quadratic Setting. In: 22nd International Conference on Cryptology in India, INDOCRYPT 2021, 12 - 15 Dec 2021, Jaipur, pp. 387-412.
Patel, D and Sastry, PS (2021) Memorization in Deep Neural Networks: Does the Loss Function Matter? In: 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 11-14 May 2021, pp. 131-142.
Awasthi, N and Pardasani, R and Gupta, S (2021) Multi-threshold Attention U-Net (MTAU) Based Model for Multimodal Brain Tumor Segmentation in MRI Scans. In: 6th International MICCAI Brainlesion Workshop, BrainLes 2020, 4 Oct 2020, pp. 168-178.
Vijaikumar, M and Shevade, S and Murty, MN (2021) Neural Cross-Domain Collaborative Filtering with Shared Entities. In: European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, 14-18 Sep 2020, pp. 729-745.
Chandran, LS and Das, SK and Hell, P and Padinhatteeri, S and Pillai, RR (2021) Template-Driven Rainbow Coloring of Proper Interval Graphs. In: 7th International Conference on Algorithms and Discrete Applied Mathematics, 11-13 Feb 2021, Rupnagar, pp. 452-470.
Sanghi, A and Santhanam, R and Haritsa, JR (2021) Towards Generating HiFi Databases. In: 26th International Conference on Database Systems for Advanced Applications, DASFAA 2021, 11-14 Apr 2021, Taipei, pp. 105-112.
Patra, A and Ravi, D and Singla, S (2020) On the Exact Round Complexity of Best-of-Both-Worlds Multi-party Computation. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7 December 2020 through 11 December 2020, Daejeon; South Korea, pp. 60-91.
Barman, S and Bhaskar, U and Shah, N (2020) Optimal Bounds on the Price of Fairness for Indivisible Goods. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7-11 December 2020, Beijing; China, pp. 356-369.
Chatterjee, S and Kabaleeshwaran, R (2020) From Rerandomizability to Sequential Aggregation: Efficient Signature Schemes Based on SXDH Assumption. In: 25th Australasian Conference on Information Security and Privacy, ACISP 2020, 30th Nov.-2nd Dec.,2020, Perth; Australia, pp. 183-203.
Kundu, JN and Rakesh, M and Jampani, V and Venkatesh, RM and Venkatesh Babu, R (2020) Appearance Consensus Driven Self-supervised Human Mesh Recovery. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 28 August 2020, Glasgow, pp. 794-812.
Kundu, JN and Venkatesh, RM and Venkat, N and Revanur, A and Babu, RV (2020) Class-Incremental Domain Adaptation. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 28 August 2020, Glasgow, pp. 53-69.
Sindagi, VA and Yasarla, R and Babu, DS and Babu, RV and Patel, VM (2020) Learning to Count in the Crowd from Limited Labeled Data. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 28 August 2020, Glasgow, pp. 212-229.
Chowdhury, R and Subramani, DN (2020) Physics-Driven Machine Learning for Time-Optimal Path Planning in Stochastic Dynamic Flows. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2- 4 October 2020, Boston, pp. 293-301.
Prabhakar, KR and Agrawal, S and Singh, DK and Ashwath, B and Babu, RV (2020) Towards Practical and Efficient High-Resolution HDR Deghosting with CNN. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 28 August 2020, Glasgow, pp. 497-513.
Dutta, T and Singh, A and Biswas, S (2020) Adaptive Margin Diversity Regularizer for Handling Data Imbalance in Zero-Shot SBIR. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 28 August 2020, Glasgow, pp. 349-364.
Tripathi, A and Dani, RR and Mishra, A and Chakraborty, A (2020) Sketch-Guided Object Localization in Natural Images. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 28 August 2020, Glasgow, pp. 532-547.
Kundu, JN and Revanur, A and Waghmare, GV and Venkatesh, RM and Babu, RV (2020) Unsupervised Cross-Modal Alignment for Multi-person 3D Pose Estimation. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23-28 August 2020, Glasgow, pp. 35-52.
Ezudheen, P and Afzal, ZR and Prabhakar, P and D'Souza, D and D'Souza, M (2020) Verifying Band Convergence for Sampled Control Systems. In: 12th International Symposium on NASA Formal Methods, NFM 2020, 11-15, May 2020, Moffett Field; United States, pp. 329-349.
Malakar, P and Natarajan, V and Vadhiyar, SS (2020) Adaptive and efficient transfer for online remote visualization of critical weather applications. In: 20th International Conference on Computational Science, 3-5, June 2020, Netherlands, pp. 674-693.
Vijaikumar, M and Shevade, S and Narasimha Murty, M (2020) GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation. In: 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 11-14 May 2020, Singapore, pp. 28-40.
Chandran, LS and Padinhatteeri, S and Ravi Shankar, K (2020) List Distinguishing Number of pth Power of Hypercube and Cartesian Powers of a Graph. In: 6th International Conference on Algorithms and Discrete Applied Mathematics, 13-15 FEB 2020, Hyderabad, pp. 235-247.
Patil, P and Sharma, G and Murty, MN (2020) Negative Sampling for Hyperlink Prediction in Networks. In: 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, 11-14 May 2020, Singapore; Singapore, pp. 607-619.
Vijaikumar, M and Shevade, S and Murty, MN (2020) SoRecGAT: Leveraging Graph Attention Mechanism for Top-N Social Recommendation. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2019, 16-20 September 2019, Wurzburg; Germany, pp. 430-446.
Barman, S and Fawzi, O and Ghoshal, S and Gürpınar, E (2020) Tight Approximation Bounds for Maximum Multi-coverage. In: 21st International Conference on Integer Programming and Combinatorial Optimization, IPCO 2020, 8-10 Jun 2020, London, pp. 66-77.
Garg, D and Shirolkar, P and Shukla, A and Simmhan, Y (2020) TorqueDB: Distributed querying of time-series data from edge-local storage. In: 26th International European Conference on Parallel and Distributed Computing, Euro-Par 2020, 24-28 August 2020, Warsaw; Poland, pp. 281-295.
Haque, I and DâSouza, D and Habeeb, P and Kundu, A and Babu, G (2020) Verification of a Generative Separation Kernel. In: 18th International Symposium on Automated Technology for Verification and Analysis, ATVA 2020, 19-23 October 2020, Hanoi; Viet Nam, pp. 305-322.
Applebaum, B and Kachlon, E and Patra, A (2020) The resiliency of MPC with low interaction: The benefit of making errors (extended abstract). In: 18th International Conference on Theory of Cryptography, TCCC 2020, 16 November 2020 through 19 November 2020, Durham; United States, pp. 562-594.
Kulkarni, V and Emelyanov, P and Ponomaryov, D and Krishna, M and Raha, S and Nandy, SK (2019) Parallel Factorization of Boolean Polynomials. In: 12th International Andrei P. Ershov Informatics Conference, PSI 2019; Novosibirsk; Russian Federation, 2-5 July 2019, Novosibirsk; Russian Federation, pp. 80-94.
Mishra, A and Singh, AK (2019) Deep Embedding Using Bayesian Risk Minimization with Application to Sketch Recognition. In: 14th Asian Conference on Computer Vision, ACCV 2018, 2 December 2018 - 6 December 2018, Perth, pp. 357-370.
Simmhan, Yogesh and Choudhury, Neel (2019) Distributed Graph Analytics. In: 16th International Conference on Distributed Computing and Internet Technology, ICDCIT 2020, 9 January 2020 - 12 January 2020, Hyderabad, pp. 3-20.
Arunachaleswaran, ER and Barman, S and Kumar, R and Rathi, N (2019) Fair and Efficient Cake Division with Connected Pieces. In: 15th Conference on Web and Internet Economics, WINE 2019, 10 - 12 December 2019, New York City, pp. 57-70.
Patra, A and Ravi, D (2019) Beyond honest majority: The round complexity of fair and robust multi-party Computation. In: 25th International Conference on the Theory and Applications of Cryptology and Information Security, ASIACRYPT 2019, 8 - 12 December 2019, Kobe, pp. 456-487.
Chattopadhyay, E and Kanukurthi, B and Obbattu, SLB and Sekar, S (2019) Privacy Amplification from Non-malleable Codes. In: 20th International Conference on Cryptology in India, INDOCRYPT 2019, 15- 18 December 2019, Hyderabad, pp. 318-337.
Chatterjee, S and Kabaleeshwaran, R (2019) Rerandomizable Signatures Under Standard Assumption. In: 20th International Conference on Cryptology in India, INDOCRYPT 2019, 15 - 18 December 2019, Hyderabad, pp. 45-67.
Vijaikumar, M and Shevade, S and Murty, MN (2019) TagEmbedSVD: Leveraging Tag Embeddings for Cross-Domain Collaborative Filtering. In: 8th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2019, 17 - 20 December 2019, Tezpur, pp. 240-248.
Pandey, RK and Karmakar, S and Ramakrishnan, AG and Saha, N (2019) Improving facial emotion recognition systems with crucial feature extractors. In: 20th International Conference on Image Analysis and Processing, ICIAP 2019, 9 September 2019through 13 September 2019, Trento, pp. 268-279.
Pandey, RK and Singh, H and Ramakrishnan, AG (2019) Improvement of Image Denoising Algorithms by Preserving the Edges. In: 18th International Conference on Computer Analysis of Images and Patterns, CAIP 2019, 3 - 5 September 2019, Salerno, pp. 496-506.
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