Kaul, Manohar

13 publications

TMLR 2026 Proper Orthogonal Decomposition for Scalable Training of Graph Neural Networks Abhishek A, Manohar Kaul, Mohit Meena, Mahesh Chandran

ICLR 2025 Beyond Mere Token Analysis: A Hypergraph Metric Space Framework for Defending Against Socially Engineered LLM Attacks Manohar Kaul, Aditya Saibewar, Sadbhavana Babar

ICLR 2025 Efficient Jailbreak Attack Sequences on Large Language Models via Multi-Armed Bandit-Based Context Switching Aditya Ramesh, Shivam Bhardwaj, Aditya Saibewar, Manohar Kaul

WACV 2025 Elemental Composite Prototypical Network: Few-Shot Object Detection on Outdoor 3D Point Cloud Scenes Arkadipta De, Vartika Sengar, Daksh Thapar, Mahesh Chandran, Manohar Kaul

WACV 2025 Learning Semantic Part-Based Graph Structure for 3D Point Cloud Domain Generalization G Ujwal Sai, Arkadipta De, Vartika Sengar, Anuj Rathore, Daksh Thapar, Manohar Kaul

LoG 2025 Stochastic Experience-Replay for Graph Continual Learning Arnab Kumar Mondal, Jay Nandy, Manohar Kaul, Mahesh Chandran

WACV 2025 Towards a Training Free Approach for 3D Scene Editing Vivek Madhavaram, Shivangana Rawat, Chaitanya Devaguptapu, Charu Sharma, Manohar Kaul

WACV 2024 Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation Siddharth Katageri, Arkadipta De, Chaitanya Devaguptapu, Vssv Prasad, Charu Sharma, Manohar Kaul

TMLR 2024 Teacher-Guided Graph Contrastive Learning Jay Nandy, Arnab Kumar Mondal, Manohar Kaul, Prathosh Ap

ICLR 2020 Few-Shot Learning on Graphs via Super-Classes Based on Graph Spectral Measures Jatin Chauhan, Deepak Nathani, Manohar Kaul

NeurIPS 2020 Self-Supervised Few-Shot Learning on Point Clouds Charu Sharma, Manohar Kaul

ECCV 2020 Simplicial Complex Based Point Correspondence Between Images Warped onto Manifolds Charu Sharma, Manohar Kaul

ICML 2018 Solving Partial Assignment Problems Using Random Clique Complexes Charu Sharma, Deepak Nathani, Manohar Kaul