| 2026 | EACL | Look Before You Leap: A Lookahead Reasoning Quality Gate for Speculative Decoding. | Hiroaki Kingetsu, Kaoru Yokoo, Kenji Fukumizu, Manohar Kaul |
| 2025 | ICLR | Beyond Mere Token Analysis: A Hypergraph Metric Space Framework for Defending Against Socially Engineered LLM Attacks. | Manohar Kaul, Aditya Saibewar, Sadbhavana Babar |
| 2025 | ICLR | Efficient Jailbreak Attack sequences on Large Language Models via Multi-Armed Bandit-based Context switching. | Aditya Ramesh, Shivam Bhardwaj, Aditya Saibewar, Manohar Kaul |
| 2025 | NAACL | SafeQuant: LLM Safety Analysis via Quantized Gradient Inspection. | Sindhu Padakandla, Sadbhavana Babar, Rathod Darshan D, Manohar Kaul |
| 2025 | WACV | Elemental Composite Prototypical Network: Few-Shot Object Detection on Outdoor 3D Point Cloud Scenes. | Arkadipta De, Vartika Sengar, Daksh Thapar, Mahesh Chandran, Manohar Kaul |
| 2025 | WACV | Towards a Training Free Approach for 3D Scene Editing. | Vivek Madhavaram, Shivangana Rawat, Chaitanya Devaguptapu, Charu Sharma, Manohar Kaul |
| 2025 | WACV | 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 |
| 2024 | ACL | HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs. | Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu, Manohar Kaul, A. P. Prathosh |
| 2024 | ICCS | GraphMesh: Geometrically Generalized Mesh Refinement Using GNNs. | Ainulla Khan, Moyuru Yamada, Abhishek Chikane, Manohar Kaul |
| 2024 | WACV | Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation. | Siddharth Katageri, Arkadipta De, Chaitanya Devaguptapu, V. S. S. V. Prasad, Charu Sharma, Manohar Kaul |
| 2022 | IJCNN | BERTops: Studying BERT Representations under a Topological Lens. | Jatin Chauhan, Manohar Kaul |
| 2021 | WWW | RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network. | Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Isaiah Onando Mulang', Saeedeh Shekarpour, Johannes Hoffart, Manohar Kaul |
| 2020 | ECCV | Simplicial Complex Based Point Correspondence Between Images Warped onto Manifolds. | Charu Sharma, Manohar Kaul |
| 2020 | ICLR | Few-Shot Learning on graphs via super-Classes based on Graph spectral Measures. | Jatin Chauhan, Deepak Nathani, Manohar Kaul |
| 2020 | IJCNN | Learning Representations using Spectral-Biased Random Walks on Graphs. | Charu Sharma, Jatin Chauhan, Manohar Kaul |
| 2019 | ACL | Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs. | Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul |
| 2018 | ICML | Solving Partial Assignment Problems using Random Clique Complexes. | Charu Sharma, Deepak Nathani, Manohar Kaul |
| 2017 | CIDR | Elementary, dear Watson! | Manohar Kaul |
| 2016 | ICDE | Efficient fault-tolerance for iterative graph processing on distributed dataflow systems. | Chen Xu, Markus Holzemer, Manohar Kaul, Volker Markl |
| 2015 | CIKM | R-Apriori: An Efficient Apriori based Algorithm on Spark. | Sanjay Rathee, Manohar Kaul, Arti Kashyap |
| 2014 | ICDE | Stochastic skyline route planning under time-varying uncertainty. | Bin Yang, Chenjuan Guo, Christian S. Jensen, Manohar Kaul, Shuo Shang |
| 2013 | MDM | Building Accurate 3D Spatial Networks to Enable Next Generation Intelligent Transportation Systems. | Manohar Kaul, Bin Yang, Christian S. Jensen |