Intelligent packet shaper to avoid network congestion for improved streaming video quality at clients. - Manohar Kaul; Rajiv Khosla; Yasue Mitsukura (CIRA, 2003)

Frequent route based continuous moving object location- and density prediction on road networks. - Gyözö Gidófalvi; Manohar Kaul; Christian Borgelt; Torben Bach Pedersen (GIS, 2011)

EcoMark: evaluating models of vehicular environmental impact. - Chenjuan Guo; Yu Ma; Bin Yang 002; Christian S. Jensen; Manohar Kaul (SIGSPATIAL/GIS, 2012)

Building Accurate 3D Spatial Networks to Enable Next Generation Intelligent Transportation Systems. - Manohar Kaul; Bin Yang 002; Christian S. Jensen (MDM (1), 2013)

Using Incomplete Information for Complete Weight Annotation of Road Networks - Extended Version. - Bin Yang 002; Manohar Kaul; Christian S. Jensen (CoRR, 2013)

Finding Shortest Paths on Terrains by Killing Two Birds with One Stone. - Manohar Kaul; Raymond Chi-Wing Wong; Bin Yang 002; Christian S. Jensen (Proc. VLDB Endow., 2013)

3D Road Network (North Jutland, Denmark). - Manohar Kaul (UCI Machine Learning Repository, 2013)

Stochastic skyline route planning under time-varying uncertainty. - Bin Yang 002; Chenjuan Guo; Christian S. Jensen; Manohar Kaul; Shuo Shang (ICDE, 2014)

Terrain-Toolkit: A Multi-Functional Tool for Terrain Data. - Qi Wang; Manohar Kaul; Cheng Long 001; Raymond Chi-Wing Wong (Proc. VLDB Endow., 2014)

Using Incomplete Information for Complete Weight Annotation of Road Networks. - Bin Yang 002; Manohar Kaul; Christian S. Jensen (IEEE Trans. Knowl. Data Eng., 2014)

R-Apriori: An Efficient Apriori based Algorithm on Spark. - Sanjay Rathee; Manohar Kaul; Arti Kashyap (PIKM@CIKM, 2015)

New Lower and Upper Bounds for Shortest Distance Queries on Terrains. - Manohar Kaul; Raymond Chi-Wing Wong; Christian S. Jensen (Proc. VLDB Endow., 2015)

Efficient fault-tolerance for iterative graph processing on distributed dataflow systems. - Chen Xu 001; Markus Holzemer; Manohar Kaul; Volker Markl (ICDE, 2016)

Improving Data Quality by Leveraging Statistical Relational Learning. - Larysa Visengeriyeva; Alan Akbik; Manohar Kaul (ICIQ, 2016)

Sharing Hash Codes for Multiple Purposes. - Wikor Pronobis; Danny Panknin; Johannes Kirschnick; Vignesh Srinivasan; Wojciech Samek; Volker Markl; Manohar Kaul; Klaus-Robert Müller; Shinichi Nakajima (CoRR, 2016)

Elementary, dear Watson! - Manohar Kaul (CIDR, 2017)

On Fault Tolerance for Distributed Iterative Dataflow Processing. - Chen Xu 001; Markus Holzemer; Manohar Kaul; Juan Soto 001; Volker Markl (IEEE Trans. Knowl. Data Eng., 2017)

Solving Partial Assignment Problems using Random Clique Complexes. - Charu Sharma; Deepak Nathani; Manohar Kaul (ICML, 2018)

Understanding and Predicting Links in Graphs: A Persistent Homology Perspective. - Sumit Bhatia; Bapi Chatterjee; Deepak Nathani; Manohar Kaul (CoRR, 2018)

Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs. - Deepak Nathani; Jatin Chauhan; Charu Sharma; Manohar Kaul (ACL (1), 2019)

A Persistent Homology Perspective to the Link Prediction Problem. - Sumit Bhatia; Bapi Chatterjee; Deepak Nathani; Manohar Kaul (COMPLEX NETWORKS (1), 2019)

Simplicial Complex Based Point Correspondence Between Images Warped onto Manifolds. - Charu Sharma; Manohar Kaul (ECCV (29), 2020)

Few-Shot Learning on graphs via super-Classes based on Graph spectral Measures. - Jatin Chauhan; Deepak Nathani; Manohar Kaul (ICLR, 2020)

Learning Representations using Spectral-Biased Random Walks on Graphs. - Charu Sharma; Jatin Chauhan; Manohar Kaul (IJCNN, 2020)

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

A Weighted Quiver Kernel using Functor Homology. - Manohar Kaul; Dai Tamaki (CoRR, 2020)

RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network. - Anson Bastos; Abhishek Nadgeri; Kuldeep Singh 001; Isaiah Onando Mulang'; Saeedeh Shekarpour; Johannes Hoffart; Manohar Kaul (WWW, 2021)

Understanding Higher-order Structures in Evolving Graphs: A Simplicial Complex based Kernel Estimation Approach. - Manohar Kaul; Masaaki Imaizumi (CoRR, 2021)

Target Model Agnostic Adversarial Attacks with Query Budgets on Language Understanding Models. - Jatin Chauhan; Karan Bhukar; Manohar Kaul (CoRR, 2021)

ALLWAS: Active Learning on Language models in WASserstein space. - Anson Bastos; Manohar Kaul (CoRR, 2021)

BERTops: Studying BERT Representations under a Topological Lens. - Jatin Chauhan; Manohar Kaul (IJCNN, 2022)

Preface. - Alexander Cloninger; Timothy Doster; Tegan Emerson; Manohar Kaul; Ira Ktena; Henry Kvinge; Nina Miolane; Bastian Rice; Sarah Tymochko; Guy Wolf (TAG-ML, 2022)

Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation. - Siddharth Katageri; Arkadipta De; Chaitanya Devaguptapu; VSSV Prasad; Charu Sharma; Manohar Kaul (CoRR, 2023)

HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs. - Pranoy Panda; Ankush Agarwal; Chaitanya Devaguptapu; Manohar Kaul; A. P. Prathosh (ACL (1), 2024)

GraphMesh: Geometrically Generalized Mesh Refinement Using GNNs. - Ainulla Khan; Moyuru Yamada; Abhishek Chikane; Manohar Kaul (ICCS (5), 2024)

Stochastic Experience-Replay for Graph Continual Learning. - Arnab Kumar Mondal; Jay Nandy; Manohar Kaul; Mahesh Chandran (LoG, 2024)

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 (WACV, 2024)

Semantic Graph Consistency: Going Beyond Patches for Regularizing Self-Supervised Vision Transformers. - Chaitanya Devaguptapu; Sumukh Aithal; Shrinivas Ramasubramanian; Moyuru Yamada; Manohar Kaul (CoRR, 2024)

Teacher-Guided Graph Contrastive Learning. - Jay Nandy; Arnab Kumar Mondal; Manohar Kaul; Prathosh AP (Trans. Mach. Learn. Res., 2024)

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 (ICLR, 2025)

SafeQuant: LLM Safety Analysis via Quantized Gradient Inspection. - Sindhu Padakandla; Sadbhavana Babar; Rathod Darshan D; Manohar Kaul (NAACL (Long Papers), 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)

Towards a Training Free Approach for 3D Scene Editing. - Vivek Madhavaram; Shivangana Rawat; Chaitanya Devaguptapu; Charu Sharma; 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 (WACV, 2025)

DynEdges-TGN: Dynamic-Edges-Based Temporal Graph Network for Early Sepsis Prediction. - Supriya Bajpai; Manohar Kaul (SN Comput. Sci., 2025)