Manohar Kaul

57 papers A* 8A 5B 2Journal 26Unranked 15
YearRankTypeTitle / Venue / Authors
2026 — conf
Look Before You Leap: A Lookahead Reasoning Quality Gate for Speculative Decoding.
EACL (Volume 1: Long Papers)
Hiroaki Kingetsu, Kaoru Yokoo, Kenji Fukumizu, Manohar Kaul
2026 J jnl
Proper Orthogonal Decomposition for Scalable Training of Graph Neural Networks.
Trans. Mach. Learn. Res.
Abhishek A, Manohar Kaul, Mohit Meena, Mahesh Chandran
2025 A* conf
Beyond Mere Token Analysis: A Hypergraph Metric Space Framework for Defending Against Socially Engineered LLM Attacks.
ICLR
Manohar Kaul, Aditya Saibewar, Sadbhavana Babar
2025 J jnl
DynEdges-TGN: Dynamic-Edges-Based Temporal Graph Network for Early Sepsis Prediction.
SN Comput. Sci.
Supriya Bajpai, Manohar Kaul
2025 A* conf
Efficient Jailbreak Attack sequences on Large Language Models via Multi-Armed Bandit-based Context switching.
ICLR
Aditya Ramesh, Shivam Bhardwaj, Aditya Saibewar, Manohar Kaul
2025 A conf
Elemental Composite Prototypical Network: Few-Shot Object Detection on Outdoor 3D Point Cloud Scenes.
WACV
Arkadipta De, Vartika Sengar, Daksh Thapar, Mahesh Chandran, Manohar Kaul
2025 A conf
Learning Semantic Part-Based Graph Structure for 3D Point Cloud Domain Generalization.
WACV
G. Ujwal Sai, Arkadipta De, Vartika Sengar, Anuj Rathore, Daksh Thapar, Manohar Kaul
2025 — conf
SafeQuant: LLM Safety Analysis via Quantized Gradient Inspection.
NAACL (Long Papers)
Sindhu Padakandla, Sadbhavana Babar, Rathod Darshan D, Manohar Kaul
2025 A conf
Towards a Training Free Approach for 3D Scene Editing.
WACV
Vivek Madhavaram, Shivangana Rawat, Chaitanya Devaguptapu, Charu Sharma, Manohar Kaul
2024 — conf
GraphMesh: Geometrically Generalized Mesh Refinement Using GNNs.
ICCS (5)
Ainulla Khan, Moyuru Yamada, Abhishek Chikane, Manohar Kaul
2024 — conf
HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs.
ACL (1)
Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu, Manohar Kaul, A. P. Prathosh
2024 J jnl
HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs.
CoRR
Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu, Manohar Kaul, A. P. Prathosh
2024 J jnl
Semantic Graph Consistency: Going Beyond Patches for Regularizing Self-Supervised Vision Transformers.
CoRR
Chaitanya Devaguptapu, Sumukh Aithal, Shrinivas Ramasubramanian, Moyuru Yamada, Manohar Kaul
2024 — conf
Stochastic Experience-Replay for Graph Continual Learning.
LoG
Arnab Kumar Mondal, Jay Nandy, Manohar Kaul, Mahesh Chandran
2024 A conf
Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation.
WACV
Siddharth Katageri, Arkadipta De, Chaitanya Devaguptapu, V. S. S. V. Prasad, Charu Sharma, Manohar Kaul
2024 J jnl
Teacher-Guided Graph Contrastive Learning.
Trans. Mach. Learn. Res.
Jay Nandy, Arnab Kumar Mondal, Manohar Kaul, Prathosh AP
2024 J jnl
Towards a Training Free Approach for 3D Scene Editing.
CoRR
Vivek Madhavaram, Shivangana Rawat, Chaitanya Devaguptapu, Charu Sharma, Manohar Kaul
2023 J jnl
Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation.
CoRR
Siddharth Katageri, Arkadipta De, Chaitanya Devaguptapu, VSSV Prasad, Charu Sharma, Manohar Kaul
2022 B conf
BERTops: Studying BERT Representations under a Topological Lens.
IJCNN
Jatin Chauhan, Manohar Kaul
2022 J jnl
BERTops: Studying BERT Representations under a Topological Lens.
CoRR
Jatin Chauhan, Manohar Kaul
2022 — conf
Preface.
TAG-ML
Alexander Cloninger, Timothy Doster, Tegan Emerson, Manohar Kaul, Ira Ktena, Henry Kvinge, Nina Miolane, Bastian Rice, Sarah Tymochko, Guy Wolf
2022 — ed.
Topological, Algebraic and Geometric Learning Workshops 2022, 25-22 July 2022, Virtual
TAG-ML
Alexander Cloninger, Timothy Doster, Tegan Emerson, Manohar Kaul, Ira Ktena, Henry Kvinge, Nina Miolane, Bastian Rice, Sarah Tymochko, Guy Wolf
2021 J jnl
ALLWAS: Active Learning on Language models in WASserstein space.
CoRR
Anson Bastos, Manohar Kaul
2021 A* conf
RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network.
WWW
Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Isaiah Onando Mulang', Saeedeh Shekarpour, Johannes Hoffart, Manohar Kaul
2021 J jnl
Target Model Agnostic Adversarial Attacks with Query Budgets on Language Understanding Models.
CoRR
Jatin Chauhan, Karan Bhukar, Manohar Kaul
2021 J jnl
Understanding Higher-order Structures in Evolving Graphs: A Simplicial Complex based Kernel Estimation Approach.
CoRR
Manohar Kaul, Masaaki Imaizumi
2020 J jnl
A Weighted Quiver Kernel using Functor Homology.
CoRR
Manohar Kaul, Dai Tamaki
2020 J jnl
Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures.
CoRR
Jatin Chauhan, Deepak Nathani, Manohar Kaul
2020 A* conf
Few-Shot Learning on graphs via super-Classes based on Graph spectral Measures.
ICLR
Jatin Chauhan, Deepak Nathani, Manohar Kaul
2020 B conf
Learning Representations using Spectral-Biased Random Walks on Graphs.
IJCNN
Charu Sharma, Jatin Chauhan, Manohar Kaul
2020 J jnl
Learning Representations using Spectral-Biased Random Walks on Graphs.
CoRR
Charu Sharma, Jatin Chauhan, Manohar Kaul
2020 A* conf
Self-Supervised Few-Shot Learning on Point Clouds.
NeurIPS
Charu Sharma, Manohar Kaul
2020 J jnl
Self-Supervised Few-Shot Learning on Point Clouds.
CoRR
Charu Sharma, Manohar Kaul
2020 — conf
Simplicial Complex Based Point Correspondence Between Images Warped onto Manifolds.
ECCV (29)
Charu Sharma, Manohar Kaul
2020 J jnl
Simplicial Complex based Point Correspondence between Images warped onto Manifolds.
CoRR
Charu Sharma, Manohar Kaul
2019 — conf
A Persistent Homology Perspective to the Link Prediction Problem.
COMPLEX NETWORKS (1)
Sumit Bhatia, Bapi Chatterjee, Deepak Nathani, Manohar Kaul
2019 — conf
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs.
ACL (1)
Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul
2019 J jnl
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs.
CoRR
Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul
2019 J jnl
Solving Partial Assignment Problems using Random Clique Complexes.
CoRR
Charu Sharma, Deepak Nathani, Manohar Kaul
2018 A* conf
Solving Partial Assignment Problems using Random Clique Complexes.
ICML
Charu Sharma, Deepak Nathani, Manohar Kaul
2018 J jnl
Understanding and Predicting Links in Graphs: A Persistent Homology Perspective.
CoRR
Sumit Bhatia, Bapi Chatterjee, Deepak Nathani, Manohar Kaul
2017 A conf
Elementary, dear Watson!
CIDR
Manohar Kaul
2017 J jnl
On Fault Tolerance for Distributed Iterative Dataflow Processing.
IEEE Trans. Knowl. Data Eng.
Chen Xu, Markus Holzemer, Manohar Kaul, Juan Soto, Volker Markl
2016 A* conf
Efficient fault-tolerance for iterative graph processing on distributed dataflow systems.
ICDE
Chen Xu, Markus Holzemer, Manohar Kaul, Volker Markl
2016 — conf
Improving Data Quality by Leveraging Statistical Relational Learning.
ICIQ
Larysa Visengeriyeva, Alan Akbik, Manohar Kaul
2016 J jnl
Sharing Hash Codes for Multiple Purposes.
CoRR
Wikor Pronobis, Danny Panknin, Johannes Kirschnick, Vignesh Srinivasan, Wojciech Samek, Volker Markl, Manohar Kaul, Klaus-Robert Müller, Shinichi Nakajima
2015 J jnl
New Lower and Upper Bounds for Shortest Distance Queries on Terrains.
Proc. VLDB Endow.
Manohar Kaul, Raymond Chi-Wing Wong, Christian S. Jensen
2015 — conf
R-Apriori: An Efficient Apriori based Algorithm on Spark.
PIKM@CIKM
Sanjay Rathee, Manohar Kaul, Arti Kashyap
2014 A* conf
Stochastic skyline route planning under time-varying uncertainty.
ICDE
Bin Yang, Chenjuan Guo, Christian S. Jensen, Manohar Kaul, Shuo Shang
2014 J jnl
Terrain-Toolkit: A Multi-Functional Tool for Terrain Data.
Proc. VLDB Endow.
Qi Wang, Manohar Kaul, Cheng Long, Raymond Chi-Wing Wong
2014 J jnl
Using Incomplete Information for Complete Weight Annotation of Road Networks.
IEEE Trans. Knowl. Data Eng.
Bin Yang, Manohar Kaul, Christian S. Jensen
2013 — conf
Building Accurate 3D Spatial Networks to Enable Next Generation Intelligent Transportation Systems.
MDM (1)
Manohar Kaul, Bin Yang, Christian S. Jensen
2013 J jnl
Finding Shortest Paths on Terrains by Killing Two Birds with One Stone.
Proc. VLDB Endow.
Manohar Kaul, Raymond Chi-Wing Wong, Bin Yang, Christian S. Jensen
2013 J jnl
Using Incomplete Information for Complete Weight Annotation of Road Networks - Extended Version.
CoRR
Bin Yang, Manohar Kaul, Christian S. Jensen
2012 — conf
EcoMark: evaluating models of vehicular environmental impact.
SIGSPATIAL/GIS
Chenjuan Guo, Yu Ma, Bin Yang, Christian S. Jensen, Manohar Kaul
2011 — conf
Frequent route based continuous moving object location- and density prediction on road networks.
GIS
Gyözö Gidófalvi, Manohar Kaul, Christian Borgelt, Torben Bach Pedersen
2003 — conf
Intelligent packet shaper to avoid network congestion for improved streaming video quality at clients.
CIRA
Manohar Kaul, Rajiv Khosla, Yasue Mitsukura