Manohar Kaul

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 33

Top Topics

Language Understanding

Statistical Relational Learning

Persistent Homology

Top Venues

Proc. VLDB Endow.

Publications

Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu, Manohar Kaul, Prathosh A P
HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs. CoRR (2024)
Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu, Manohar Kaul, Prathosh A P
HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs. ACL (1) (2024)
Chaitanya Devaguptapu, Sumukh Aithal, Shrinivas Ramasubramanian, Moyuru Yamada, Manohar Kaul
Semantic Graph Consistency: Going Beyond Patches for Regularizing Self-Supervised Vision Transformers. CoRR (2024)
Ainulla Khan, Moyuru Yamada, Abhishek Chikane, Manohar Kaul
GraphMesh: Geometrically Generalized Mesh Refinement Using GNNs. ICCS (5) (2024)
Siddharth Katageri, Arkadipta De, Chaitanya Devaguptapu, V. S. S. V. Prasad, Charu Sharma, Manohar Kaul
Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation. WACV (2024)
Siddharth Katageri, Arkadipta De, Chaitanya Devaguptapu, VSSV Prasad, Charu Sharma, Manohar Kaul
Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation. CoRR (2023)
Alexander Cloninger, Timothy Doster, Tegan Emerson, Manohar Kaul, Ira Ktena, Henry Kvinge, Nina Miolane, Bastian Rice, Sarah Tymochko, Guy Wolf
Preface. TAG-ML (2022)
Jatin Chauhan, Manohar Kaul
BERTops: Studying BERT Representations under a Topological Lens. IJCNN (2022)
Jatin Chauhan, Manohar Kaul
BERTops: Studying BERT Representations under a Topological Lens. CoRR (2022)
Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Isaiah Onando Mulang', Saeedeh Shekarpour, Johannes Hoffart, Manohar Kaul
RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network. WWW (2021)
Manohar Kaul, Masaaki Imaizumi
Understanding Higher-order Structures in Evolving Graphs: A Simplicial Complex based Kernel Estimation Approach. CoRR (2021)
Jatin Chauhan, Karan Bhukar, Manohar Kaul
Target Model Agnostic Adversarial Attacks with Query Budgets on Language Understanding Models. CoRR (2021)
Anson Bastos, Manohar Kaul
ALLWAS: Active Learning on Language models in WASserstein space. CoRR (2021)
Charu Sharma, Jatin Chauhan, Manohar Kaul
Learning Representations using Spectral-Biased Random Walks on Graphs. IJCNN (2020)
Charu Sharma, Manohar Kaul
Self-Supervised Few-Shot Learning on Point Clouds. CoRR (2020)
Charu Sharma, Manohar Kaul
Simplicial Complex Based Point Correspondence Between Images Warped onto Manifolds. ECCV (29) (2020)
Charu Sharma, Manohar Kaul
Simplicial Complex based Point Correspondence between Images warped onto Manifolds. CoRR (2020)
Jatin Chauhan, Deepak Nathani, Manohar Kaul
Few-Shot Learning on graphs via super-Classes based on Graph spectral Measures. ICLR (2020)
Manohar Kaul, Dai Tamaki
A Weighted Quiver Kernel using Functor Homology. CoRR (2020)
Charu Sharma, Manohar Kaul
Self-Supervised Few-Shot Learning on Point Clouds. NeurIPS (2020)
Jatin Chauhan, Deepak Nathani, Manohar Kaul
Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures. CoRR (2020)
Charu Sharma, Jatin Chauhan, Manohar Kaul
Learning Representations using Spectral-Biased Random Walks on Graphs. CoRR (2020)
Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs. CoRR (2019)
Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs. ACL (1) (2019)
Charu Sharma, Deepak Nathani, Manohar Kaul
Solving Partial Assignment Problems using Random Clique Complexes. CoRR (2019)
Sumit Bhatia, Bapi Chatterjee, Deepak Nathani, Manohar Kaul
A Persistent Homology Perspective to the Link Prediction Problem. COMPLEX NETWORKS (1) (2019)
Sumit Bhatia, Bapi Chatterjee, Deepak Nathani, Manohar Kaul
Understanding and Predicting Links in Graphs: A Persistent Homology Perspective. CoRR (2018)
Charu Sharma, Deepak Nathani, Manohar Kaul
Solving Partial Assignment Problems using Random Clique Complexes. ICML (2018)
Chen Xu, Markus Holzemer, Manohar Kaul, Juan Soto, Volker Markl
On Fault Tolerance for Distributed Iterative Dataflow Processing. IEEE Trans. Knowl. Data Eng. 29 (8) (2017)
Manohar Kaul
Elementary, dear Watson! CIDR (2017)
Wikor Pronobis, Danny Panknin, Johannes Kirschnick, Vignesh Srinivasan, Wojciech Samek, Volker Markl, Manohar Kaul, Klaus-Robert Müller, Shinichi Nakajima
Sharing Hash Codes for Multiple Purposes. CoRR (2016)
Chen Xu, Markus Holzemer, Manohar Kaul, Volker Markl
Efficient fault-tolerance for iterative graph processing on distributed dataflow systems. ICDE (2016)
Larysa Visengeriyeva, Alan Akbik, Manohar Kaul
Improving Data Quality by Leveraging Statistical Relational Learning. ICIQ (2016)
Manohar Kaul, Raymond Chi-Wing Wong, Christian S. Jensen
New Lower and Upper Bounds for Shortest Distance Queries on Terrains. Proc. VLDB Endow. 9 (3) (2015)
Sanjay Rathee, Manohar Kaul, Arti Kashyap
R-Apriori: An Efficient Apriori based Algorithm on Spark. PIKM@CIKM (2015)
Qi Wang, Manohar Kaul, Cheng Long, Raymond Chi-Wing Wong
Terrain-Toolkit: A Multi-Functional Tool for Terrain Data. Proc. VLDB Endow. 7 (13) (2014)
Bin Yang, Chenjuan Guo, Christian S. Jensen, Manohar Kaul, Shuo Shang
Stochastic skyline route planning under time-varying uncertainty. ICDE (2014)
Bin Yang, Manohar Kaul, Christian S. Jensen
Using Incomplete Information for Complete Weight Annotation of Road Networks. IEEE Trans. Knowl. Data Eng. 26 (5) (2014)
Manohar Kaul, Bin Yang, Christian S. Jensen
Building Accurate 3D Spatial Networks to Enable Next Generation Intelligent Transportation Systems. MDM (1) (2013)
Manohar Kaul, Raymond Chi-Wing Wong, Bin Yang, Christian S. Jensen
Finding Shortest Paths on Terrains by Killing Two Birds with One Stone. Proc. VLDB Endow. 7 (1) (2013)
Bin Yang, Manohar Kaul, Christian S. Jensen
Using Incomplete Information for Complete Weight Annotation of Road Networks - Extended Version. CoRR (2013)
Chenjuan Guo, Yu Ma, Bin Yang, Christian S. Jensen, Manohar Kaul
EcoMark: evaluating models of vehicular environmental impact. SIGSPATIAL/GIS (2012)
Gyözö Gidófalvi, Manohar Kaul, Christian Borgelt, Torben Bach Pedersen
Frequent route based continuous moving object location- and density prediction on road networks. GIS (2011)
Manohar Kaul, Rajiv Khosla, Yasue Mitsukura
Intelligent packet shaper to avoid network congestion for improved streaming video quality at clients. CIRA (2003)