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ORCIDManohar Kaul
Person information
- affiliation: IIT Hyderabad, India
- affiliation: Aarhus University, Denmark
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2020 – today
- 2024
[c22]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: 13263-13282- [c21]Ainulla Khan
, Moyuru Yamada, Abhishek Chikane, Manohar Kaul:
GraphMesh: Geometrically Generalized Mesh Refinement Using GNNs. ICCS (5) 2024: 120-134 - [c20]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: 2930-2939 - [i18]Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu, Manohar Kaul, Prathosh A P:
HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs. CoRR abs/2406.06027 (2024) - [i17]Chaitanya Devaguptapu, Sumukh Aithal, Shrinivas Ramasubramanian, Moyuru Yamada, Manohar Kaul:
Semantic Graph Consistency: Going Beyond Patches for Regularizing Self-Supervised Vision Transformers. CoRR abs/2406.12944 (2024) - [i16]Vivek Madhavaram, Shivangana Rawat, Chaitanya Devaguptapu, Charu Sharma, Manohar Kaul:
Towards a Training Free Approach for 3D Scene Editing. CoRR abs/2412.12766 (2024) - 2023
- [i15]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 abs/2308.14126 (2023) - 2022
- [c19]Jatin Chauhan, Manohar Kaul:
BERTops: Studying BERT Representations under a Topological Lens. IJCNN 2022: 1-8 - [c18]Alexander Cloninger, Timothy Doster, Tegan Emerson, Manohar Kaul, Ira Ktena, Henry Kvinge, Nina Miolane, Bastian Rice, Sarah Tymochko, Guy Wolf:
Preface. TAG-ML 2022: 1-5 - [e1]Alexander Cloninger, Timothy Doster, Tegan Emerson, Manohar Kaul, Ira Ktena, Henry Kvinge, Nina Miolane, Bastian Rice, Sarah Tymochko, Guy Wolf:
Topological, Algebraic and Geometric Learning Workshops 2022, 25-22 July 2022, Virtual. Proceedings of Machine Learning Research 196, PMLR 2022 [contents] - [i14]Jatin Chauhan, Manohar Kaul:
BERTops: Studying BERT Representations under a Topological Lens. CoRR abs/2205.00953 (2022) - 2021
- [c17]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: 1673-1685 - [i13]Manohar Kaul, Masaaki Imaizumi:
Understanding Higher-order Structures in Evolving Graphs: A Simplicial Complex based Kernel Estimation Approach. CoRR abs/2102.03609 (2021) - [i12]Jatin Chauhan, Karan Bhukar, Manohar Kaul:
Target Model Agnostic Adversarial Attacks with Query Budgets on Language Understanding Models. CoRR abs/2106.07047 (2021) - [i11]Anson Bastos, Manohar Kaul:
ALLWAS: Active Learning on Language models in WASserstein space. CoRR abs/2109.01691 (2021) - 2020
- [c16]Charu Sharma, Manohar Kaul:
Simplicial Complex Based Point Correspondence Between Images Warped onto Manifolds. ECCV (29) 2020: 54-70 - [c15]Jatin Chauhan, Deepak Nathani, Manohar Kaul:
Few-Shot Learning on graphs via super-Classes based on Graph spectral Measures. ICLR 2020 - [c14]Charu Sharma, Jatin Chauhan, Manohar Kaul:
Learning Representations using Spectral-Biased Random Walks on Graphs. IJCNN 2020: 1-8 - [c13]Charu Sharma, Manohar Kaul:
Self-Supervised Few-Shot Learning on Point Clouds. NeurIPS 2020 - [i10]Jatin Chauhan, Deepak Nathani, Manohar Kaul:
Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures. CoRR abs/2002.12815 (2020) - [i9]Charu Sharma, Jatin Chauhan, Manohar Kaul:
Learning Representations using Spectral-Biased Random Walks on Graphs. CoRR abs/2005.09752 (2020) - [i8]Charu Sharma, Manohar Kaul:
Simplicial Complex based Point Correspondence between Images warped onto Manifolds. CoRR abs/2007.02381 (2020) - [i7]Manohar Kaul, Dai Tamaki:
A Weighted Quiver Kernel using Functor Homology. CoRR abs/2009.12928 (2020) - [i6]Charu Sharma, Manohar Kaul:
Self-Supervised Few-Shot Learning on Point Clouds. CoRR abs/2009.14168 (2020)
2010 – 2019
- 2019
- [c12]Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul:
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs. ACL (1) 2019: 4710-4723 - [c11]Sumit Bhatia, Bapi Chatterjee, Deepak Nathani, Manohar Kaul:
A Persistent Homology Perspective to the Link Prediction Problem. COMPLEX NETWORKS (1) 2019: 27-39 - [i5]Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul:
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs. CoRR abs/1906.01195 (2019) - [i4]Charu Sharma, Deepak Nathani, Manohar Kaul:
Solving Partial Assignment Problems using Random Clique Complexes. CoRR abs/1907.01739 (2019) - 2018
- [c10]Charu Sharma, Deepak Nathani, Manohar Kaul:
Solving Partial Assignment Problems using Random Clique Complexes. ICML 2018: 4593-4602 - [i3]Sumit Bhatia, Bapi Chatterjee, Deepak Nathani, Manohar Kaul:
Understanding and Predicting Links in Graphs: A Persistent Homology Perspective. CoRR abs/1811.04049 (2018) - 2017
- [j5]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): 1709-1722 (2017) - [c9]Manohar Kaul:
Elementary, dear Watson! CIDR 2017 - 2016
- [c8]Chen Xu, Markus Holzemer, Manohar Kaul, Volker Markl:
Efficient fault-tolerance for iterative graph processing on distributed dataflow systems. ICDE 2016: 613-624 - [c7]Larysa Visengeriyeva, Alan Akbik, Manohar Kaul:
Improving Data Quality by Leveraging Statistical Relational Learning. ICIQ 2016: 220-236 - [i2]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 abs/1609.03219 (2016) - 2015
- [j4]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): 168-179 (2015) - [c6]Sanjay Rathee, Manohar Kaul, Arti Kashyap:
R-Apriori: An Efficient Apriori based Algorithm on Spark. PIKM@CIKM 2015: 27-34 - 2014
- [j3]Qi Wang, Manohar Kaul, Cheng Long, Raymond Chi-Wing Wong:
Terrain-Toolkit: A Multi-Functional Tool for Terrain Data. Proc. VLDB Endow. 7(13): 1645-1648 (2014) - [j2]Bin Yang, Manohar Kaul, Christian S. Jensen:
Using Incomplete Information for Complete Weight Annotation of Road Networks. IEEE Trans. Knowl. Data Eng. 26(5): 1267-1279 (2014) - [c5]Bin Yang, Chenjuan Guo, Christian S. Jensen, Manohar Kaul, Shuo Shang:
Stochastic skyline route planning under time-varying uncertainty. ICDE 2014: 136-147 - 2013
- [j1]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): 73-84 (2013) - [c4]Manohar Kaul, Bin Yang, Christian S. Jensen:
Building Accurate 3D Spatial Networks to Enable Next Generation Intelligent Transportation Systems. MDM (1) 2013: 137-146 - [d1]Manohar Kaul:
3D Road Network (North Jutland, Denmark). UCI Machine Learning Repository, 2013
- [i1]Bin Yang, Manohar Kaul, Christian S. Jensen:
Using Incomplete Information for Complete Weight Annotation of Road Networks - Extended Version. CoRR abs/1308.0484 (2013) - 2012
- [c3]Chenjuan Guo, Yu Ma, Bin Yang, Christian S. Jensen, Manohar Kaul:
EcoMark: evaluating models of vehicular environmental impact. SIGSPATIAL/GIS 2012: 269-278 - 2011
- [c2]Gyözö Gidófalvi, Manohar Kaul, Christian Borgelt, Torben Bach Pedersen:
Frequent route based continuous moving object location- and density prediction on road networks. GIS 2011: 381-384
2000 – 2009
- 2003
- [c1]Manohar Kaul, Rajiv Khosla, Yasue Mitsukura:
Intelligent packet shaper to avoid network congestion for improved streaming video quality at clients. CIRA 2003: 988-993
Coauthor Index
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