Manohar Kaul

According to our database, Manohar Kaul authored at least 37 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

GraphMesh: Geometrically Generalized Mesh Refinement Using GNNs.

Ainulla Khan, Moyuru Yamada, Abhishek Chikane, Manohar Kaul

Proceedings of the Computational Science - ICCS 2024, 2024

HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs.

Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu, Manohar Kaul, Prathosh A P

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

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

2022

Preface.

Alexander Cloninger, Timothy Doster, Tegan Emerson, Manohar Kaul, Ira Ktena, Henry Kvinge, Nina Miolane, Bastian Rice, Sarah Tymochko, Guy Wolf

Proceedings of the Topological, 2022

BERTops: Studying BERT Representations under a Topological Lens.

Jatin Chauhan, Manohar Kaul

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

ALLWAS: Active Learning on Language models in WASserstein space.

Anson Bastos, Manohar Kaul

CoRR, 2021

Target Model Agnostic Adversarial Attacks with Query Budgets on Language Understanding Models.

Jatin Chauhan, Karan Bhukar, Manohar Kaul

CoRR, 2021

Understanding Higher-order Structures in Evolving Graphs: A Simplicial Complex based Kernel Estimation Approach.

Manohar Kaul, Masaaki Imaizumi

CoRR, 2021

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

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

A Weighted Quiver Kernel using Functor Homology.

Manohar Kaul, Dai Tamaki

CoRR, 2020

Self-Supervised Few-Shot Learning on Point Clouds.

Charu Sharma, Manohar Kaul

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Representations using Spectral-Biased Random Walks on Graphs.

Charu Sharma, Jatin Chauhan, Manohar Kaul

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Few-Shot Learning on graphs via super-Classes based on Graph spectral Measures.

Jatin Chauhan, Deepak Nathani, Manohar Kaul

Proceedings of the 8th International Conference on Learning Representations, 2020

Simplicial Complex Based Point Correspondence Between Images Warped onto Manifolds.

Charu Sharma, Manohar Kaul

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

A Persistent Homology Perspective to the Link Prediction Problem.

Sumit Bhatia, Bapi Chatterjee, Deepak Nathani, Manohar Kaul

Proceedings of the Complex Networks and Their Applications VIII, 2019

Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs.

Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Understanding and Predicting Links in Graphs: A Persistent Homology Perspective.

Sumit Bhatia, Bapi Chatterjee, Deepak Nathani, Manohar Kaul

CoRR, 2018

Solving Partial Assignment Problems using Random Clique Complexes.

Charu Sharma, Deepak Nathani, Manohar Kaul

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

On Fault Tolerance for Distributed Iterative Dataflow Processing.

Chen Xu, Markus Holzemer, Manohar Kaul, Juan Soto, Volker Markl

IEEE Trans. Knowl. Data Eng., 2017

Elementary, dear Watson!

Manohar Kaul

Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

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

Improving Data Quality by Leveraging Statistical Relational Learning.

Larysa Visengeriyeva, Alan Akbik, Manohar Kaul

Proceedings of the 21st International Conference on Information Quality, 2016

Efficient fault-tolerance for iterative graph processing on distributed dataflow systems.

Chen Xu, Markus Holzemer, Manohar Kaul, Volker Markl

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

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

R-Apriori: An Efficient Apriori based Algorithm on Spark.

Sanjay Rathee, Manohar Kaul, Arti Kashyap

Proceedings of the 8th Workshop on Ph.D. Workshop in Information and Knowledge Management, 2015

2014

Using Incomplete Information for Complete Weight Annotation of Road Networks.

Bin Yang, Manohar Kaul, Christian S. Jensen

IEEE Trans. Knowl. Data Eng., 2014

Terrain-Toolkit: A Multi-Functional Tool for Terrain Data.

Qi Wang, Manohar Kaul, Cheng Long, Raymond Chi-Wing Wong

Proc. VLDB Endow., 2014

Stochastic skyline route planning under time-varying uncertainty.

Bin Yang, Chenjuan Guo, Christian S. Jensen, Manohar Kaul, Shuo Shang

Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

2013

3D Road Network (North Jutland, Denmark).

Manohar Kaul

Dataset, April, 2013

Finding Shortest Paths on Terrains by Killing Two Birds with One Stone.

Manohar Kaul, Raymond Chi-Wing Wong, Bin Yang, Christian S. Jensen

Proc. VLDB Endow., 2013

Using Incomplete Information for Complete Weight Annotation of Road Networks - Extended Version.

Bin Yang, Manohar Kaul, Christian S. Jensen

CoRR, 2013

Building Accurate 3D Spatial Networks to Enable Next Generation Intelligent Transportation Systems.

Manohar Kaul, Bin Yang, Christian S. Jensen

Proceedings of the 2013 IEEE 14th International Conference on Mobile Data Management, Milan, Italy, June 3-6, 2013, 2013

2012

EcoMark: evaluating models of vehicular environmental impact.

Chenjuan Guo, Yu Ma, Bin Yang, Christian S. Jensen, Manohar Kaul

Proceedings of the SIGSPATIAL 2012 International Conference on Advances in Geographic Information Systems (formerly known as GIS), 2012

2011

Frequent route based continuous moving object location- and density prediction on road networks.

Gyözö Gidófalvi, Manohar Kaul, Christian Borgelt, Torben Bach Pedersen

Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2011

2003

Intelligent packet shaper to avoid network congestion for improved streaming video quality at clients.

Manohar Kaul, Rajiv Khosla, Yasue Mitsukura

Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation: Computational Intelligence in Robotics and Automation for the New Millennium, 2003