Manohar Kaul | DeepAI

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Featured Co-authors

Wojciech Samek
98 publications
Masaaki Imaizumi
33 publications
Shinichi Nakajima
28 publications
Volker Markl
21 publications
Charu Sharma
9 publications
Jatin Chauhan
8 publications
Anson Bastos
8 publications
Vignesh Srinivasan
7 publications
Klaus-Robert Mueller
6 publications
Chaitanya Devaguptapu
6 publications
Deepak Nathani
5 publications

∙ 08/27/2023

Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation

Recently, the fundamental problem of unsupervised domain adaptation (UDA...

0 Siddharth Katageri, et al. ∙

∙ 05/02/2022

BERTops: Studying BERT Representations under a Topological Lens

Proposing scoring functions to effectively understand, analyze and learn...

8 Jatin Chauhan, et al. ∙

∙ 09/03/2021

ALLWAS: Active Learning on Language models in WASserstein space

Active learning has emerged as a standard paradigm in areas with scarcit...

0 Anson Bastos, et al. ∙

∙ 06/13/2021

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

Despite significant improvements in natural language understanding model...

9 Jatin Chauhan, et al. ∙

∙ 02/06/2021

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

Dynamic graphs are rife with higher-order interactions, such as co-autho...

5 Manohar Kaul, et al. ∙

∙ 09/29/2020

Self-Supervised Few-Shot Learning on Point Clouds

The increased availability of massive point clouds coupled with their ut...

5 Charu Sharma, et al. ∙

∙ 09/27/2020

A Weighted Quiver Kernel using Functor Homology

In this paper, we propose a new homological method to study weighted dir...

2 Manohar Kaul, et al. ∙

∙ 07/05/2020

Simplicial Complex based Point Correspondence between Images warped onto Manifolds

Recent increase in the availability of warped images projected onto a ma...

55 Charu Sharma, et al. ∙

∙ 05/19/2020

Learning Representations using Spectral-Biased Random Walks on Graphs

Several state-of-the-art neural graph embedding methods are based on sho...

0 Charu Sharma, et al. ∙

∙ 02/27/2020

Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures

We propose to study the problem of few shot graph classification in grap...

0 Jatin Chauhan, et al. ∙

∙ 07/03/2019

Solving Partial Assignment Problems using Random Clique Complexes

We present an alternate formulation of the partial assignment problem as...

0 Charu Sharma, et al. ∙

∙ 06/04/2019

Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

The recent proliferation of knowledge graphs (KGs) coupled with incomple...

0 Deepak Nathani, et al. ∙

∙ 09/11/2016

Sharing Hash Codes for Multiple Purposes

Locality sensitive hashing (LSH) is a powerful tool for sublinear-time a...

0 Wikor Pronobis, et al. ∙

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