Chaitanya K. Joshi | DeepAI

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∙ 05/30/2023

Group Invariant Global Pooling

Much work has been devoted to devising architectures that build group-eq...

0 Kamil Bujel, et al. ∙

∙ 05/24/2023

Multi-State RNA Design with Geometric Multi-Graph Neural Networks

Computational RNA design has broad applications across synthetic biology...

0 Chaitanya K. Joshi, et al. ∙

∙ 01/23/2023

On the Expressive Power of Geometric Graph Neural Networks

The expressive power of Graph Neural Networks (GNNs) has been studied ex...

0 Chaitanya K. Joshi, et al. ∙

∙ 11/09/2021

On Representation Knowledge Distillation for Graph Neural Networks

Knowledge distillation is a promising learning paradigm for boosting the...

0 Chaitanya K. Joshi, et al. ∙

∙ 06/12/2020

Learning TSP Requires Rethinking Generalization

End-to-end training of neural network solvers for combinatorial problems...

36 Chaitanya K. Joshi, et al. ∙

∙ 03/02/2020

Benchmarking Graph Neural Networks

Graph neural networks (GNNs) have become the standard toolkit for analyz...

31 Vijay Prakash Dwivedi, et al. ∙

∙ 12/24/2019

Multi-Graph Transformer for Free-Hand Sketch Recognition

Learning meaningful representations of free-hand sketches remains a chal...

15 Peng Xu, et al. ∙

∙ 10/16/2019

On Learning Paradigms for the Travelling Salesman Problem

We explore the impact of learning paradigms on training deep neural netw...

40 Chaitanya K. Joshi, et al. ∙

∙ 06/04/2019

An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem

This paper introduces a new learning-based approach for approximately so...

46 Chaitanya K. Joshi, et al. ∙

∙ 04/27/2019

Working women and caste in India: A study of social disadvantage using feature attribution

Women belonging to the socially disadvantaged caste-groups in India have...

0 Kuhu Joshi, et al. ∙

∙ 06/22/2017

Personalization in Goal-Oriented Dialog

The main goal of modeling human conversation is to create agents which c...

0 Chaitanya K. Joshi, et al. ∙

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