23 citations · 23 across the 2 of their papers we have counts for
4 papers
Geometry-aware Domain Adaptation for Unsupervised Alignment of Word Embeddings
Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
We propose a novel manifold based geometric approach for learning unsupervised alignment of word embeddings between the source and the target languages. Our approach formulates the…
A Simple Approach to Learning Unsupervised Multilingual Embeddings
Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
Recent progress on unsupervised learning of cross-lingual embeddings in bilingual setting has given impetus to learning a shared embedding space for several languages without any s…
Low-rank approximations of hyperbolic embeddings
Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
The hyperbolic manifold is a smooth manifold of negative constant curvature. While the hyperbolic manifold is well-studied in the literature, it has gained interest in the machine…
McTorch, a manifold optimization library for deep learning
Mayank Meghwanshi, Pratik Jawanpuria, Anoop Kunchukuttan +2
In this paper, we introduce McTorch, a manifold optimization library for deep learning that extends PyTorch. It aims to lower the barrier for users wishing to use manifold constrai…