◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Snigdha Bhagat

4 papers hereh-index 329 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ML2
  • math.ST1
  • q-fin.ST1

identity via Semantic Scholar / OpenAlex

activity
20202024
most citedCompany Similarity using Large Language Models

3 citations · 4 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ML2024

Quantile Regression using Random Forest Proximities

Mingshu Li, Bhaskarjit Sarmah, Dhruv Desai +4

Due to the dynamic nature of financial markets, maintaining models that produce precise predictions over time is difficult. Often the goal isn't just point prediction but determini…

q-fin.ST2023★ 3 cited

Company Similarity using Large Language Models

Dimitrios Vamvourellis, Máté Toth, Snigdha Bhagat +3

Identifying companies with similar profiles is a core task in finance with a wide range of applications in portfolio construction, asset pricing and risk attribution. When a rigoro…

stat.ML2020★ 1 cited

Image fusion using symmetric skip autoencodervia an Adversarial Regulariser

Snigdha Bhagat, S. D. Joshi, Brejesh Lall

It is a challenging task to extract the best of both worlds by combining the spatial characteristics of a visible image and the spectral content of an infrared image. In this work,…

math.ST2020

Quantification of Differential Information using Matrix Pencil

Snigdha Bhagat, S. D. Joshi

Any traditional classification problem in general involves modelling individual classes and in turn classification by evaluating the similarity of the test set with the modelled cl…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.