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Researcher Evidence Record

Sayantan Bhadra

This bounded record lists 8 Pith paper rows and 0 imported work rows attributed to this corpus identity. The enumerated, non-disputed paper rows include eess.IV work dated 2020 to 2022. The record describes sources and coverage; it makes no judgment about the person.

Compiled coverage vector

Measured lane counts only. Not a trust score or person verdict.

Enumerated paper scope: 1 field (eess.IV) · 2020-2022 sources: authors, author_identifiers · paper_authors · author_works · current_verdicts · cited_works

A sourced case file for attributed work. It is neither a profile score nor a verdict about this researcher.

Attributed works

A bounded ledger from the Pith paper and imported-work queries. Counts and source confidence stay with each work.

  1. 2022 Pith paper

    Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems

    eess.IV provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Sayantan Bhadra
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 1 pith inbound references from cited_work_pith_inbound_counts
  2. 2021 Pith paper

    Learning stochastic object models from medical imaging measurements by use of advanced ambient generative adversarial networks

    eess.IV provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Sayantan Bhadra
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  3. 2021 Pith paper

    Advancing the AmbientGAN for learning stochastic object models

    eess.IV provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Sayantan Bhadra
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  4. 2020 Pith paper

    On hallucinations in tomographic image reconstruction

    eess.IV provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Sayantan Bhadra
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  5. 2020 Pith paper

    Compressible Latent-Space Invertible Networks for Generative Model-Constrained Image Reconstruction

    eess.IV provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Sayantan Bhadra
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  6. 2020 Pith paper

    Learning stochastic object models from medical imaging measurements using Progressively-Growing AmbientGANs

    eess.IV provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Sayantan Bhadra
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  7. 2020 Pith paper

    Medical image reconstruction with image-adaptive priors learned by use of generative adversarial networks

    eess.IV provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Sayantan Bhadra
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  8. 2020 Pith paper

    Progressively-Growing AmbientGANs For Learning Stochastic Object Models From Imaging Measurements

    eess.IV provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Sayantan Bhadra
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.

Evidence apparatus

The machinery behind this record. Every lane states whether Pith measured it, did not query it, could not reach it, or withheld it.

LaneStateObservedBoundary and source
identity Measured 2 Canonical identity row plus public typed identifiers.
source=authors, author_identifiers
papers Measured 8 of 8 bounded rows Rows attributed to this author UUID in the Pith corpus.
source=paper_authors
works Measured zero 0 of 0 bounded rows Imported works not duplicated by the paper ledger.
source=author_works
reviews Measured zero 0 of 8 bounded rows Coverage count only. No review outcome is projected onto the person.
source=current_verdicts
citations Measured 1 of 8 bounded rows Counts remain itemized by work and source.
source=cited_works
coauthors Measured 7 of 8 bounded rows Shared-work edges from admitted paper rows.
source=paper_authors
account Unavailable No public count of 1 bounded rows Account metadata is separate from corpus evidence.
source=users.author_id
Public identity sources
  • name variant
    Sayantan Bhadra
    backfill
    confidence 0.6
Enumerated research scope

Fields and dates come only from enumerated, non-disputed Pith paper rows. They do not claim career completeness.

  • eess.IV8 rows
  • 20205 rows
  • 20212 rows
  • 20221 rows
Shared-work index
Record scope

The work queries are bounded. Missing rows may mean measured zero, an unavailable source, a query that did not run, or private data that Pith withheld. The lane table keeps those cases separate.

Paper findings remain attached to papers. They do not become findings about this researcher.