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Researcher Evidence Record

Gopinath Chennupati

This bounded record lists 20 Pith paper rows and 0 imported work rows attributed to this corpus identity. The enumerated, non-disputed paper rows include cs.DC, cs.LG, cs.PF work dated 2014 to 2023. 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: 10 fields (cs.DC, cs.LG, cs.PF, +7 more) · 2014-2023 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. 2023 Pith paper

    Federated Representation Learning for Automatic Speech Recognition

    cs.SD provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gopinath Chennupati
    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.
  2. 2023 Pith paper

    Federated Self-Learning with Weak Supervision for Speech Recognition

    eess.AS provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gopinath Chennupati
    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. 2023 Pith paper

    Learning When to Trust Which Teacher for Weakly Supervised ASR

    eess.AS provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gopinath Chennupati
    Author position
    4
    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. 2022 Pith paper

    Can Calibration Improve Sample Prioritization?

    cs.LG provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gopinath Chennupati
    Author position
    3
    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. 2022 Pith paper

    ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale

    cs.CL provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gopinath Chennupati
    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.
  6. 2022 Pith paper

    BB-ML: Basic Block Performance Prediction using Machine Learning Techniques

    cs.LG provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gopinath Chennupati
    Author position
    5
    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. 2021 Pith paper

    An Effective Baseline for Robustness to Distributional Shift

    cs.LG provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gopinath Chennupati
    Author position
    4
    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
  8. 2021 Pith paper

    PPT-Multicore: Performance Prediction of OpenMP applications using Reuse Profiles and Analytical Modeling

    cs.PF provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gopinath Chennupati
    Author position
    4
    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.
  9. 2021 Pith paper

    PPT-SASMM: Scalable Analytical Shared Memory Model: Predicting the Performance of Multicore Caches from a Single-Threaded Execution Trace

    cs.DC provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gopinath Chennupati
    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.
  10. 2020 Pith paper

    Machine Learning Enabled Scalable Performance Prediction of Scientific Codes

    cs.PF provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gopinath Chennupati
    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.
  11. 2020 Pith paper

    Decoy Selection for Protein Structure Prediction Via Extreme Gradient Boosting and Ranking

    q-bio.BM provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gopinath Chennupati
    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.
  12. 2020 Pith paper

    Why I'm not Answering: Understanding Determinants of Classification of an Abstaining Classifier for Cancer Pathology Reports

    cs.LG provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gopinath Chennupati
    Author position
    4
    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.
  13. 2020 Pith paper

    Distributed Non-Negative Tensor Train Decomposition

    cs.DC provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gopinath Chennupati
    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.
  14. 2020 Pith paper

    Verified Instruction-Level Energy Consumption Measurement for NVIDIA GPUs

    cs.DC provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gopinath Chennupati
    Author position
    7
    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.
  15. 2019 Pith paper

    Modeling Shared Cache Performance of OpenMP Programs using Reuse Distance

    cs.PF provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gopinath Chennupati
    Author position
    2
    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
  16. 2019 Pith paper

    On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks

    stat.ML provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gopinath Chennupati
    Author position
    2
    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
  17. 2019 Pith paper

    Combating Label Noise in Deep Learning Using Abstention

    stat.ML provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gopinath Chennupati
    Author position
    4
    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
  18. 2019 Pith paper

    Low Overhead Instruction Latency Characterization for NVIDIA GPGPUs

    cs.DC provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gopinath Chennupati
    Author position
    3
    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
  19. 2018 Pith paper

    Quantum Algorithm Implementations for Beginners

    cs.ET provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gopinath Chennupati
    Author position
    6
    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
  20. 2014 Pith paper

    eAnt-Miner : An Ensemble Ant-Miner to Improve the ACO Classification

    cs.NE provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gopinath Chennupati
    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.

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 20 of 20 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 20 bounded rows Coverage count only. No review outcome is projected onto the person.
source=current_verdicts
citations Measured 6 of 20 bounded rows Counts remain itemized by work and source.
source=cited_works
coauthors Measured 50 of 20 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
    Gopinath Chennupati
    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.

  • cs.DC4 rows
  • cs.LG4 rows
  • cs.PF3 rows
  • eess.AS2 rows
  • stat.ML2 rows
  • cs.CL1 rows
  • cs.ET1 rows
  • cs.NE1 rows
  • cs.SD1 rows
  • q-bio.BM1 rows
  • 20141 rows
  • 20181 rows
  • 20194 rows
  • 20205 rows
  • 20213 rows
  • 20223 rows
  • 20233 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.