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  3. Low-Rank-Modulated Functa: Exploring the Latent Space of Imp
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Low-Rank-Modulated Functa: Exploring the Latent Space of Implicit Neural Representations for Interpretable Ultrasound Video Analysis

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Viability
0.0/10

Compared to this week’s papers

Evidence fresh

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 33

Proof: unverified

Freshness: fresh

Source paper: Low-Rank-Modulated Functa: Exploring the Latent Space of Implicit Neural Representations for Interpretable Ultrasound Video Analysis

PDF: https://arxiv.org/pdf/2603.25951v1

Repository: https://github.com/JuliaWolleb/LRM_Functa

Source count: 4

Coverage: 83%

Last proof check: 2026-03-30T20:30:37.361Z

Paper Conversation

Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.

Paper Mode

Low-Rank-Modulated Functa: Exploring the Latent Space of Implicit Neural Representations for Interpretable Ultrasound Video Analysis

Overall score: 7/10
Lineage: 19d6054831df…
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Canonical Paper Receipt

Last verification: 2026-03-30T20:30:37.361Z

Freshness: fresh

Proof: unverified

Repo: active

References: 33

Sources: 4

Coverage: 83%

Missingness
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Unknowns
  • - distribution readiness has not been computed yet

Mode Notes

  • Corpus mode searches the research corpus broadly.
  • Paper mode pins trust state to the canonical paper kernel.
  • Workspace mode blends saved sources, prior evidence queries, and linked papers.

Starting…

Dimensions overall score 7.0

GitHub Code Pulse

Stars
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Health
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Last commit
3/25/2026
Forks
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Open repository

Claim map

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Founder DNA

Julia Wolleb
Yale University
Papers 1
Founder signal: 50/100
Research
Cristiana Baloescu
Yale University
Papers 1
Founder signal: 50/100
Research
Alicia Durrer
University of Basel
Papers 1
Founder signal: 50/100
Research
Hemant D. Tagare
Yale University
Papers 1
Founder signal: 50/100
Research
Xenophon Papademetris
Yale University
Papers 1
Founder signal: 50/100
Research

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Keep exploring

Prior Work
LRConv-NeRV: Low Rank Convolution for Efficient Neural Video Compression
Score 7.0stable
Prior Work
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Prior Work
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Score 7.0stable
Higher Viability
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Score 8.0up
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Competing Approach
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Score 7.0stable

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Talent Scout

J

Julia Wolleb

Yale University

C

Cristiana Baloescu

Yale University

A

Alicia Durrer

University of Basel

H

Hemant D. Tagare

Yale University

View Repository

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