LabCompass

Vibhas Vats

Computer Science · Indiana University

OpenAlex ORCID
Advanced Vision and ImagingGenerative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot LearningMachine Learning and Data ClassificationAdvanced Neural Network Applications

Publications

16

Citations

71

Est. group size

—

Recurring co-author estimate

Active years

9

Publishing since 2018

Research summary
AI-generated

Vibhas Vats works in computer vision and machine learning, with recent projects focused on understanding how image-generating AI models behave, including a study of feedback loops that can cause these models to degrade over time (a phenomenon called model collapse). Earlier work addressed practical prediction problems such as forecasting electricity load for buildings and handling communication failures in smart meters.

Computer vision and image analysisGenerative AI and image synthesisModel collapse and feedback dynamicsDomain adaptation and few-shot learningLoad forecasting and applied machine learning

Publication activity has been growing in recent years, rising from occasional papers earlier in the decade to a peak of several per year in 2024 and 2025.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.6/year recently
172018: 1 publication18192020: 1 publication202021: 1 publication21222023: 2 publications232024: 4 publications242025: 5 publications5252026: 2 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×6
  • Lecture notes in computer science×3
  • Neurocomputing×2
  • ACM Computing Surveys×1
  • Lecture notes in electrical engineering×1

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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