Emma Finn
Scholar

Emma Finn

Google Scholar ID: mavQNgEAAAAJ
Undergraduate Researcher, Harvard University
Diffusion ModelsEquivarianceInterpretability
Citations & Impact
All-time
Citations
30
 
H-index
1
 
i10-index
1
 
Publications
4
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Paper: When Rule Learning Breaks: Diffusion Fails to Learn Parity of Many Bits, accepted (oral) to NeurIPS Workshop on Structured Probabilistic Inference & Generative Modeling
  • Paper: Where the Score Lives: A Wavelet View of Diffusion, accepted to NeurIPS Workshop on Structured Probabilistic Inference & Generative Modeling
  • Paper: Origins of Creativity in Attention-Based Diffusion Models, ICML 2025 Workshop on High-Dimensional Learning Dynamics
  • Paper: Learning Artistic Signatures: Symmetry Discovery and Style Transfer, available on arXiv
  • Math Thesis: Rader's Algorithm for the Fast Fourier Transform
  • Blog: Score and Structure, exploring the intersections of algebraic structures and statistical inference
  • Classics Thesis: Quantifying the Past: Empirical Tropes in Greek Historiography
  • Junior Paper: Phaedrus and Fictionality, connecting Plato's Phaedrus to how technology interacts with fictionality and irony
Research Experience
  • Teaching Fellow: Fall 2025 - Statistics 210 – Graduate Probability I; Spring 2025 - Statistics 111 – Introduction to Statistical Inference; Fall 2024 - Statistics 110 – Introduction to Probability; Spring 2024 - Math 21B – Linear Algebra and Differential Equations; Fall 2023 - Math 21A – Multivariable Calculus
Education
  • A.M. in Statistics (expected May 2026), Harvard University; A.B. in Mathematics and Classics (expected May 2026), Harvard University
Background
  • Undergraduate at Harvard studying Mathematics and Classics, with an A.M. in Statistics through the concurrent AB/AM program. Research interests include probability theory, statistical modeling, and machine learning—especially interpretable models, stochastic processes, and the mathematics of diffusion.
Miscellany
  • Loves to read, bake (mostly scones and focaccia), and run (slowly!). Also a huge NYT-connections enthusiast. If you have advice on surviving your first marathon, please drop her a line!
Co-authors
0 total
Co-authors: 0 (list not available)