Hello! I'm a senior PhD student at Caltech working with Prof. Katie Bouman in the Computing & Mathematical Sciences Department. Previously, I graduated from Princeton University summa cum laude, with a major in Computer Science and minor in Statistics & Machine Learning. I'm interested in computational imaging, in particular incorporating physics-informed and data-driven priors into ill-posed inverse problems.

News

Jan 2025 Check out my article on Seeing Beyond the Blur with Generative AI in the ACM’s XRDS Magazine!

Nov 2024 Presented an invited talk at the SCIEN seminar series at Stanford University.

Oct 2024 Presented an invited talk for the imaging reading group at Carnegie Mellon University.

Sep 2024 Presented an invited plenary talk at the Deep Learning for Inverse Problems workshop at DESY in Hamburg, Germany.

Aug 2024 Presented a lightning talk and poster at the Computational Imaging workshop hosted by the Institute for Mathematical and Statistical Innovation (IMSI) at the University of Chicago.

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Highlighted Publications

Neural Approximate Mirror Maps for Constrained Diffusion Models

Berthy T. Feng, Ricardo Baptista, Katherine L. Bouman

arXiv, 2024

arXiv

Event-horizon-scale Imaging of M87* under Different Assumptions via Deep Generative Image Priors

Berthy T. Feng, Katherine L. Bouman, William T. Freeman

The Astrophysical Journal (ApJ), 2024

Webpage arXiv

Variational Bayesian Imaging with an Efficient Surrogate Score-based Prior

Berthy T. Feng, Katherine L. Bouman

Transactions on Machine Learning Research (TMLR), 2024

Webpage PDF Code

Score-Based Diffusion Models as Principled Priors for Inverse Imaging

Berthy T. Feng, Jamie Smith, Michael Rubinstein, Huiwen Chang, Katherine L. Bouman, William T. Freeman

ICCV, 2023

Webpage arXiv Code

Visual Vibration Tomography: Estimating Interior Material Properties from Monocular Video

Berthy T. Feng, Alexander C. Ogren, Chiara Daraio, Katherine L. Bouman

CVPR, 2022

Oral, Best Paper Finalist (top 1.6% of accepted papers)

Webpage arXiv Code

Other Publications

Provable Probabilistic Imaging Using Score-Based Generative Priors

Yu Sun, Zihui Wu, Yifan Chen, Berthy T. Feng, Katherine L. Bouman

IEEE Transactions on Computational Imaging (TCI), 2024

PDF

Score-based Diffusion Models for Photoacoustic Tomography Image Reconstruction

Sreemanti Dey, Snigdha Saha, Berthy T. Feng, Manxiu Cui, Laure Delisle, Oscar Leong, Lihong V. Wang, Katherine L. Bouman

ICASSP, 2024

PDF

Gaussian process regression as a surrogate model for the computation of dispersion relations

Alexander C. Ogren, Berthy T. Feng, Katherine L. Bouman, Chiara Daraio

Computer Methods in Applied Mechanics and Engineering (CMAME), 2024

PDF

Towards Unique and Informative Captioning of Images

Zeyu Wang, Berthy T. Feng, Karthik Narasimhan, Olga Russakovsky

ECCV, 2020

PDF Code

Learning Bandwidth Expansion Using Perceptually-Motivated Loss

Berthy T. Feng, Zeyu Jin, Jiaqi Su, Adam Finkelstein

ICASSP, 2019

PDF Code