Noise2Self: Blind Denoising by Self-Supervision. - Joshua Batson; Loïc Royer (ICML, 2019)

Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning​. - Shreyas Fadnavis; Joshua Batson; Eleftherios Garyfallidis (NeurIPS, 2020)

Image Deconvolution via Noise-Tolerant Self-Supervised Inversion. - Hirofumi Kobayashi; Ahmet Can Solak; Joshua Batson; Loïc Alain Royer (CoRR, 2020)

Topological Obstructions to Autoencoding. - Joshua Batson; C. Grace Haaf; Yonatan Kahn; Daniel A. Roberts (CoRR, 2021)

Scaling Laws in Jet Classification. - Joshua Batson; Yonatan Kahn (CoRR, 2023)

Denoising of diffusion MRI in the cervical spinal cord - effects of denoising strategy and acquisition on intra-cord contrast, signal modeling, and feature conspicuity. - Kurt G. Schilling; Shreyas Fadnavis; Joshua Batson; Mereze Visagie; Anna J. E. Combes; Samantha By; Colin D. Mcknight; Francesca Bagnato; Eleftherios Garyfallidis; Bennett A. Landman; Seth A. Smith; Kristin P. O'Grady (NeuroImage, 2023)

Patch2Self2: Self-Supervised Denoising on Coresets via Matrix Sketching. - Shreyas Fadnavis; Agniva Chowdhury; Joshua Batson; Petros Drineas; Eleftherios Garyfallidis (CVPR, 2024)

Many-shot Jailbreaking. - Cem Anil; Esin Durmus; Nina Panickssery; Mrinank Sharma; Joe Benton; Sandipan Kundu; Joshua Batson; Meg Tong; Jesse Mu; Daniel Ford; Francesco Mosconi; Rajashree Agrawal; et al. (NeurIPS, 2024)

Open Problems in Mechanistic Interpretability. - Lee Sharkey; Bilal Chughtai; Joshua Batson; Jack Lindsey; Jeff Wu 003; Lucius Bushnaq; Nicholas Goldowsky-Dill; Stefan Heimersheim; Alejandro Ortega; Joseph Isaac Bloom; Stella Biderman; Adrià Garriga-Alonso; et al. (CoRR, 2025)

Auditing language models for hidden objectives. - Samuel Marks; Johannes Treutlein; Trenton Bricken; Jack Lindsey; Jonathan Marcus; Siddharth Mishra-Sharma; Daniel M. Ziegler; Emmanuel Ameisen; Joshua Batson; Tim Belonax; Samuel R. Bowman; Shan Carter; et al. (CoRR, 2025)