OpenProteinSet: Training data for structural biology at scale. - Gustaf Ahdritz; Nazim Bouatta; Sachin Kadyan; Lukas Jarosch; Daniel Berenberg; Ian Fisk; Andrew M. Watkins; Stephen Ra; Richard Bonneau; Mohammed AlQuraishi (NeurIPS, 2023)

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. - Shuaiwen Leon Song; Bonnie Kruft; Minjia Zhang; Conglong Li; Shiyang Chen 004; Chengming Zhang 006; Masahiro Tanaka; Xiaoxia Wu; Jeff Rasley; Ammar Ahmad Awan; Connor Holmes; Martin Cai; et al. (CoRR, 2023)

Distinguishing the Knowable from the Unknowable with Language Models. - Gustaf Ahdritz; Tian Qin; Nikhil Vyas 001; Boaz Barak; Benjamin L. Edelman (ICML, 2024)

Modeling Real-Time Interactive Conversations as Timed Diarized Transcripts. - Garrett Tanzer; Gustaf Ahdritz; Luke Melas-Kyriazi (CoRR, 2024)

Provable Uncertainty Decomposition via Higher-Order Calibration. - Gustaf Ahdritz; Aravind Gollakota; Parikshit Gopalan; Charlotte Peale; Udi Wieder (ICLR, 2025)

The SMeL Test: A simple benchmark for media literacy in language models. - Gustaf Ahdritz; Anat Kleiman (CoRR, 2025)