Associative Memories via Predictive Coding. - Tommaso Salvatori; Yuhang Song 001; Yujian Hong; Lei Sha; Simon Frieder; Zhenghua Xu 001; Rafal Bogacz; Thomas Lukasiewicz (NeurIPS, 2021)

(Non-)Convergence Results for Predictive Coding Networks. - Simon Frieder; Thomas Lukasiewicz (ICML, 2022)

Mathematical Capabilities of ChatGPT. - Simon Frieder; Luca Pinchetti; Alexis Chevalier; Ryan-Rhys Griffiths; Tommaso Salvatori; Thomas Lukasiewicz; Philipp Petersen; Julius Berner (NeurIPS, 2023)

GAUCHE: A Library for Gaussian Processes in Chemistry. - Ryan-Rhys Griffiths; Leo Klarner; Henry B. Moss; Aditya Ravuri; Sang Truong; Yuanqi Du; Samuel Stanton; Gary Tom; Bojana Rankovic; Arian Rokkum Jamasb; Aryan Deshwal; Julius Schwartz; et al. (NeurIPS, 2023)

Evaluating Language Models for Mathematics through Interactions. - Katherine M. Collins; Albert Q. Jiang; Simon Frieder; Lionel Wong; Miri Zilka; Umang Bhatt; Thomas Lukasiewicz; Yuhuai Wu; Joshua B. Tenenbaum; William Hart; Timothy Gowers; Wenda Li; et al. (CoRR, 2023)

The ARRT of Language-Models-as-a-Service: Overview of a New Paradigm and its Challenges. - Emanuele La Malfa; Aleksandar Petrov; Simon Frieder; Christoph Weinhuber; Ryan Burnell; Anthony G. Cohn 001; Nigel Shadbolt; Michael J. Wooldridge (CoRR, 2023)

Large Language Models for Mathematicians. - Simon Frieder; Julius Berner; Philipp Petersen; Thomas Lukasiewicz (CoRR, 2023)

The IMO Small Challenge: Not-Too-Hard Olympiad Math Datasets for LLMs. - Simon Frieder; Mirek Olsák; Julius Berner; Thomas Lukasiewicz (Tiny Papers @ ICLR, 2024)

Bad Predictive Coding Activation Functions. - Simon Frieder; Luca Pinchetti; Thomas Lukasiewicz (Tiny Papers @ ICLR, 2024)

Language Models as Science Tutors. - Alexis Chevalier; Jiayi Geng; Alexander Wettig; Howard Chen 003; Sebastian Mizera; Toni Annala; Max Jameson Aragon; Arturo Rodríguez Fanlo; Simon Frieder; Simon Machado; Akshara Prabhakar; Ellie Thieu; et al. (ICML, 2024)

Language Models as Science Tutors. - Alexis Chevalier; Jiayi Geng; Alexander Wettig; Howard Chen 003; Sebastian Mizera; Toni Annala; Max Jameson Aragon; Arturo Rodríguez Fanlo; Simon Frieder; Simon Machado; Akshara Prabhakar; Ellie Thieu; et al. (CoRR, 2024)

Benchmarking Predictive Coding Networks - Made Simple. - Luca Pinchetti; Chang Qi; Oleh Lokshyn; Gaspard Olivers; Cornelius Emde; Mufeng Tang; Amine M'Charrak; Simon Frieder; Bayar Menzat; Rafal Bogacz; Thomas Lukasiewicz; Tommaso Salvatori (CoRR, 2024)

Dimension-independent learning rates for high-dimensional classification problems. - Andrés Felipe Lerma Pineda; Philipp Petersen; Simon Frieder; Thomas Lukasiewicz (CoRR, 2024)

Newclid: A User-Friendly Replacement for AlphaGeometry. - Vladmir Sicca; Tianxiang Xia; Mathïs Fédérico; Philip John Gorinski; Simon Frieder; Shangling Jui (CoRR, 2024)

Data for Mathematical Copilots: Better Ways of Presenting Proofs for Machine Learning. - Simon Frieder; Jonas Bayer; Katherine M. Collins; Julius Berner; Jacob Loader; András Juhász; Fabian Ruehle; Sean Welleck; Gabriel Poesia; Ryan-Rhys Griffiths; Adrian Weller; Anirudh Goyal; et al. (CoRR, 2024)

Analyzing global utilization and missed opportunities in debt-for-nature swaps with generative AI. - Nataliya Tkachenko; Simon Frieder; Ryan-Rhys Griffiths; Christoph Nedopil (Frontiers Artif. Intell., 2024)

Language-Models-as-a-Service: Overview of a New Paradigm and its Challenges. - Emanuele La Malfa; Aleksandar Petrov; Simon Frieder; Christoph Weinhuber; Ryan Burnell; Raza Nazar; Anthony G. Cohn 001; Nigel Shadbolt; Michael J. Wooldridge (J. Artif. Intell. Res., 2024)

Benchmarking Predictive Coding Networks - Made Simple. - Luca Pinchetti; Chang Qi; Oleh Lokshyn; Cornelius Emde; Amine M'Charrak; Mufeng Tang; Simon Frieder; Bayar Menzat; Gaspard Oliviers; Rafal Bogacz; Thomas Lukasiewicz; Tommaso Salvatori (ICLR, 2025)

No LLM Solved Yu Tsumura's 554th Problem. - Simon Frieder; William Hart (CoRR, 2025)