Fast Agent-Based Simulation Framework of Limit Order Books with Applications to Pro-Rata Markets and the Study of Latency Effects. - Peter Belcak; Jan-Peter Calliess; Stefan Zohren (CoRR, 2020)

Fast Agent-Based Simulation Framework with Applications to Reinforcement Learning and the Study of Trading Latency Effects. - Peter Belcak; Jan-Peter Calliess; Stefan Zohren (MABS, 2021)

Deterministic Graph-Walking Program Mining. - Peter Belcak; Roger Wattenhofer (ADMA (1), 2022)

A Neural Model for Regular Grammar Induction. - Peter Belcak; David Hofer; Roger Wattenhofer (ICMLA, 2022)

FACT: Learning Governing Abstractions Behind Integer Sequences. - Peter Belcak; Ard Kastrati; Flavio Schenker; Roger Wattenhofer (NeurIPS, 2022)

Periodic Extrapolative Generalisation in Neural Networks. - Peter Belcak; Roger Wattenhofer (SSCI, 2022)

Neural Combinatorial Logic Circuit Synthesis from Input-Output Examples. - Peter Belcak; Roger Wattenhofer (CoRR, 2022)

Examining the Emergence of Deductive Reasoning in Generative Language Models. - Peter Belcák; Luca A. Lanzendörfer; Roger Wattenhofer (CoRR, 2023)

Fast Feedforward Networks. - Peter Belcak; Roger Wattenhofer (CoRR, 2023)

Exponentially Faster Language Modelling. - Peter Belcak; Roger Wattenhofer (CoRR, 2023)

UltraSparseBERT: 99% Conditionally Sparse Language Modelling. - Peter Belcak; Roger Wattenhofer (ACL (Short Papers), 2024)

Tiny Transformers Excel at Sentence Compression. - Peter Belcak; Roger Wattenhofer (CoRR, 2024)

Differentiable Approximation of Discreteness for Interpretable and Efficient Deep Learning. - Peter Belcak (2024)

Text Compression for Efficient Language Generation. - David Gu; Peter Belcak; Roger Wattenhofer (NAACL (Student Research Workshop), 2025)

CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training. - Shizhe Diao; Yu Yang; Yonggan Fu; Xin Dong 009; Dan Su 003; Markus Kliegl; Zijia Chen; Peter Belcak; Yoshi Suhara; Hongxu Yin; Mostofa Patwary; Yingyan Lin; et al. (CoRR, 2025)

Small Language Models are the Future of Agentic AI. - Peter Belcak; Greg Heinrich; Shizhe Diao; Yonggan Fu; Xin Dong 009; Saurav Muralidharan; Yingyan Celine Lin; Pavlo Molchanov 001 (CoRR, 2025)

Minifinetuning: Low-Data Generation Domain Adaptation through Corrective Self-Distillation. - Peter Belcak; Greg Heinrich; Jan Kautz; Pavlo Molchanov 001 (CoRR, 2025)