Theory of Machine Networks: A Case Study. - Rooz Mahdavian; Richard Diehl Martinez (CoRR, 2018)

Ignition: An End-to-End Supervised Model for Training Simulated Self-Driving Vehicles. - Rooz Mahdavian; Richard Diehl Martinez (CoRR, 2018)

Using General Adversarial Networks for Marketing: A Case Study of Airbnb. - Richard Diehl Martinez; John Kaleialoha Kamalu (CoRR, 2018)

Grapevine: A Wine Prediction Algorithm Using Multi-dimensional Clustering Methods. - Richard Diehl Martinez; Geoffrey Angus; Rooz Mahdavian (CoRR, 2018)

Via: Illuminating Academic Pathways at Scale. - Geoffrey Angus; Richard Diehl Martinez; Mitchell L. Stevens; Andreas Paepcke (L@S, 2019)

Automatically Neutralizing Subjective Bias in Text. - Reid Pryzant; Richard Diehl Martinez; Nathan Dass; Sadao Kurohashi; Dan Jurafsky; Diyi Yang (AAAI, 2020)

Attention-based Contextual Language Model Adaptation for Speech Recognition. - Richard Diehl Martinez; Scott Novotney; Ivan Bulyko; Ariya Rastrow; Andreas Stolcke; Ankur Gandhe (ACL/IJCNLP (Findings), 2021)

CLIMB: Curriculum Learning for Infant-inspired Model Building. - Richard Diehl Martinez; Zébulon Goriely; Hope McGovern; Christopher Davis; Andrew Caines; Paula Buttery; Lisa Beinborn (CoRR, 2023)

Mitigating Frequency Bias and Anisotropy in Language Model Pre-Training with Syntactic Smoothing. - Richard Diehl Martinez; Zébulon Goriely; Andrew Caines; Paula Buttery; Lisa Beinborn (EMNLP, 2024)

Tending Towards Stability: Convergence Challenges in Small Language Models. - Richard Diehl Martinez; Pietro Lesci; Paula Buttery (EMNLP (Findings), 2024)

Less is More: Pre-Training Cross-Lingual Small-Scale Language Models with Cognitively-Plausible Curriculum Learning Strategies. - Suchir Salhan; Richard Diehl Martinez; Zébulon Goriely; Paula Buttery (CoRR, 2024)

From Babble to Words: Pre-Training Language Models on Continuous Streams of Phonemes. - Zébulon Goriely; Richard Diehl Martinez; Andrew Caines; Lisa Beinborn; Paula Buttery (CoRR, 2024)

Learning Dynamics of Meta-Learning in Small Model Pretraining. - David Demitri Africa; Yuval Weiss; Paula Buttery; Richard Diehl Martinez (CoRR, 2025)