AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models. - Eric Wallace; Jens Tuyls; Junlin Wang; Sanjay Subramanian; Matt Gardner 001; Sameer Singh 001 (EMNLP/IJCNLP (3), 2019)

Generative Modeling of Atmospheric Convection. - Griffin Mooers; Jens Tuyls; Stephan Mandt; Mike Pritchard; Tom G. Beucler (CI, 2020)

Gradient-based Analysis of NLP Models is Manipulable. - Junlin Wang; Jens Tuyls; Eric Wallace; Sameer Singh 001 (EMNLP (Findings), 2020)

Generative Modeling for Atmospheric Convection. - Griffin Mooers; Jens Tuyls; Stephan Mandt; Michael S. Pritchard; Tom Beucler (CoRR, 2020)

Differentially Private Language Models Benefit from Public Pre-training. - Gavin Kerrigan; Dylan Slack; Jens Tuyls (CoRR, 2020)

Multi-Stage Episodic Control for Strategic Exploration in Text Games. - Jens Tuyls; Shunyu Yao; Sham M. Kakade; Karthik Narasimhan (ICLR, 2022)

Scaling Laws for Imitation Learning in NetHack. - Jens Tuyls; Dhruv Madeka; Kari Torkkola; Dean P. Foster; Karthik Narasimhan; Sham M. Kakade (CoRR, 2023)

Language-Guided World Models: A Model-Based Approach to AI Control. - Alex Zhang; Khanh Nguyen; Jens Tuyls; Albert Lin; Karthik Narasimhan (CoRR, 2024)

Scaling Laws for Imitation Learning in Single-Agent Games. - Jens Tuyls; Dhruv Madeka; Kari Torkkola; Dean P. Foster; Karthik R. Narasimhan; Sham M. Kakade (Trans. Mach. Learn. Res., 2024)

Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning. - Chongyi Zheng; Jens Tuyls; Joanne Peng; Benjamin Eysenbach (ICLR, 2025)