Deep Reinforcement Learning With Macro-Actions. - Ishan P. Durugkar; Clemens Rosenbaum; Stefan Dernbach; Sridhar Mahadevan (CoRR, 2016)

Learning to Query, Reason, and Answer Questions On Ambiguous Texts. - Xiaoxiao Guo; Tim Klinger; Clemens Rosenbaum; Joseph P. Bigus; Murray Campbell; Ban Kawas; Kartik Talamadupula; Gerry Tesauro; Satinder Singh 001 (ICLR (Poster), 2017)

e-QRAQ: A Multi-turn Reasoning Dataset and Simulator with Explanations. - Clemens Rosenbaum; Tian Gao; Tim Klinger (CoRR, 2017)

Eigenoption Discovery through the Deep Successor Representation. - Marlos C. Machado; Clemens Rosenbaum; Xiaoxiao Guo; Miao Liu 001; Gerald Tesauro; Murray Campbell (ICLR (Poster), 2018)

Routing Networks: Adaptive Selection of Non-Linear Functions for Multi-Task Learning. - Clemens Rosenbaum; Tim Klinger; Matthew Riemer (ICLR (Poster), 2018)

Recursive Routing Networks: Learning to Compose Modules for Language Understanding. - Ignacio Cases; Clemens Rosenbaum; Matthew Riemer; Atticus Geiger; Tim Klinger; Alex Tamkin; Olivia Li; Sandhini Agarwal; Joshua D. Greene; Dan Jurafsky; Christopher Potts; Lauri Karttunen (NAACL-HLT (1), 2019)

Routing Networks and the Challenges of Modular and Compositional Computation. - Clemens Rosenbaum; Ignacio Cases; Matthew Riemer; Tim Klinger (CoRR, 2019)

On the Role of Weight Sharing During Deep Option Learning. - Matthew Riemer; Ignacio Cases; Clemens Rosenbaum; Miao Liu 001; Gerald Tesauro (AAAI, 2020)

CEREAL: Few-Sample Clustering Evaluation. - Nihal V. Nayak; Ethan R. Elenberg; Clemens Rosenbaum (CoRR, 2022)

GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks. - Shivanshu Gupta; Clemens Rosenbaum; Ethan R. Elenberg (ICML, 2024)