Jointly optimizing placement and inference for beacon-based localization. - Charles B. Schaff; David Yunis; Ayan Chakrabarti; Matthew R. Walter (IROS, 2017)

Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning. - Charles B. Schaff; David Yunis; Ayan Chakrabarti; Matthew R. Walter (ICRA, 2019)

Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations. - Xiao Zhang; David Yunis; Michael Maire (CVPR, 2024)

Statler: State-Maintaining Language Models for Embodied Reasoning. - Takuma Yoneda; Jiading Fang; Peng Li; Huanyu Zhang; Tianchong Jiang; Shengjie Lin; Ben Picker; David Yunis; Hongyuan Mei; Matthew R. Walter (ICRA, 2024)

Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning. - David Yunis; Justin Jung; Falcon Z. Dai; Matthew R. Walter (NeurIPS, 2024)

Approaching Deep Learning through the Spectral Dynamics of Weights. - David Yunis; Kumar Kshitij Patel; Samuel Wheeler; Pedro Savarese; Gal Vardi; Karen Livescu; Michael Maire; Matthew R. Walter (CoRR, 2024)

Reducing the Scope of Language Models with Circuit Breakers. - David Yunis; Siyu Huo; R. Chulaka Gunasekara; Danish Contractor (CoRR, 2024)

Context-Efficient Retrieval with Factual Decomposition. - Yanhong Li; David Yunis; David McAllester; Jiawei Zhou (NAACL (Short Papers), 2025)