David Yunis

According to our database, David Yunis authored at least 10 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Teaching an Agent to Sketch One Part at a Time.

Xiaodan Du, Ruize Xu, David Yunis, Yael Vinker, Greg Shakhnarovich

CoRR, March, 2026

Reducing the Scope of Language Models.

David Yunis, Siyu Huo, Chulaka Gunasekara, Danish Contractor

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Context-Efficient Retrieval with Factual Decomposition.

Yanhong Li, David Yunis, David McAllester, Jiawei Zhou

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

Reducing the Scope of Language Models with Circuit Breakers.

David Yunis, Siyu Huo, R. Chulaka Gunasekara, Danish Contractor

CoRR, 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

Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning.

David Yunis, Justin Jung, Falcon Z. Dai, Matthew R. Walter

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations.

Xiao Zhang, David Yunis, Michael Maire

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2019

Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning.

Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter

Proceedings of the International Conference on Robotics and Automation, 2019

2017

Jointly optimizing placement and inference for beacon-based localization.

Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017