Ben Eisner

According to our database, Ben Eisner authored at least 14 papers between 2016 and 2024.

Collaborative distances:

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

2024

Non-rigid Relative Placement through 3D Dense Diffusion.

Eric Cai, Octavian Donca, Ben Eisner, David Held

CoRR, 2024

FlowBotHD: History-Aware Diffuser Handling Ambiguities in Articulated Objects Manipulation.

Yishu Li, Wen Hui Leng, Yiming Fang, Ben Eisner, David Held

CoRR, 2024

On Time-Indexing as Inductive Bias in Deep RL for Sequential Manipulation Tasks.

Mohammad Nomaan Qureshi, Ben Eisner, David Held

CoRR, 2024

Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks.

Ben Eisner, Yi Yang, Todor Davchev, Mel Vecerík, Jonathan Scholz, David Held

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

FlowBot++: Learning Generalized Articulated Objects Manipulation via Articulation Projection.

Harry Zhang, Ben Eisner, David Held

Proceedings of the Conference on Robot Learning, 2023

2022

FlowBot3D: Learning 3D Articulation Flow to Manipulate Articulated Objects.

Ben Eisner, Harry Zhang, David Held

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Self-supervised Transparent Liquid Segmentation for Robotic Pouring.

Gautham Narayan Narasimhan, Kai Zhang, Ben Eisner, Xingyu Lin, David Held

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

TAX-Pose: Task-Specific Cross-Pose Estimation for Robot Manipulation.

Chuer Pan, Brian Okorn, Harry Zhang, Ben Eisner, David Held

Proceedings of the Conference on Robot Learning, 2022

2021

Robotic Grasping through Combined Image-Based Grasp Proposal and 3D Reconstruction.

Daniel Yang, Tarik Tosun, Benjamin Eisner, Volkan Isler, Daniel D. Lee

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Reward Prediction Error as an Exploration Objective in Deep RL.

Riley Simmons-Edler, Ben Eisner, Daniel Yang, Anthony Bisulco, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

QXplore: Q-learning Exploration by Maximizing Temporal Difference Error.

Riley Simmons-Edler, Ben Eisner, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee

CoRR, 2019

Q-Learning for Continuous Actions with Cross-Entropy Guided Policies.

Riley Simmons-Edler, Ben Eisner, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee

CoRR, 2019

Pixels to Plans: Learning Non-Prehensile Manipulation by Imitating a Planner.

Tarik Tosun, Eric Mitchell, Ben Eisner, Jinwook Huh, Bhoram Lee, Daewon Lee, Volkan Isler, H. Sebastian Seung, Daniel D. Lee

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2016

emoji2vec: Learning Emoji Representations from their Description.

Ben Eisner, Tim Rocktäschel, Isabelle Augenstein, Matko Bosnjak, Sebastian Riedel

Proceedings of The Fourth International Workshop on Natural Language Processing for Social Media, 2016