About Me!

My name is Ben Eisner, and I’m a Machine Learning Researcher and Software Engineer focusing on robotic systems that learn to interact with the unstructured world. I have a strong background in machine learning research and engineering, and have helped build systems that are used by hundreds of millions of people around the world.

Starting Fall 2020, I will be pursuing a Ph.D. in Robotics at Carnegie Mellon University in the Robotics Institute. I am also honored to be the recipient of the 2020 NSF Graduate Research Fellowship, which will support my my studies over the course of my Ph.D.

Here a recent version of my resume and my academic cv.

Google Scholar

Github

You can reach me at ben.a.eisner@gmail.com.

Publications:

2020

Robotic Grasping through Combined image-Based Grasp Proposal and 3D Reconstruction
Tarik Tosun, Daniel Yang, Ben Eisner, Volkan Isler, Daniel Lee
Under Review for IROS 2020
arxiv

2019

QXplore: Q-learning Exploration by Maximizing Temporal Difference Error
Riley Simmons-Edler, Ben Eisner, Eric Mitchell, Sebastian Seung, Daniel Lee
NeurIPS 2019 Workshop on Deep RL
arxiv

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, Sebastian Seung, Daniel Lee
IROS 2019
arxiv

Q-Learning for Continuous Actions with Cross-Entropy Guided Policies
Riley Simmons-Edler*, Ben Eisner*, Eric Mitchell, Sebastian Seung, Daniel Lee
ICML 2019 Workshop on RL4RealLife
arxiv

2017

Deep Learning Methods for 3D Segmentation of Neural Tissue in EM Images
Ben Eisner
Princeton University Senior Thesis
thesis | project

2016

emoji2vec: Learning emoji representations from their description
Ben Eisner, Tim Rocktäschel, Isabelle Augenstein, Matko Bošnjak, Sebastian Riedel
Best Paper at EMNLP 2016 Workshop on SocialNLP
arxiv | project