A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations. - Holger R. Roth; Le Lu 001; Ari Seff; Kevin M. Cherry; Joanne Hoffman; Shijun Wang; Jiamin Liu; Evrim Turkbey; Ronald M. Summers (MICCAI (1), 2014)

2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers. - Ari Seff; Le Lu 001; Kevin M. Cherry; Holger R. Roth; Jiamin Liu; Shijun Wang; Joanne Hoffman; Evrim B. Turkbey; Ronald M. Summers (MICCAI (1), 2014)

Interleaved text/image Deep Mining on a large-scale radiology database. - Hoo-Chang Shin; Le Lu 001; Lauren Kim; Ari Seff; Jianhua Yao 001; Ronald M. Summers (CVPR, 2015)

DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving. - Chenyi Chen; Ari Seff; Alain L. Kornhauser; Jianxiong Xiao (ICCV, 2015)

Anatomy-specific classification of medical images using deep convolutional nets. - Holger R. Roth; Christopher T. Lee; Hoo-Chang Shin; Ari Seff; Lauren Kim; Jianhua Yao 001; Le Lu 001; Ronald M. Summers (ISBI, 2015)

Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection. - Ari Seff; Le Lu 001; Adrian Barbu; Holger Roth; Hoo-Chang Shin; Ronald M. Summers (MICCAI (2), 2015)

LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop. - Fisher Yu 001; Yinda Zhang 001; Shuran Song; Ari Seff; Jianxiong Xiao (CoRR, 2015)

Learning from Maps: Visual Common Sense for Autonomous Driving. - Ari Seff; Jianxiong Xiao (CoRR, 2016)

Open-Source Radiation Exposure Extraction Engine (RE3) with Patient-Specific Outlier Detection. - Samuel J. Weisenthal; Les R. Folio; William Kovacs; Ari Seff; Vana Derderian; Ronald M. Summers; Jianhua Yao 001 (J. Digit. Imaging, 2016)

Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation. - Hoo-Chang Shin; Le Lu 001; Lauren Kim; Ari Seff; Jianhua Yao 001; Ronald M. Summers (J. Mach. Learn. Res., 2016)

Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation. - Holger R. Roth; Le Lu 001; Jiamin Liu; Jianhua Yao 001; Ari Seff; Kevin M. Cherry; Lauren Kim; Ronald M. Summers (IEEE Trans. Medical Imaging, 2016)

Continual Learning in Generative Adversarial Nets. - Ari Seff; Alex Beatson; Daniel Suo; Han Liu 001 (CoRR, 2017)

Efficient False Positive Reduction in Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation. - Holger R. Roth; Le Lu 001; Jiamin Liu; Jianhua Yao 001; Ari Seff; Kevin M. Cherry; Lauren Kim; Ronald M. Summers (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

Interleaved Text/Image Deep Mining on a Large-Scale Radiology Image Database. - Hoo-Chang Shin; Le Lu 001; Lauren Kim; Ari Seff; Jianhua Yao 001; Ronald M. Summers (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

An analysis of robust cost functions for CNN in computer-aided diagnosis. - Adrian Barbu; Le Lu 001; Holger Roth; Ari Seff; Ronald M. Summers (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018)

Discrete Object Generation with Reversible Inductive Construction. - Ari Seff; Wenda Zhou; Farhan N. Damani; Abigail G. Doyle; Ryan P. Adams (NeurIPS, 2019)

SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design. - Ari Seff; Yaniv Ovadia; Wenda Zhou; Ryan P. Adams (CoRR, 2020)

Vitruvion: A Generative Model of Parametric CAD Sketches. - Ari Seff; Wenda Zhou; Nick Richardson; Ryan P. Adams (ICLR, 2022)

MotionLM: Multi-Agent Motion Forecasting as Language Modeling. - Ari Seff; Brian Cera; Dian Chen; Mason Ng; Aurick Zhou; Nigamaa Nayakanti; Khaled S. Refaat; Rami Al-Rfou; Benjamin Sapp (ICCV, 2023)

Improving Agent Behaviors with RL Fine-Tuning for Autonomous Driving. - Zhenghao Peng; Wenjie Luo; Yiren Lu 001; Tianyi Shen; Cole Gulino; Ari Seff; Justin Fu (ECCV (25), 2024)

Scaling Laws of Motion Forecasting and Planning - A Technical Report. - Mustafa Baniodeh; Kratarth Goel; Scott Ettinger; Carlos Fuertes; Ari Seff; Tim Shen; Cole Gulino; Chenjie Yang; Ghassen Jerfel; Dokook Choe; Rui Wang; Vinutha Kallem; et al. (CoRR, 2025)