Human Leg Model Predicts Muscle Forces, States, and Energetics during Walking. - Jared Markowitz; Hugh M. Herr (PLoS Comput. Biol., 2016)

Hierarchical zero-shot classification with convolutional neural network features and semantic attribute learning. - Jared Markowitz; Aurora C. Schmidt; Philippe M. Burlina; I-Jeng Wang (MVA, 2017)

Combining Deep Universal Features, Semantic Attributes, and Hierarchical Classification for Zero-Shot Learning. - Jared Markowitz; Aurora C. Schmidt; Philippe M. Burlina; I-Jeng Wang (CoRR, 2017)

On the Complexity of Reconnaissance Blind Chess. - Jared Markowitz; Ryan W. Gardner; Ashley J. Llorens (CoRR, 2018)

The First International Competition in Machine Reconnaissance Blind Chess. - Ryan W. Gardner; Corey Lowman; Casey Richardson; Ashley J. Llorens; Jared Markowitz; Nathan Drenkow; Andrew Newman; Gregory Clark; Gino Perrotta; Robert Perrotta; Timothy Highley; Vlad Shcherbina; et al. (NeurIPS (Competition and Demos), 2019)

Objectness-Guided Open Set Visual Search and Closed Set Detection. - Nathan Drenkow; Philippe Burlina; Neil Fendley; Kachi Odoemene; Jared Markowitz (CoRR, 2020)

Group-Aware Robot Navigation in Crowded Environments. - Kapil D. Katyal; Yuxiang Gao; Jared Markowitz; I-Jeng Wang; Chien-Ming Huang 001 (CoRR, 2020)

Deep CPT-RL: Imparting Human-Like Risk Sensitivity to Artificial Agents. - Jared Markowitz; Marie Chau; I-Jeng Wang (SafeAI@AAAI, 2021)

Addressing Visual Search in Open and Closed Set Settings. - Nathan Drenkow; Philippe Burlina; Neil Fendley; Onyekachi Odoemene; Jared Markowitz (CVPR Workshops, 2021)

Meta Arcade: A Configurable Environment Suite for Meta-Learning. - Edward W. Staley; Chace Ashcraft; Benjamin Stoler; Jared Markowitz; Gautam K. Vallabha; Christopher Ratto; Kapil D. Katyal (CoRR, 2021)

Learning a Group-Aware Policy for Robot Navigation. - Kapil D. Katyal; Yuxiang Gao; Jared Markowitz; Sara Pohland; Corban G. Rivera; I-Jeng Wang; Chien-Ming Huang 001 (IROS, 2022)

Triangular Dropout: Variable Network Width without Retraining. - Edward W. Staley; Jared Markowitz (CoRR, 2022)

A Risk-Sensitive Approach to Policy Optimization. - Jared Markowitz; Ryan W. Gardner; Ashley J. Llorens; Raman Arora; I-Jeng Wang (AAAI, 2023)

Clipped-Objective Policy Gradients for Pessimistic Policy Optimization. - Jared Markowitz; Edward W. Staley (CoRR, 2023)

Handling Cost and Constraints with Off-Policy Deep Reinforcement Learning. - Jared Markowitz; Jesse Silverberg; Gary Collins (CoRR, 2023)