Alan Fern

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 109

Top Venues

Publications

Jeremy Dao, Helei Duan, Alan Fern
Sim-to-Real Learning for Humanoid Box Loco-Manipulation. ICRA (2024)
Bikram Pandit, Ashutosh Gupta, Mohitvishnu S. Gadde, Addison Johnson, Aayam Kumar Shrestha, Helei Duan, Jeremy Dao, Alan Fern
Learning Decentralized Multi-Biped Control for Payload Transport. CoRR (2024)
Bart van Marum, Aayam Shrestha, Helei Duan, Pranay Dugar, Jeremy Dao, Alan Fern
Revisiting Reward Design and Evaluation for Robust Humanoid Standing and Walking. CoRR (2024)
Alan Fern, Margaret Burnett, Joseph R. Davidson, Janardhan Rao Doppa, Paola Pesántez-Cabrera, Ananth Kalyanaraman
AgAID Institute - AI for agricultural labor and decision support. AI Mag. 45 (1) (2024)
Rupasree Dey, Alan Fern
Data-Driven Structural Fire Risk Prediction for City Properties. AAAI (2024)
Krishu K. Thapa, Bhupinderjeet Singh, Supriya Savalkar, Alan Fern, Kirti Rajagopalan, Ananth Kalyanaraman
Attention-Based Models for Snow-Water Equivalent Prediction. AAAI (2024)
Helei Duan, Bikram Pandit, Mohitvishnu S. Gadde, Bart van Marum, Jeremy Dao, Chanho Kim, Alan Fern
Learning Vision-Based Bipedal Locomotion for Challenging Terrain. ICRA (2024)
Aseem Saxena, Paola Pesantez-Cabrera, Rohan Ballapragada, Markus Keller, Alan Fern
Multi-Task Learning for Budbreak Prediction. CoRR (2023)
Aseem Saxena, Paola Pesantez-Cabrera, Rohan Ballapragada, Kin-Ho Lam, Markus Keller, Alan Fern
Grape Cold Hardiness Prediction via Multi-Task Learning. AAAI (2023)
Helei Duan, Bikram Pandit, Mohitvishnu S. Gadde, Bart Jaap van Marum, Jeremy Dao, Chanho Kim, Alan Fern
Learning Vision-Based Bipedal Locomotion for Challenging Terrain. CoRR (2023)
Jeremy Dao, Helei Duan, Alan Fern
Sim-to-Real Learning for Humanoid Box Loco-Manipulation. CoRR (2023)
Krishu K. Thapa, Bhupinderjeet Singh, Supriya Savalkar, Alan Fern, Kirti Rajagopalan, Ananth Kalyanaraman
Attention-based Models for Snow-Water Equivalent Prediction. CoRR (2023)
Devin Crowley, Jeremy Dao, Helei Duan, Kevin Green, Jonathan W. Hurst, Alan Fern
Optimizing Bipedal Locomotion for The 100m Dash With Comparison to Human Running. ICRA (2023)
Helei Duan, Ashish Malik, Jeremy Dao, Aseem Saxena, Kevin Green, Jonah Siekmann, Alan Fern, Jonathan W. Hurst
Sim-to-Real Learning of Footstep-Constrained Bipedal Dynamic Walking. CoRR (2022)
Helei Duan, Ashish Malik, Jeremy Dao, Aseem Saxena, Kevin Green, Jonah Siekmann, Alan Fern, Jonathan W. Hurst
Sim-to-Real Learning of Footstep-Constrained Bipedal Dynamic Walking. ICRA (2022)
Aseem Saxena, Paola Pesantez-Cabrera, Rohan Ballapragada, Kin-Ho Lam, Markus Keller, Alan Fern
Grape Cold Hardiness Prediction via Multi-Task Learning. CoRR (2022)
Si Liu, Risheek Garrepalli, Dan Hendrycks, Alan Fern, Debashis Mondal, Thomas G. Dietterich
PAC Guarantees and Effective Algorithms for Detecting Novel Categories. J. Mach. Learn. Res. 23 (2022)
Kin-Ho Lam, Delyar Tabatabai, Jed Irvine, Donald Bertucci, Anita Ruangrotsakun, Minsuk Kahng, Alan Fern
Beyond Value: CHECKLIST for Testing Inferences in Planning-Based RL. CoRR (2022)
Risheek Garrepalli, Alan Fern, Thomas G. Dietterich
Oracle Analysis of Representations for Deep Open Set Detection. CoRR (2022)
Ryan Batke, Fangzhou Yu, Jeremy Dao, Jonathan W. Hurst, Ross L. Hatton, Alan Fern, Kevin Green
Optimizing Bipedal Maneuvers of Single Rigid-Body Models for Reinforcement Learning. CoRR (2022)
Helei Duan, Ashish Malik, Mohitvishnu S. Gadde, Jeremy Dao, Alan Fern, Jonathan W. Hurst
Learning Dynamic Bipedal Walking Across Stepping Stones. CoRR (2022)
Fangzhou Yu, Ryan Batke, Jeremy Dao, Jonathan W. Hurst, Kevin Green, Alan Fern
Dynamic Bipedal Maneuvers through Sim-to-Real Reinforcement Learning. CoRR (2022)
Helei Duan, Ashish Malik, Mohitvishnu S. Gadde, Jeremy Dao, Alan Fern, Jonathan W. Hurst
Learning Dynamic Bipedal Walking Across Stepping Stones. IROS (2022)
Roli Khanna, Jonathan Dodge, Andrew Anderson, Rupika Dikkala, Jed Irvine, Zeyad Shureih, Kin-Ho Lam, Caleb R. Matthews, Zhengxian Lin, Minsuk Kahng, Alan Fern, Margaret Burnett
Finding AI's Faults with AAR/AI: An Empirical Study. ACM Trans. Interact. Intell. Syst. 12 (1) (2022)
Ryan Batke, Fangzhou Yu, Jeremy Dao, Jonathan W. Hurst, Ross L. Hatton, Alan Fern, Kevin Green
Optimizing Bipedal Maneuvers of Single Rigid-Body Models for Reinforcement Learning. Humanoids (2022)
Ananth Kalyanaraman, Margaret Burnett, Alan Fern, Lav R. Khot, Joshua Viers
Special report: The AgAID AI institute for transforming workforce and decision support in agriculture. Comput. Electron. Agric. 197 (2022)
Fangzhou Yu, Ryan Batke, Jeremy Dao, Jonathan W. Hurst, Kevin Green, Alan Fern
Dynamic Bipedal Turning through Sim-to-Real Reinforcement Learning. Humanoids (2022)
Kin-Ho Lam, Delyar Tabatabai, Jed Irvine, Donald Bertucci, Anita Ruangrotsakun, Minsuk Kahng, Alan Fern
Beyond Value: CheckList for Testing Inferences in Planning-Based RL. ICAPS (2022)
Jeremy Dao, Kevin Green, Helei Duan, Alan Fern, Jonathan W. Hurst
Sim-to-Real Learning for Bipedal Locomotion Under Unsensed Dynamic Loads. ICRA (2022)
Jeremy Dao, Kevin Green, Helei Duan, Alan Fern, Jonathan W. Hurst
Sim-to-Real Learning for Bipedal Locomotion Under Unsensed Dynamic Loads. CoRR (2022)
Anurag Koul, Mariano Phielipp, Alan Fern
Offline Policy Comparison with Confidence: Benchmarks and Baselines. CoRR (2022)
Delyar Tabatabai, Anita Ruangrotsakun, Jed Irvine, Jonathan Dodge, Zeyad Shureih, Kin-Ho Lam, Margaret Burnett, Alan Fern, Minsuk Kahng
"Why did my AI agent lose?": Visual Analytics for Scaling Up After-Action Review. IEEE VIS (Short Papers) (2021)
Aayam Kumar Shrestha, Stefan Lee, Prasad Tadepalli, Alan Fern
DeepAveragers: Offline Reinforcement Learning By Solving Derived Non-Parametric MDPs. ICLR (2021)
Mohamad H. Danesh, Anurag Koul, Alan Fern, Saeed Khorram
Re-understanding Finite-State Representations of Recurrent Policy Networks. ICML (2021)
Helei Duan, Jeremy Dao, Kevin Green, Taylor Apgar, Alan Fern, Jonathan W. Hurst
Learning Task Space Actions for Bipedal Locomotion. ICRA (2021)
Jonah Siekmann, Yesh Godse, Alan Fern, Jonathan W. Hurst
Sim-to-Real Learning of All Common Bipedal Gaits via Periodic Reward Composition. ICRA (2021)
Vivswan Shitole, Fuxin Li, Minsuk Kahng, Prasad Tadepalli, Alan Fern
One Explanation is Not Enough: Structured Attention Graphs for Image Classification. NeurIPS (2021)
Sam Greydanus, Stefan Lee, Alan Fern
Piecewise-constant Neural ODEs. CoRR (2021)
Mohamad H. Danesh, Alan Fern
Out-of-Distribution Dynamics Detection: RL-Relevant Benchmarks and Results. CoRR (2021)
Jonah Siekmann, Kevin Green, John Warila, Alan Fern, Jonathan W. Hurst
Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning. Robotics: Science and Systems (2021)
Jose Picado, Arash Termehchy, Alan Fern, Sudhanshu Pathak, Praveen Ilango, John Davis
Scalable and Usable Relational Learning With Automatic Language Bias. SIGMOD Conference (2021)
Hoang Le, Justine E. Hoch, Ori Ossmy, Karen E. Adolph, Xiaoli Z. Fern, Alan Fern
Modeling Infant Free Play Using Hidden Markov Models. ICDL (2021)
Erich Merrill, Stefan Lee, Fuxin Li, Thomas G. Dietterich, Alan Fern
Deep Convolution for Irregularly Sampled Temporal Point Clouds. CoRR (2021)
Erich Merrill, Alan Fern, Xiaoli Z. Fern, Nima Dolatnia
An Empirical Study of Bayesian Optimization: Acquisition Versus Partition. J. Mach. Learn. Res. 22 (2021)
Li Fuxin, Zhongang Qi, Saeed Khorram, Vivswan Shitole, Prasad Tadepalli, Minsuk Kahng, Alan Fern
From Heatmaps to Structural Explanations of Image Classifiers. CoRR (2021)
Kevin Green, Yesh Godse, Jeremy Dao, Ross L. Hatton, Alan Fern, Jonathan W. Hurst
Learning Spring Mass Locomotion: Guiding Policies With a Reduced-Order Model. IEEE Robotics Autom. Lett. 6 (2) (2021)
Jonathan Dodge, Roli Khanna, Jed Irvine, Kin-Ho Lam, Theresa Mai, Zhengxian Lin, Nicholas Kiddle, Evan Newman, Andrew Anderson, Sai Raja, Caleb R. Matthews, Christopher Perdriau, Margaret Burnett, Alan Fern
After-Action Review for AI (AAR/AI). ACM Trans. Interact. Intell. Syst. 11 (3-4) (2021)
Zhengxian Lin, Kin-Ho Lam, Alan Fern
Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions. ICLR (2021)
Rupika Dikkala, Roli Khanna, Caleb Matthews, Jonathan Dodge, Sai Raja, Catherine Hu, Jed Irvine, Zeyad Shureih, Kin-Ho Lam, Andrew Anderson, Minsuk Kahng, Alan Fern, Margaret Burnett
Doing Remote Controlled Studies with Humans: Tales from the COVID Trenches. CHASE@ICSE (2021)
Jonah Siekmann, Kevin Green, John Warila, Alan Fern, Jonathan W. Hurst
Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning. CoRR (2021)
Kin-Ho Lam, Zhengxian Lin, Jed Irvine, Jonathan Dodge, Zeyad T. Shureih, Roli Khanna, Minsuk Kahng, Alan Fern
Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations. CoRR (2021)
Anurag Koul, Varun V. Kumar, Alan Fern, Somdeb Majumdar
Dream and Search to Control: Latent Space Planning for Continuous Control. CoRR (2020)
Jonah Siekmann, Srikar Valluri, Jeremy Dao, Lorenzo Bermillo, Helei Duan, Alan Fern, Jonathan W. Hurst
Learning Memory-Based Control for Human-Scale Bipedal Locomotion. CoRR (2020)
Kevin Green, Yesh Godse, Jeremy Dao, Ross L. Hatton, Alan Fern, Jonathan W. Hurst
Learning Spring Mass Locomotion: Guiding Policies with a Reduced-Order Model. CoRR (2020)
Mohamad H. Danesh, Anurag Koul, Alan Fern, Saeed Khorram
Understanding Finite-State Representations of Recurrent Policy Networks. CoRR (2020)
Jonah Siekmann, Yesh Godse, Alan Fern, Jonathan W. Hurst
Sim-to-Real Learning of All Common Bipedal Gaits via Periodic Reward Composition. CoRR (2020)
Zhengxian Lin, Kim-Ho Lam, Alan Fern
Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions. CoRR (2020)
Aayam Shrestha, Stefan Lee, Prasad Tadepalli, Alan Fern
DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs. CoRR (2020)
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Alan Fern
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework. AAAI (2020)
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Alan Fern
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework. CoRR (2020)
Martin Erwig, Prashant Kumar, Alan Fern
Explanations for Dynamic Programming. PADL (2020)
Shubhomoy Das, Weng-Keen Wong, Thomas G. Dietterich, Alan Fern, Andrew Emmott
Discovering Anomalies by Incorporating Feedback from an Expert. ACM Trans. Knowl. Discov. Data 14 (4) (2020)
Murugeswari Issakkimuthu, Alan Fern, Prasad Tadepalli
The Choice Function Framework for Online Policy Improvement. AAAI (2020)
Hung Nguyen, Jay Patravali, Fuxin Li, Alan Fern
Learning Intuitive Physics by Explaining Surprise. CVPR Workshops (2020)
Theresa Mai, Roli Khanna, Jonathan Dodge, Jed Irvine, Kin-Ho Lam, Zhengxian Lin, Nicholas Kiddle, Evan Newman, Sai Raja, Caleb Matthews, Christopher Perdriau, Margaret Burnett, Alan Fern
Keeping it "organized and logical": after-action review for AI (AAR/AI). IUI (2020)
Andrew Anderson, Jonathan Dodge, Amrita Sadarangani, Zoe Juozapaitis, Evan Newman, Jed Irvine, Souti Chattopadhyay, Matthew L. Olson, Alan Fern, Margaret Burnett
Mental Models of Mere Mortals with Explanations of Reinforcement Learning. ACM Trans. Interact. Intell. Syst. 10 (2) (2020)
Kevin Smith, Eliza Kosoy, Alison Gopnik, Deepak Pathak, Alan Fern, Josh Tenenbaum, Tomer D. Ullman
The Origins of Common Sense in Humans and Machines. CogSci (2020)
Vivswan Shitole, Fuxin Li, Minsuk Kahng, Prasad Tadepalli, Alan Fern
Structured Attention Graphs for Understanding Deep Image Classifications. CoRR (2020)
Helei Duan, Jeremy Dao, Kevin Green, Taylor Apgar, Alan Fern, Jonathan W. Hurst
Learning Task Space Actions for Bipedal Locomotion. CoRR (2020)
Jonah Siekmann, Srikar Valluri, Jeremy Dao, Lorenzo Bermillo, Helei Duan, Alan Fern, Jonathan W. Hurst
Learning Memory-Based Control for Human-Scale Bipedal Locomotion. Robotics: Science and Systems (2020)
Andrew Anderson, Jonathan Dodge, Amrita Sadarangani, Zoe Juozapaitis, Evan Newman, Jed Irvine, Souti Chattopadhyay, Alan Fern, Margaret Burnett
Explaining Reinforcement Learning to Mere Mortals: An Empirical Study. CoRR (2019)
Jose Picado, Arash Termehchy, Alan Fern, Parisa Ataei
Logical scalability and efficiency of relational learning algorithms. VLDB J. 28 (2) (2019)
Andrew Anderson, Jonathan Dodge, Amrita Sadarangani, Zoe Juozapaitis, Evan Newman, Jed Irvine, Souti Chattopadhyay, Alan Fern, Margaret Burnett
Explaining Reinforcement Learning to Mere Mortals: An Empirical Study. IJCAI (2019)
Mandana Hamidi-Haines, Zhongang Qi, Alan Fern, Fuxin Li, Prasad Tadepalli
Interactive Naming for Explaining Deep Neural Networks: A Formative Study. IUI Workshops (2019)
Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Weng-Keen Wong
Sequential Feature Explanations for Anomaly Detection. ACM Trans. Knowl. Discov. Data 13 (1) (2019)
Carla P. Gomes, Thomas G. Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Z. Fern, Daniel Fink, Douglas H. Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John M. Gregoire, John E. Hopcroft, Steve Kelling, J. Zico Kolter, Warren B. Powell, Nicole D. Sintov, John S. Selker, Bart Selman, Daniel Sheldon, David B. Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, Mary Lou Zeeman
Computational sustainability: computing for a better world and a sustainable future. Commun. ACM 62 (9) (2019)
Murugeswari Issakkimuthu, Alan Fern, Prasad Tadepalli
The Choice Function Framework for Online Policy Improvement. CoRR (2019)
Anurag Koul, Alan Fern, Sam Greydanus
Learning Finite State Representations of Recurrent Policy Networks. ICLR (Poster) (2019)
Rey Pocius, Lawrence Neal, Alan Fern
Strategic Tasks for Explainable Reinforcement Learning. AAAI (2019)
Si Liu, Risheek Garrepalli, Alan Fern, Thomas G. Dietterich
Can We Achieve Open Category Detection with Guarantees? AAAI Workshops (2018)
Samuel Greydanus, Anurag Koul, Jonathan Dodge, Alan Fern
Visualizing and Understanding Atari Agents. ICML (2018)
Si Liu, Risheek Garrepalli, Thomas G. Dietterich, Alan Fern, Dan Hendrycks
Open Category Detection with PAC Guarantees. ICML (2018)
Murugeswari Issakkimuthu, Alan Fern, Prasad Tadepalli
Training Deep Reactive Policies for Probabilistic Planning Problems. ICAPS (2018)
Taylor Apgar, Patrick Clary, Kevin Green, Alan Fern, Jonathan W. Hurst
Fast Online Trajectory Optimization for the Bipedal Robot Cassie. Robotics: Science and Systems (2018)
Durga Harish Dayapule, Aswin Raghavan, Prasad Tadepalli, Alan Fern
Emergency Response Optimization using Online Hybrid Planning. IJCAI (2018)
Md Amran Siddiqui, Alan Fern, Ryan Wright, Alec Theriault, David W. Archer, William Maxwell
Detecting Cyberattack Entities from Audit Data via Multi-View Anomaly Detection with Feedback. AAAI Workshops (2018)
Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Ryan Wright, Alec Theriault, David W. Archer
Feedback-Guided Anomaly Discovery via Online Optimization. KDD (2018)
Patrick Clary, Pedro Morais, Alan Fern, Jonathan W. Hurst
Monte-Carlo Planning for Agile Legged Locomotion. ICAPS (2018)
Si Liu, Risheek Garrepalli, Thomas G. Dietterich, Alan Fern, Dan Hendrycks
Open Category Detection with PAC Guarantees. CoRR (2018)
Jose Picado, Sudhanshu Pathak, Arash Termehchy, Alan Fern
AutoMode: Relational Learning with Less Black Magic. ICDE (2018)
Anurag Koul, Sam Greydanus, Alan Fern
Learning Finite State Representations of Recurrent Policy Networks. CoRR (2018)
Mandana Hamidi-Haines, Zhongang Qi, Alan Fern, Fuxin Li, Prasad Tadepalli
Interactive Naming for Explaining Deep Neural Networks: A Formative Study. CoRR (2018)
Jose Picado, Sudhanshu Pathak, Arash Termehchy, Alan Fern
AutoMode: Relational Learning With Less Black Magic. CoRR (2017)
Jose Picado, Arash Termehchy, Alan Fern, Parisa Ataei
Schema Independent Relational Learning. SIGMOD Conference (2017)
Jervis Pinto, Alan Fern
Learning Partial Policies to Speedup MDP Tree Search via Reduction to I.I.D. Learning. J. Mach. Learn. Res. 18 (2017)
Behrooz Mahasseni, Sinisa Todorovic, Alan Fern
Budget-Aware Deep Semantic Video Segmentation. CVPR (2017)
Shubhomoy Das, Weng-Keen Wong, Alan Fern, Thomas G. Dietterich, Md Amran Siddiqui
Incorporating Feedback into Tree-based Anomaly Detection. CoRR (2017)
Alan Fern, Robby Goetschalckx, Mandana Hamidi-Haines, Prasad Tadepalli
Adaptive Submodularity with Varying Query Sets: An Application to Active Multi-label Learning. ALT (2017)
Jose Picado, Arash Termehchy, Alan Fern, Sudhanshu Pathak
Towards Automatically Setting Language Bias in Relational Learning. DEEM@SIGMOD (2017)
Sam Greydanus, Anurag Koul, Jonathan Dodge, Alan Fern
Visualizing and Understanding Atari Agents. CoRR (2017)

Alan Fern.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Alan Fern