| 2024 | ICLR | Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform. | Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu, Santiago Ontan |
| 2024 | ICLR | Functional Interpolation for Relative Positions improves Long Context Transformers. | Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontan, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli |
| 2024 | NAACL | MEMORY-VQ: Compression for Tractable Internet-Scale Memory. | Yury Zemlyanskiy, Michiel de Jong, Luke Vilnis, Santiago Ontan, William W. Cohen, Sumit Sanghai, Joshua Ainslie |
| 2023 | EMNLP | CoLT5: Faster Long-Range Transformers with Conditional Computation. | Joshua Ainslie, Tao Lei, Michiel de Jong, Santiago Ontan, Siddhartha Brahma, Yury Zemlyanskiy, David C. Uthus, Mandy Guo, James Lee-Thorp, Yi Tay, Yun-Hsuan Sung, Sumit Sanghai |
| 2023 | EMNLP | mLongT5: A Multilingual and Efficient Text-To-Text Transformer for Longer Sequences. | David C. Uthus, Santiago Ontan, Joshua Ainslie, Mandy Guo |
| 2023 | IUI | Improving Fairness in Adaptive Social Exergames via Shapley Bandits. | Robert C. Gray, Jennifer Villareale, Thomas Boyd Fox, Diane H. Dallal, Santiago Ontan, Danielle Arigo, Shahin Jabbari, Jichen Zhu |
| 2022 | ACL | Making Transformers Solve Compositional Tasks. | Santiago Ontan, Joshua Ainslie, Zachary Fisher, Vaclav Cvicek |
| 2022 | FlAIRS | A Closer Look at Invalid Action Masking in Policy Gradient Algorithms. | Shengyi Huang, Santiago Ontan |
| 2022 | NAACL | LongT5: Efficient Text-To-Text Transformer for Long Sequences. | Mandy Guo, Joshua Ainslie, David C. Uthus, Santiago Ontan, Jianmo Ni, Yun-Hsuan Sung, Yinfei Yang |
| 2022 | NAACL | FNet: Mixing Tokens with Fourier Transforms. | James Lee-Thorp, Joshua Ainslie, Ilya Eckstein, Santiago Ontan |
| 2021 | ACL | Improving Compositional Generalization in Classification Tasks via Structure Annotations. | Juyong Kim, Pradeep Ravikumar, Joshua Ainslie, Santiago Ontan |
| 2021 | FlAIRS | ADHD Prediction via Time Series Ensemble fed Driving Simulator Data. | David Grethlein, Aleksanteri Sladek, Santiago Ontan |
| 2021 | IUI | The Personalization Paradox: the Conflict between Accurate User Models and Personalized Adaptive Systems. | Santiago Ontan, Jichen Zhu |
| 2021 | KDD | Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries. | Sukhdeep S. Sodhi, Ellie Ka In Chio, Ambarish Jash, Santiago Ontan, Ajit Apte, Ankit Kumar, Ayooluwakunmi Jeje, Dima Kuzmin, Harry Fung, Heng-Tze Cheng, Jon Effrat, Tarush Bali, Nitin Jindal, Pei Cao, Sarvjeet Singh, Senqiang Zhou, Tameen Khan, Amol Wankhede, Moustafa Alzantot, Allen Wu, Tushar Chandra |
| 2020 | EMNLP | ETC: Encoding Long and Structured Inputs in Transformers. | Joshua Ainslie, Santiago Ontan, Chris Alberti, Vaclav Cvicek, Zachary Fisher, Philip Pham, Anirudh Ravula, Sumit Sanghai, Qifan Wang, Li Yang |
| 2020 | FDG | Player Modeling via Multi-Armed Bandits. | Robert C. Gray, Jichen Zhu, Danielle Arigo, Evan M. Forman, Santiago Ontan |
| 2020 | FDG | Player-Centered AI for Automatic Game Personalization: Open Problems. | Jichen Zhu, Santiago Ontan |
| 2020 | FlAIRS | Spatially Aligned Clustering of Driving Simulator Data. | David Grethlein, Santiago Ontan |
| 2019 | AAAI | Extracting CCGs for Plan Recognition in RTS Games. | Pavan Kantharaju, Santiago Ontan, Christopher W. Geib |
| 2019 | AAAI | Extracting Policies from Replays to Improve MCTS in Real Time Strategy Games. | Zuozhi Yang, Santiago Ontan |
| 2019 | FDG | Programming in game space: how to represent parallel programming concepts in an educational game. | Jichen Zhu, Katelyn Alderfer, Anushay Furqan, Jessica Nebolsky, Bruce W. Char, Brian K. Smith, Jennifer Villareale, Santiago Ontan |
| 2018 | FlAIRS | Learning Behavior from Limited Demonstrations in the Context of Games. | Brandon Packard, Santiago Ontan |
| 2018 | FlAIRS | Machine Learning from Observation to Detect Abnormal Driving Behavior in Humans. | Josiah Wong, Lauren Hastings, Kevin Negy, Avelino J. Gonzalez, Santiago Ontan, Yi-Ching Lee |
| 2018 | SIGCSE | Lessons Learned From an Interactive Educational Computer Game About Concurrent Programming: (Abstract Only). | Katelyn Bright Alderfer, Brian K. Smith, Santiago Ontan, Bruce W. Char, Jessica Nebolsky, Jichen Zhu, Anushay Furqan, Evan Freed, Justin H. Patterson, Josep Valls-Vargas |
| 2018 | SGAI | Autonomous Swarm Agents Using Case-Based Reasoning. | Daniel O'Connor, Stelios Kapetanakis, Georgios Samakovitis, Michael W. Floyd, Santiago Ontan, Miltos Petridis |
| 2017 | AAAI | Bridging the Gap Between Computational Narrative and Natural Language Processing. | Santiago Ontan, Josep Valls-Vargas, Jichen Zhu |
| 2017 | AAAI | Towards Automatically Extracting Story Graphs from Natural Language Stories. | Josep Valls-Vargas, Jichen Zhu, Santiago Ontan |
| 2017 | CHI | Designing Visual Metaphors for an Educational Game for Parallel Programming. | Santiago Ontan, Jichen Zhu, Brian K. Smith, Bruce W. Char, Evan Freed, Anushay Furqan, Michael Howard, Anna Nguyen, Justin H. Patterson, Josep Valls-Vargas |
| 2017 | FDG | Understanding mario: an evaluation of design metrics for platformers. | Adam Summerville, Julian R. H. Mario, Sam Snodgrass, Santiago Ontan, Levi H. S. Lelis |
| 2017 | FDG | Graph grammar-based controllable generation of puzzles for a learning game about parallel programming. | Josep Valls-Vargas, Jichen Zhu, Santiago Ontan |
| 2017 | FDG | From computational narrative analysis to generation: a preliminary review. | Josep Valls-Vargas, Jichen Zhu, Santiago Ontan |
| 2017 | FlAIRS | Feature Selection for Learning from Demonstration in Minecraft. | Brandon Packard, Santiago Ontan |
| 2017 | IJCAI | Player Movement Models for Video Game Level Generation. | Sam Snodgrass, Santiago Ontan |
| 2016 | ICCBR | Refinement-Based Similarity Measures for Directed Labeled Graphs. | Santiago Ontan, Ali Shokoufandeh |
| 2016 | ICPR | Efficient approximation of labeling problems with applications to immune repertoire analysis. | Yusuf Osmanlioglu, Santiago Ontan, Uri Hershberg, Ali Shokoufandeh |
| 2016 | IJCAI | Controllable Procedural Content Generation via Constrained Multi-Dimensional Markov Chain Sampling. | Sam Snodgrass, Santiago Ontan |
| 2015 | FDG | Learning Behavior form Demonstration in Minecraft via Symbolic Similarity Measures. | Brandon Packard, Santiago Ontan |
| 2015 | ICCBR | Argument-Based Case Revision in CBR for Story Generation. | Santiago Ontan, Enric Plaza, Jichen Zhu |
| 2015 | IJCAI | Adversarial Hierarchical-Task Network Planning for Complex Real-Time Games. | Santiago Ontan, Michael Buro |
| 2015 | IJCAI | Narrative Hermeneutic Circle: Improving Character Role Identification from Natural Language Text via Feedback Loops. | Josep Valls-Vargas, Jichen Zhu, Santiago Ontan |
| 2014 | FDG | Experiments in map generation using Markov chains. | Sam Snodgrass, Santiago Ontan |
| 2014 | ICCBR | Case-Based Prediction of Teen Driver Behavior and Skill. | Santiago Ontan, Yi-Ching Lee, Sam Snodgrass, Dana Bonfiglio, Flaura K. Winston, Catherine McDonald, Avelino J. Gonzalez |
| 2014 | ICCBR | Least Common Subsumer Trees for Plan Retrieval. | Antonio A. Snchez-Ruiz, Santiago Ontan |
| 2013 | FlAIRS | Special Track on Case-Based Reasoning. | Michael W. Floyd, Santiago Ontan |
| 2013 | FlAIRS | A Comparison of Case Acquisition Strategies for Learning from Observations of State-Based Experts. | Santiago Ontan, Michael W. Floyd |
| 2013 | ICCBR | Refinement-Based Similarity Measure over DL Conjunctive Queries. | Antonio A. Snchez-Ruiz-Granados, Santiago Ontan, Pedro A. Gonzlez-Calero, Enric Plaza |
| 2012 | CP | Feature Term Subsumption Using Constraint Programming with Basic Variable Symmetry. | Santiago Ontan, Pedro Meseguer |
| 2012 | FlAIRS | Case Acquisition Strategies for Case-Based Reasoning in Real-Time Strategy Games. | Santiago Ontan |
| 2012 | FlAIRS | Toward a Knowledge Transfer Model of Case-Based Inference. | Santiago Ontan, Enric Plaza |
| 2012 | ICCBR | A Case-Based Approach to Mutual Adaptation of Taxonomic Ontologies. | Sergio Manzano, Santiago Ontan, Enric Plaza |
| 2012 | ICCBR | GENA: A Case-Based Approach to the Generation of Audio-Visual Narratives. | Santiago Ontan, Josep Llus Arcos, Josep Puyol-Gruart, Eusebio Carasusn, Daniel Farr Giribet, David de la Cruz, Ismel Brito, Carlos Lopez del Toro |
| 2012 | ICCBR | On Knowledge Transfer in Case-Based Inference. | Santiago Ontan, Enric Plaza |
| 2012 | ICCBR | Natural Language Generation through Case-Based Text Modification. | Josep Valls-Vargas, Santiago Ontan |
| 2011 | FDG | Representing game characters' inner worlds through narrative perspectives. | Jichen Zhu, Santiago Ontan, Brad Lewter |
| 2011 | FlAIRS | Learning Opponent Strategies through First Order Induction. | Katie Long Genter, Santiago Ontan, Ashwin Ram |
| 2011 | HCI | Why Can't a Virtual Character Be More Like a Human: A Mixed-Initiative Approach to Believable Agents. | Jichen Zhu, J. Michael Moshell, Santiago Ontan, Elena Erbiceanu, Charles E. Hughes |
| 2011 | ICCBR | A Case-Based Approach to Open-Ended Collective Agreement with Rational Ignorance. | Sergio Manzano, Santiago Ontan, Enric Plaza |
| 2011 | ICCBR | Amalgam-Based Reuse for Multiagent Case-Based Reasoning. | Sergio Manzano, Santiago Ontan, Enric Plaza |
| 2011 | ICCBR | Measuring Similarity in Description Logics Using Refinement Operators. | Antonio A. Snchez-Ruiz-Granados, Santiago Ontan, Pedro A. Gonzlez-Calero, Enric Plaza |
| 2011 | IJCAI | On the Role of Domain Knowledge in Analogy-Based Story Generation. | Santiago Ontan, Jichen Zhu |
| 2011 | ILP | Efficient Operations in Feature Terms Using Constraint Programming. | Santiago Ontan, Pedro Meseguer |
| 2010 | DIS | Concept Convergence in Empirical Domains. | Santiago Ontan, Enric Plaza |
| 2010 | ECAI | Towards Argumentation-based Multiagent Induction. | Santiago Ontan, Enric Plaza |
| 2010 | ICCBR | Amalgams: A Formal Approach for Combining Multiple Case Solutions. | Santiago Ontan, Enric Plaza |
| 2010 | ICIDS | Textual vs. Graphical Interaction in an Interactive Fiction Game. | Manish Mehta, Andrea Corradini, Santiago Ontan, Peter Juel Henrichsen |
| 2010 | ICML | Multiagent Inductive Learning: an Argumentation-based Approach. | Santiago Ontan, Enric Plaza |
| 2009 | FlAIRS | Special Track on Case-Based Reasoning. | Ian Watson, Santiago Ontan |
| 2009 | IAAI | An Ensemble Learning and Problem Solving Architecture for Airspace Management. | Xiaoqin Zhang, Sung Wook Yoon, Phillip DiBona, Darren Scott Appling, Li Ding, Janardhan Rao Doppa, Derek T. Green, Jinhong K. Guo, Ugur Kuter, Geoffrey Levine, Reid MacTavish, Daniel McFarlane, James Michaelis, Hala Mostafa, Santiago Ontan, Charles Parker, Jainarayan Radhakrishnan, Antons Rebguns, Bhavesh Shrestha, Zhexuan Song, Ethan Trewhitt, Huzaifa Zafar, Chongjie Zhang, Daniel D. Corkill, Gerald DeJong, Thomas G. Dietterich, Subbarao Kambhampati, Victor R. Lesser, Deborah L. McGuinness, Ashwin Ram, Diana F. Spears, Prasad Tadepalli, Elizabeth T. Whitaker, Weng-Keen Wong, James A. Hendler, Martin O. Hofmann, Kenneth R. Whitebread |
| 2009 | ICCBR | Using Meta-reasoning to Improve the Performance of Case-Based Planning. | Manish Mehta, Santiago Ontan, Ashwin Ram |
| 2009 | ICCBR | On Similarity Measures Based on a Refinement Lattice. | Santiago Ontan, Enric Plaza |
| 2009 | ICIDS | Evaluation of a Drama Manager Agent for an Interactive Story-Based Game. | Andrea Corradini, Manish Mehta, Santiago Ontan |
| 2009 | IJCAI | Goal-Driven Learning in the GILA Integrated Intelligence Architecture. | Jainarayan Radhakrishnan, Santiago Ontan, Ashwin Ram |
| 2008 | AAAI | On-Line Case-Based Plan Adaptation for Real-Time Strategy Games. | Neha Sugandh, Santiago Ontan, Ashwin Ram |
| 2008 | ICIDS | Developing a Drama Management Architecture for Interactive Fiction Games. | Santiago Ontan, Abhishek Jain, Manish Mehta, Ashwin Ram |
| 2007 | FlAIRS | An Argumentation Based Approach to Multi-Agent Learning. | Santiago Ontan, Enric Plaza |
| 2007 | FlAIRS | Artificial Intelligence for Adaptive Computer Games. | Ashwin Ram, Santiago Ontan, Manish Mehta |
| 2007 | FlAIRS | Towards Player Preference Modeling for Drama Management in Interactive Stories. | Manu Sharma, Santiago Ontan, Christina R. Strong, Manish Mehta, Ashwin Ram |
| 2007 | ICCBR | Case-Based Planning and Execution for Real-Time Strategy Games. | Santiago Ontan, Kinshuk Mishra, Neha Sugandh, Ashwin Ram |
| 2007 | IJCAI | Case-based Learning from Proactive Communication. | Santiago Ontan, Enric Plaza |
| 2005 | ICML | Recycling data for multi-agent learning. | Santiago Ontan, Enric Plaza |
| 2003 | ICCBR | Collaborative Case Retention Strategies for CBR Agents. | Santiago Ontan, Enric Plaza |
| 2003 | ICML | Justification-based Multiagent Learning. | Santiago Ontan, Enric Plaza |
| 2002 | AAMAS | Cooperative Multiagent Learning. | Enric Plaza, Santiago Ontan |
| 2001 | ICCBR | Ensemble Case-Based Reasoning: Collaboration Policies for Multiagent Cooperative CBR. | Enric Plaza, Santiago Ontan |