Santiago Ontañón

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 135

Top Venues

Publications

Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontañón, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli
Functional Interpolation for Relative Positions improves Long Context Transformers. ICLR (2024)
Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu, Santiago Ontañón
Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform. ICLR (2024)
Robert C. Gray, Jichen Zhu, Santiago Ontañón
Distribution Fairness in Multiplayer AI Using Shapley Constraints. AIIDE (2023)
Joshua Ainslie, Tao Lei, Michiel de Jong, Santiago Ontañón, Siddhartha Brahma, Yury Zemlyanskiy, David C. Uthus, Mandy Guo, James Lee-Thorp, Yi Tay, Yun-Hsuan Sung, Sumit Sanghai
CoLT5: Faster Long-Range Transformers with Conditional Computation. EMNLP (2023)
Robert C. Gray, Jennifer Villareale, Thomas B. Fox, Diane H. Dallal, Santiago Ontañón, Danielle Arigo, Shahin Jabbari, Jichen Zhu
Improving Fairness in Adaptive Social Exergames via Shapley Bandits. CoRR (2023)
Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu, Santiago Ontañón
Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform. CoRR (2023)
David C. Uthus, Santiago Ontañón, Joshua Ainslie, Mandy Guo
mLongT5: A Multilingual and Efficient Text-To-Text Transformer for Longer Sequences. EMNLP (Findings) (2023)
Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontañón, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli
Functional Interpolation for Relative Positions Improves Long Context Transformers. CoRR (2023)
David C. Uthus, Santiago Ontañón, Joshua Ainslie, Mandy Guo
mLongT5: A Multilingual and Efficient Text-To-Text Transformer for Longer Sequences. CoRR (2023)
Robert C. Gray, Jichen Zhu, Santiago Ontañón
Beyond UCT: MAB Exploration Improvements for Monte Carlo Tree Search. CoG (2023)
Naveen Ram, Dima Kuzmin, Ellie Ka In Chio, Moustafa Farid Alzantot, Santiago Ontañón, Ambarish Jash, Judith Yue Li
Multi-Task End-to-End Training Improves Conversational Recommendation. CoRR (2023)
Robert C. Gray, Jennifer Villareale, Thomas Boyd Fox, Diane H. Dallal, Santiago Ontañón, Danielle Arigo, Shahin Jabbari, Jichen Zhu
Improving Fairness in Adaptive Social Exergames via Shapley Bandits. IUI (2023)
Joshua Ainslie, Tao Lei, Michiel de Jong, Santiago Ontañón, Siddhartha Brahma, Yury Zemlyanskiy, David C. Uthus, Mandy Guo, James Lee-Thorp, Yi Tay, Yun-Hsuan Sung, Sumit Sanghai
CoLT5: Faster Long-Range Transformers with Conditional Computation. CoRR (2023)
Yury Zemlyanskiy, Michiel de Jong, Luke Vilnis, Santiago Ontañón, William W. Cohen, Sumit Sanghai, Joshua Ainslie
MEMORY-VQ: Compression for Tractable Internet-Scale Memory. CoRR (2023)
Avelino J. Gonzalez, Josiah Wong, Emily M. Thomas, Alec Kerrigan, Lauren Hastings, Andres Posadas, Kevin Negy, Annie S. Wu, Santiago Ontañón, Yi-Ching Lee, Flaura K. Winston
Detection of driver health condition by monitoring driving behavior through machine learning from observation. Expert Syst. Appl. 199 (2022)
Shengyi Huang, Anssi Kanervisto, Antonin Raffin, Weixun Wang, Santiago Ontañón, Rousslan Fernand Julien Dossa
A2C is a special case of PPO. CoRR (2022)
Shengyi Huang, Santiago Ontañón
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms. FLAIRS (2022)
James Lee-Thorp, Joshua Ainslie, Ilya Eckstein, Santiago Ontañón
FNet: Mixing Tokens with Fourier Transforms. NAACL-HLT (2022)
Zuozhi Yang, Santiago Ontañón
An Experimental Survey on Methods for Integrating Scripts Into Adversarial Search for RTS Games. IEEE Trans. Games 14 (2) (2022)
Mandy Guo, Joshua Ainslie, David C. Uthus, Santiago Ontañón, Jianmo Ni, Yun-Hsuan Sung, Yinfei Yang
LongT5: Efficient Text-To-Text Transformer for Long Sequences. NAACL-HLT (Findings) (2022)
Santiago Ontañón, Joshua Ainslie, Zachary Fisher, Vaclav Cvicek
Making Transformers Solve Compositional Tasks. ACL (1) (2022)
Santiago Ontañón, Joshua Ainslie, Vaclav Cvicek, Zachary Fisher
LogicInference: A New Dataset for Teaching Logical Inference to seq2seq Models. CoRR (2022)
Pavan Kantharaju, Katelyn Alderfer, Jichen Zhu, Bruce W. Char, Brian K. Smith, Santiago Ontañón
Modeling Player Knowledge in a Parallel Programming Educational Game. IEEE Trans. Games 14 (1) (2022)
Robert C. Gray, Jichen Zhu, Santiago Ontañón
Regression Oracles and Exploration Strategies for Short-Horizon Multi-Armed Bandits. CoRR (2021)
Jichen Zhu, Diane H. Dallal, Robert C. Gray, Jennifer Villareale, Santiago Ontañón, Evan M. Forman, Danielle Arigo
Personalization Paradox in Behavior Change Apps: Lessons from a Social Comparison-Based Personalized App for Physical Activity. CoRR (2021)
Zuozhi Yang, Santiago Ontañón
Contextual Combinatorial Bandits in Real-Time Strategy Games. CoG (2021)
David Grethlein, Aleksanteri Sladek, Santiago Ontañón
Identifying On-road Scenarios Predictive of ADHD usingDriving Simulator Time Series Data. CoRR (2021)
Juyong Kim, Pradeep Ravikumar, Joshua Ainslie, Santiago Ontañón
Improving Compositional Generalization in Classification Tasks via Structure Annotations. CoRR (2021)
Robert C. Gray, Jichen Zhu, Santiago Ontañón
Multiplayer Modeling via Multi-Armed Bandits. CoG (2021)
Santiago Ontañón, Jichen Zhu
The Personalization Paradox: the Conflict between Accurate User Models and Personalized Adaptive Systems. CoRR (2021)
Jichen Zhu, Diane H. Dallal, Robert C. Gray, Jennifer Villareale, Santiago Ontañón, Evan M. Forman, Danielle Arigo
Personalization Paradox in Behavior Change Apps: Lessons from a Social Comparison-Based Personalized App for Physical Activity. Proc. ACM Hum. Comput. Interact. 5 (CSCW1) (2021)
Juyong Kim, Pradeep Ravikumar, Joshua Ainslie, Santiago Ontañón
Improving Compositional Generalization in Classification Tasks via Structure Annotations. ACL/IJCNLP (2) (2021)
Robert C. Gray, Jichen Zhu, Danielle Arigo, Evan M. Forman, Santiago Ontañón
Player Modeling via Multi-Armed Bandits. CoRR (2021)
Santiago Ontañón, Jichen Zhu
The Personalization Paradox: the Conflict between Accurate User Models and Personalized Adaptive Systems. IUI Companion (2021)
Shengyi Huang, Santiago Ontañón, Chris Bamford, Lukasz Grela
Gym-µRTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning. CoG (2021)
Santiago Ontañón, Joshua Ainslie, Vaclav Cvicek, Zachary Fisher
Making Transformers Solve Compositional Tasks. CoRR (2021)
James Lee-Thorp, Joshua Ainslie, Ilya Eckstein, Santiago Ontañón
FNet: Mixing Tokens with Fourier Transforms. CoRR (2021)
Shengyi Huang, Santiago Ontañón, Chris Bamford, Lukasz Grela
Gym-μRTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning. CoRR (2021)
Mandy Guo, Joshua Ainslie, David C. Uthus, Santiago Ontañón, Jianmo Ni, Yun-Hsuan Sung, Yinfei Yang
LongT5: Efficient Text-To-Text Transformer for Long Sequences. CoRR (2021)
Luana Ruiz, Joshua Ainslie, Santiago Ontañón
Iterative Decoding for Compositional Generalization in Transformers. CoRR (2021)
Rousslan Fernand Julien Dossa, Shengyi Huang, Santiago Ontañón, Takashi Matsubara
An Empirical Investigation of Early Stopping Optimizations in Proximal Policy Optimization. IEEE Access 9 (2021)
Sukhdeep S. Sodhi, Ellie Ka In Chio, Ambarish Jash, Santiago Ontañón, 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
Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries. KDD (2021)
Sukhdeep S. Sodhi, Ellie Ka In Chio, Ambarish Jash, Santiago Ontañón, 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
Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries. CoRR (2021)
David Grethlein, Aleksanteri Sladek, Santiago Ontañón
ADHD Prediction via Time Series Ensemble fed Driving Simulator Data. FLAIRS Conference (2021)
Jichen Zhu, Santiago Ontañón
Player-Centered AI for Automatic Game Personalization: Open Problems. CoRR (2021)
Zuozhi Yang, Santiago Ontañón
Are Strong Policies Also Good Playout Policies? Playout Policy Optimization for RTS Games. AIIDE (2020)
Santiago Ontañón
An Overview of Distance and Similarity Functions for Structured Data. CoRR (2020)
Shengyi Huang, Santiago Ontañón
Action Guidance: Getting the Best of Sparse Rewards and Shaped Rewards for Real-time Strategy Games. CoRR (2020)
Joshua Ainslie, Santiago Ontañón, Chris Alberti, Philip Pham, Anirudh Ravula, Sumit Sanghai
ETC: Encoding Long and Structured Data in Transformers. CoRR (2020)
Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed
Big Bird: Transformers for Longer Sequences. NeurIPS (2020)
Jichen Zhu, Katelyn Alderfer, Brian K. Smith, Bruce Char, Santiago Ontañón
Understanding Learners' Problem-Solving Strategies in Concurrent and Parallel Programming: A Game-Based Approach. CoRR (2020)
Shengyi Huang, Santiago Ontañón
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms. CoRR (2020)
David Grethlein, Santiago Ontañón
Spatially Aligned Clustering of Driving Simulator Data. FLAIRS Conference (2020)
Robert C. Gray, Jichen Zhu, Santiago Ontañón
Regression Oracles and Exploration Strategies for Short-Horizon Multi-Armed Bandits. CoG (2020)
Joshua Ainslie, Santiago Ontañón, Chris Alberti, Vaclav Cvicek, Zachary Fisher, Philip Pham, Anirudh Ravula, Sumit Sanghai, Qifan Wang, Li Yang
ETC: Encoding Long and Structured Inputs in Transformers. EMNLP (1) (2020)
Jichen Zhu, Santiago Ontañón
Player-Centered AI for Automatic Game Personalization: Open Problems. FDG (2020)
Santiago Ontañón
An overview of distance and similarity functions for structured data. Artif. Intell. Rev. 53 (7) (2020)
Pavan Kantharaju, Santiago Ontañón
Discovering Meaningful Labelings for RTS Game Replays via Replay Embeddings. CoG (2020)
Manzil Zaheer, Guru Guruganesh, Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed
Big Bird: Transformers for Longer Sequences. CoRR (2020)
Zuozhi Yang, Santiago Ontañón
Bandit-Based Policy Optimization for Monte Carlo Tree Search in RTS Games. AIIDE Workshops (2020)
Robert C. Gray, Jichen Zhu, Danielle Arigo, Evan M. Forman, Santiago Ontañón
Player Modeling via Multi-Armed Bandits. FDG (2020)
Zuozhi Yang, Santiago Ontañón
Extracting Policies from Replays to Improve MCTS in Real Time Strategy Games. KEG@AAAI (2019)
Chelsea M. Myers, David Grethlein, Anushay Furqan, Santiago Ontañón, Jichen Zhu
Modeling Behavior Patterns with an Unfamiliar Voice User Interface. UMAP (2019)
Pavan Kantharaju, Katelyn Bright Alderfer, Jichen Zhu, Bruce Char, Brian K. Smith, Santiago Ontañón
Tracing Player Knowledge in a Parallel Programming Educational Game. CoRR (2019)
Rook Liu, Claire Christopher, Chris Martens, Santiago Ontañón, Piotr Mirowski, Kory W. Mathewson, Thomas Winters, Shaun Farrugia
Playable Experiences at the 15th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. AIIDE (2019)
Jichen Zhu, Santiago Ontañón
Experience Management in Multi-player Games. CoG (2019)
Pavan Kantharaju, Santiago Ontañón, Christopher W. Geib
Scaling up CCG-Based Plan Recognition via Monte-Carlo Tree Search. CoG (2019)
Zuozhi Yang, Santiago Ontañón
Guiding Monte Carlo Tree Search by Scripts in Real-Time Strategy Games. AIIDE (2019)
Jichen Zhu, Santiago Ontañón
Experience Management in Multi-player Games. CoRR (2019)
Pavan Kantharaju, Santiago Ontañón, Christopher W. Geib
Extracting CCGs for Plan Recognition in RTS Games. KEG@AAAI (2019)
Shengyi Huang, Santiago Ontañón
Comparing Observation and Action Representations for Deep Reinforcement Learning in MicroRTS. CoRR (2019)
Jichen Zhu, Katelyn Alderfer, Anushay Furqan, Jessica Nebolsky, Bruce Char, Brian K. Smith, Jennifer Villareale, Santiago Ontañón
Programming in game space: how to represent parallel programming concepts in an educational game. FDG (2019)
Katelyn Bright Alderfer, Brian K. Smith, Santiago Ontañón, Bruce Char, Jessica Nebolsky, Jichen Zhu, Anushay Furqan, Evan Freed, Justin H. Patterson, Josep Valls-Vargas
Lessons Learned From an Interactive Educational Computer Game About Concurrent Programming: (Abstract Only). SIGCSE (2018)
Brandon Packard, Santiago Ontañón
A User Study on Learning from Human Demonstration. AIIDE (2018)
Brandon Packard, Santiago Ontañón
Learning Behavior from Limited Demonstrations in the Context of Games. FLAIRS Conference (2018)
Josiah Wong, Lauren Hastings, Kevin Negy, Avelino J. Gonzalez, Santiago Ontañón, Yi-Ching Lee
Machine Learning from Observation to Detect Abnormal Driving Behavior in Humans. FLAIRS Conference (2018)
Pavan Kantharaju, Katelyn Bright Alderfer, Jichen Zhu, Bruce Char, Brian K. Smith, Santiago Ontañón
Tracing Player Knowledge in a Parallel Programming Educational Game. AIIDE (2018)
Santiago Ontañón, Ali Shokoufandeh
Refinement operators for directed labeled graphs with applications to instance-based learning. Knowl. Based Syst. 161 (2018)
Santiago Ontañón, Nicolas A. Barriga, Cleyton R. Silva, Rubens O. Moraes, Levi H. S. Lelis
The First microRTS Artificial Intelligence Competition. AI Mag. 39 (1) (2018)
Pavan Kantharaju, Santiago Ontañón, Christopher W. Geib
μCCG, a CCG-based Game-Playing Agent for μRTS. CIG (2018)
Christopher C. Yang, Ou Stella Liang, Santiago Ontañón, Weimao Ke, Helen Loeb, Charlie Klauer
Predictive Modeling with Vehicle Sensor Data and IoT for Injury Prevention. CIC (2018)
Alberto Uriarte, Santiago Ontañón
Combat Models for RTS Games. IEEE Trans. Games 10 (1) (2018)
Brian Magerko, Julio César Bahamón, Michael Buro, Rossana Damiano, Jo Mazeika, Santiago Ontañón, Justus Robertson, James Ryan, Kristin Siu
The 13th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. AI Mag. 39 (2) (2018)
Zuozhi Yang, Santiago Ontañón
Learning Map-Independent Evaluation Functions for Real-Time Strategy Games. CIG (2018)
Daniel O'Connor, Stelios Kapetanakis, Georgios Samakovitis, Michael W. Floyd, Santiago Ontañón, Miltos Petridis
Autonomous Swarm Agents Using Case-Based Reasoning. SGAI Conf. (2018)
Santiago Ontañón
SHRDLU: A Game Prototype Inspired by Winograd's Natural Language Understanding Work. AIIDE (2018)
Santiago Ontañón, Jichen Zhu, Brian K. Smith, Bruce Char, Evan Freed, Anushay Furqan, Michael Howard, Anna Nguyen, Justin H. Patterson, Josep Valls-Vargas
Designing Visual Metaphors for an Educational Game for Parallel Programming. CHI Extended Abstracts (2017)
Sam Snodgrass, Santiago Ontañón
Leveraging Multi-Layer Level Representations for Puzzle-Platformer Level Generation. AIIDE Workshops (2017)
Santiago Ontañón, Josep Valls-Vargas, Jichen Zhu
Bridging the Gap Between Computational Narrative and Natural Language Processing. AAAI Workshops (2017)
Santiago Ontañón
Combinatorial Multi-armed Bandits for Real-Time Strategy Games. CoRR (2017)
Josep Valls-Vargas, Jichen Zhu, Santiago Ontañón
Error Analysis in an Automated Narrative Information Extraction Pipeline. IEEE Trans. Comput. Intell. AI Games 9 (4) (2017)
Josep Valls-Vargas, Jichen Zhu, Santiago Ontañón
Towards Automatically Extracting Story Graphs from Natural Language Stories. AAAI Workshops (2017)
Sam Snodgrass, Adam Summerville, Santiago Ontañón
Studying the Effects of Training Data on Machine Learning-Based Procedural Content Generation. AIIDE (2017)
Jeannette Bohg, Xavier Boix, Nancy Chang, Elizabeth F. Churchill, Vivian Chu, Fei Fang, Jerome Feldman, Avelino J. Gonzalez, Takashi Kido, William F. Lawless, José L. Montaña, Santiago Ontañón, Jivko Sinapov, Donald A. Sofge, Luc Steels, Molly Wright Steenson, Keiki Takadama, Amulya Yadav
Reports on the 2017 AAAI Spring Symposium Series. AI Mag. 38 (4) (2017)
Sam Snodgrass, Santiago Ontañón
Learning to Generate Video Game Maps Using Markov Models. IEEE Trans. Comput. Intell. AI Games 9 (4) (2017)
Josep Valls-Vargas, Jichen Zhu, Santiago Ontañón
From computational narrative analysis to generation: a preliminary review. FDG (2017)
Adam Summerville, Julian R. H. Mariño, Sam Snodgrass, Santiago Ontañón, Levi H. S. Lelis
Understanding mario: an evaluation of design metrics for platformers. FDG (2017)
Brandon Packard, Santiago Ontañón
Feature Selection for Learning from Demonstration in Minecraft. FLAIRS Conference (2017)
Antonio A. Sánchez-Ruiz, Santiago Ontañón
Structural plan similarity based on refinements in the space of partial plans. Comput. Intell. 33 (4) (2017)
Santiago Ontañón
Combinatorial Multi-armed Bandits for Real-Time Strategy Games. J. Artif. Intell. Res. 58 (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Santiago Ontañón