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Visual Time Series Forecasting: An Image-driven Approach


Jul 02, 2021
Naftali Cohen, Srijan Sood, Zhen Zeng, Tucker Balch, Manuela Veloso


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Waiting Tables as a Robot Planning Problem


May 21, 2021
Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev


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Advising Agent for Service-Providing Live-Chat Operators


May 14, 2021
Aviram Aviv, Yaniv Oshrat, Samuel A. Assefa, Tobi Mustapha, Daniel Borrajo, Manuela Veloso, Sarit Kraus


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Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods


Feb 25, 2021
Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso


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Theory and Analysis of Optimal Planning over Long and Infinite Horizons for Achieving Independent Partially-Observable Tasks that Evolve over Time


Feb 25, 2021
Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev


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Deep Video Prediction for Time Series Forecasting


Feb 24, 2021
Zhen Zeng, Tucker Balch, Manuela Veloso


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Playing with Food: Learning Food Item Representations through Interactive Exploration


Jan 06, 2021
Amrita Sawhney, Steven Lee, Kevin Zhang, Manuela Veloso, Oliver Kroemer

* 12 pages, 8 figures, 2 tables, to be published in Proceedings of International Symposium on Experimental Robotics (ISER) 2020, project website located here: https://sites.google.com/view/playing-with-food/home 

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Visual Forecasting of Time Series with Image-to-Image Regression


Nov 18, 2020
Naftali Cohen, Srijan Sood, Zhen Zeng, Tucker Balch, Manuela Veloso


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Domain-independent generation and classification of behavior traces


Nov 03, 2020
Daniel Borrajo, Manuela Veloso

* A version of this paper appears in the Pre-prints of the Workshop in Planning for Financial Services (FinPlan) at ICAPS'20. arXiv admin note: text overlap with arXiv:2011.01826 

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Simulating and classifying behavior in adversarial environments based on action-state traces: an application to money laundering


Nov 03, 2020
Daniel Borrajo, Manuela Veloso, Sameena Shah

* A version appeared in the Proceedings of the 2020 ACM International Conference on AI in Finance (ICAIF'20) 

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Robust Document Representations using Latent Topics and Metadata


Oct 23, 2020
Natraj Raman, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso

* 9 pages, 7 figures 

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SURF: Improving classifiers in production by learning from busy and noisy end users


Oct 12, 2020
Joshua Lockhart, Samuel Assefa, Ayham Alajdad, Andrew Alexander, Tucker Balch, Manuela Veloso

* Will appear in ACM International Conference on AI in Finance (ICAIF '20), October 15-16, 2020, New York, NY, USA 

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Paying down metadata debt: learning the representation of concepts using topic models


Oct 09, 2020
Jiahao Chen, Manuela Veloso

* Proceedings of the 1st ACM International Conference on AI in Finance (ICAIF '20), October 15-16, 2020, New York, NY, USA 
* 8 pages, 4 figures. Data set available in paper source 

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AI pptX: Robust Continuous Learning for Document Generation with AI Insights


Oct 02, 2020
Vineeth Ravi, Selim Amrouni, Andrea Stefanucci, Prashant Reddy, Manuela Veloso

* We introduce a novel framework called "AI pptX"for creating and modifying documents as well as extract insights in the form of natural language sentences from data. Accepted at NeurIPS 2019: Workshop on Robust AI in Financial Services: Data, Fairness, Explainability, Trustworthiness, and Privacy 10 pages in total (8 pages + 2 (Acknowledgements, references etc.)) , 5 figures 

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Calibration of Shared Equilibria in General Sum Partially Observable Markov Games


Jun 23, 2020
Nelson Vadori, Sumitra Ganesh, Prashant Reddy, Manuela Veloso


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Risk-Sensitive Reinforcement Learning: a Martingale Approach to Reward Uncertainty


Jun 23, 2020
Nelson Vadori, Sumitra Ganesh, Prashant Reddy, Manuela Veloso


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Guaranteeing Reproducibility in Deep Learning Competitions


May 12, 2020
Brandon Houghton, Stephanie Milani, Nicholay Topin, William Guss, Katja Hofmann, Diego Perez-Liebana, Manuela Veloso, Ruslan Salakhutdinov

* Accepted as a poster presentation to the 2019 NeruIPS Challenges in Machine Learning workshop (CiML) 

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Some people aren't worth listening to: periodically retraining classifiers with feedback from a team of end users


Apr 27, 2020
Joshua Lockhart, Samuel Assefa, Tucker Balch, Manuela Veloso

* Presented at the 2019 ICML Workshop on AI in Finance: Applications and Infrastructure for Multi-Agent Learning. Long Beach, CA 

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Latent Bayesian Inference for Robust Earnings Estimates


Apr 14, 2020
Chirag Nagpal, Robert E. Tillman, Prashant Reddy, Manuela Veloso

* NeurIPS 2019 Workshop on Robust AI in Financial Services: Data, Fairness, Explainability, Trustworthiness and Privacy 

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Heuristics for Link Prediction in Multiplex Networks


Apr 09, 2020
Robert E. Tillman, Vamsi K. Potluru, Jiahao Chen, Prashant Reddy, Manuela Veloso

* Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020) 

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Playing Games in the Dark: An approach for cross-modality transfer in reinforcement learning


Nov 28, 2019
Rui Silva, Miguel Vasco, Francisco S. Melo, Ana Paiva, Manuela Veloso


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Reinforcement Learning for Market Making in a Multi-agent Dealer Market


Nov 14, 2019
Sumitra Ganesh, Nelson Vadori, Mengda Xu, Hua Zheng, Prashant Reddy, Manuela Veloso


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A Robot's Expressive Language Affects Human Strategy and Perceptions in a Competitive Game


Oct 24, 2019
Aaron M. Roth, Samantha Reig, Umang Bhatt, Jonathan Shulgach, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela Veloso

* Proceedings of the 28th IEEE International Conference on Robot Human Interactive Communication, New Delhi, India, October 2019 
* RO-MAN 2019; 8 pages, 4 figures, 1 table 

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Leveraging Multimodal Haptic Sensory Data for Robust Cutting


Sep 27, 2019
Kevin Zhang, Mohit Sharma, Manuela Veloso, Oliver Kroemer

* Accepted as conference paper at Humanoids'19 

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The Effect of Visual Design in Image Classification


Aug 20, 2019
Naftali Cohen, Tucker Balch, Manuela Veloso


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MineRL: A Large-Scale Dataset of Minecraft Demonstrations


Jul 29, 2019
William H. Guss, Brandon Houghton, Nicholay Topin, Phillip Wang, Cayden Codel, Manuela Veloso, Ruslan Salakhutdinov

* Accepted at IJCAI 2019, 7 pages, 6 figures. arXiv admin note: text overlap with arXiv:1904.10079 

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Trading via Image Classification


Jul 23, 2019
Naftali Cohen, Tucker Balch, Manuela Veloso

* Submitted to Neurips 2019 

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Conservative Q-Improvement: Reinforcement Learning for an Interpretable Decision-Tree Policy


Jul 02, 2019
Aaron M. Roth, Nicholay Topin, Pooyan Jamshidi, Manuela Veloso

* 6 pages + 1 page of references 

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