Paul Ruvolo

Research Interests

For a description of my current research direction and interest, please see the OCCaM frontpage.

Teaching

Publications

[37] A Contextualized, Experiential Learning Approach to Quantitative Engineering Analysis
   with Siddhartan Govindasamy, Rebecca Christianson, John Geddes, Chris Lee, Samantha Michalka, Mark Somerville, and Alexandra Coso StrongFIE (to appear)
[36] Behind the robot’s smiles and frowns: In social context, people do not mirror android’s expressions but react to their informational value
   with Galit Hofree, Audrey Reinert, Marian S. Bartlett, and Piotr WinkielmanFrontiers in Neuroscience 2018
[35] Autonomous sailing for blind sailors using GPS
   with Kaitlyn Kiel, Alex Morrow, and John GeddesOCEANS 2017
[34] Sensing sail luffing by detection of sail shape
   with Rebecca Jordan, and Alex MorrowOCEANS 2017
[33] How Do Faculty Partner While Teaching Interdisciplinary CS+X Courses: Models and Experiences
   with Darakhshan Mir, Sumita Mishra, Lori Pollock, and Sam EngenJournal of Computing Sciences in Colleges
[32] Dude, Where's My Robot?: A Localization Challenge for Undergraduate Robotics
   EAAI 2017
[31] Infants Time Their Smiles to Make Their Moms Smile
   with Daniel Messinger and Javier MovellanPLOS ONE 2015
[30] Autonomous Cross-Domain Knowledge Transfer in Lifelong Policy Gradient Reinforcement Learning
   with Haitham Bou Ammar, Eric Eaton, and Jose Marcio LunaIJCAI 2015
[29] Unsupervised Cross-Domain Transfer in Policy Gradient Reinforcement Learning via Manifold Alignment
   with Haitham Bou Ammar, Eric Eaton, and Matthew E. TaylorAAAI 2015
[28] The Android in the Room: Spontaneous Mimicry of a Physically Present Android
   with Galit Hofree, Marian S. Bartlett, and Piotr WinkielmanPLOS ONE 2014
[27] Online Multi-Task Learning for Policy Gradient Methods
   with Haitham Bou Ammar, Eric Eaton, and Matthew TaylorICML 2014
[26] Online Multi-Task Learning via Sparse Dictionary Optimization
   with Eric EatonAAAI 2014
[25] Exploiting Commonality and Interaction Effects in Crowdsourcing Tasks Using Latent Factor Models
   with Jacob Whitehill and Javier MovellanNIPS Workshop on Crowdsourcing: Theory, Algorithms, and Applications 2013
[24] Affective Computing, Emotional Development, and Autism
   with Daniel Messinger, Leticia Lobo Duvivier, Zachary Warren, Mohammad Mahoor, and Jason Baker, Anne Warlaumontin Calvo R. (Ed.), Handbook of Affective Computing. New York: Oxford University Press.
[23] Active Task Selection for Lifelong Machine Learning [code]
   with Eric EatonAAAI 2013
[22] ELLA: An Efficient Lifelong Learning Algorithm [Matlab code, Python code]
   with Eric EatonICML 2013
[21] Online Multi-Task Learning Based on K-SVD
   with Eric EatonICML Workshop on Theoretically Guided Transfer Learning 2013
[20] Scalable Lifelong Learning with Active Task Selection
   with Eric EatonAAAI Spring Symposium on Lifelong Learning 2013
[19] A Computational Approach to the Study of Social Interaction
    
UC San Diego Ph.D. Dissertation 2012
[18] Control by Gradient Collocation: Applications to Optimal Obstacle Avoidance and Minimum Torque Control
   with Tingfan Wu and Javier MovellanIROS 2012
[17] Multi-layer architectures for facial action unit recognition
   with Tingfan Wu, Nicholas Butko, Jacob Whitehill, Marian Bartlett, and Javier MovellanSystems, Man, and Cybernetics (journal) 2012
[16] Collecting a Developmental Dataset of Reaching Behavior: First Steps
   with Tingfan Wu, Juan Artigas, Whitney Mattson, Javier Movellan, and Daniel MessingerIROS Workshop on Cognitive Neuroscience Robots 2011
[15] Are you interested baby? Young infants exhibit stable patterns of attention during interaction
   with Daniel Messinger, Naomi Ekas, and Alan FogelInfacy (journal) 2011
[14] Action Unit Recognition Transfer Across Datasets
   with Tingfan Wu, Nicholas Butko, Jacob Whitehill, Marian Bartlett, and Javier MovellanFace and Gesture Workshops 2011
[13] The motion in emotion -- a CERT based approach to the FERA emotion challenge
   with Gwen Littlewort, Marian Bartlett, Jacob Whitehill, Tingfan Wu, Nicholas Butko, and Javier MovellanFace and Gesture Workshops 2011
[12] Alternatives to Low-Level Synchrony Based Methods for Speech Detection
   with Javier MovellanNIPS 2010
[11] Applying Machine Learning to Infant Interaction: The Development's in the Details
   with Daniel Messinger, Naomi Ekas, and Alan FogelNeural Networks (journal) 2010
[10] A learning approach to hierarchical feature selection and aggregation
   with Ian Fasel and Javier MovellanPattern Recognition Letters (journal) 2010
[9] Approaches and Databases for Online Calibration of Binaural Sound Localization for Robotic Heads
   with Holger Finger, Shih-Chii Lui, and Javier MovellanIROS 2010
[8] Whose Vote Should More: Optimal Integration of Labels from Labelers of Unknown Expertise [code]
   with Jacob Whitehill, Tingfan Wu, Jacob Bergsma, and Javier MovellanNIPS 2009
[7] Learning to Make Facial Expressions
   with Tingfan Wu, Nicholas Butko, Marian Bartlett, and Javier MovellanICDL 2009
[6] Optimization on a Budget: A Reinforcement Learning Approach
   with Ian Fasel and Javier MovellanNIPS 2008
[5] Tuning Optimizers for Time-Constrained Problems using Reinforcement Learning
   with Ian Fasel and Javier MovellanNIPS Workshop on Optimization for Machine Learning 2008
[4] Building a More Effective Teaching Robot via Apprenticeship Learning
   with Jacob Whitehill, Mario Virnes, and Javier MovellanICDL 2008
[3] Automatic Cry Detection in Early Childhood Education Settings
   with Javier MovellanICDL 2008
[2] Auditory Mood Detection for Social and Educational Robots
   with Ian Fasel and Javier MovellanICRA 2008
[1] The RUBI project: a progress report
   with Javier Movellan, Tanaka Fumihide, Ian Fasel, Cynthia Taylor, and Micah EckhardtHRI 2007