Cynthia Matuszek

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 50

Top Topics

Manifold Alignment

Nonnegative Matrix Factorization

Malware Detection

Top Venues

Publications

Cynthia Matuszek, Nick DePalma, Ross Mead, Tom Williams, Ruchen Wen
Scarecrows in Oz: Large Language Models in HRI. HRI (Companion) (2024)
Casey Kennington, Malihe Alikhani, Heather Pon-Barry, Katherine Atwell, Yonatan Bisk, Daniel Fried, Felix Gervits, Zhao Han, Mert Inan, Michael Johnston, Raj Korpan, Diane J. Litman, Matthew Marge, Cynthia Matuszek, Ross Mead, Shiwali Mohan, Raymond J. Mooney, Natalie Parde, Jivko Sinapov, Angela Stewart, Matthew Stone, Stefanie Tellex, Tom Williams
Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community. CoRR (2024)
Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Ismael Boureima, Cynthia Matuszek, Boian S. Alexandrov
Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection. CoRR (2024)
Tom Williams, Cynthia Matuszek, Ross Mead, Nick DePalma
Scarecrows in Oz: The Use of Large Language Models in HRI. ACM Trans. Hum. Robot Interact. 13 (1) (2024)
Ryan Barron, Maksim Eken Eren, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas, Cynthia Matuszek
Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization. CoRR (2024)
Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Selma Wanna, Nick Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas, Cynthia Matuszek
Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization. ISDFS (2024)
Tom Williams, Cynthia Matuszek, Kristiina Jokinen, Raj Korpan, James Pustejovsky, Brian Scassellati
Voice in the Machine: Ethical Considerations for Language-Capable Robots. Commun. ACM 66 (8) (2023)
Ran Liu, Robert J. Joyce, Cynthia Matuszek, Charles Nicholas
Evaluating Representativeness in PDF Malware Datasets: A Comparative Study and a New Dataset. BigData (2023)
Luke E. Richards, Edward Raff, Cynthia Matuszek
Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition. AISec@CCS (2023)
Mohammad Mahmudul Alam, Edward Raff, Tim Oates, Cynthia Matuszek
DDxT: Deep Generative Transformer Models for Differential Diagnosis. CoRR (2023)
Luke E. Richards, Edward Raff, Cynthia Matuszek
Measuring Equality in Machine Learning Security Defenses. CoRR (2023)
Edward Raff, Cynthia Matuszek
Does Starting Deep Learning Homework Earlier Improve Grades? ECAI Workshops (2) (2023)
Edward Raff, Cynthia Matuszek
Does Starting Deep Learning Homework Earlier Improve Grades? CoRR (2023)
Ran Liu, Cynthia Matuszek, Charles Nicholas
A PDF Malware Detection Method Using Extremely Small Training Sample Size. DocEng (2023)
Tirth Patel, Fred Lu, Edward Raff, Charles Nicholas, Cynthia Matuszek, James Holt
Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits! CoRR (2023)
Kasra Darvish, Edward Raff, Francis Ferraro, Cynthia Matuszek
Multimodal Language Learning for Object Retrieval in Low Data Regimes in the Face of Missing Modalities. Trans. Mach. Learn. Res. 2023 (2023)
Tirth Patel, Fred Lu, Edward Raff, Charles Nicholas, Cynthia Matuszek, James Holt
Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits! CAMLIS (2023)
Jacob Rubinstein, Cynthia Matuszek, Don Engel
Photogrammetry and VR for Comparing 2D and Immersive Linguistic Data Collection (Student Abstract). AAAI (2023)
Padraig Higgins, Ryan Barron, Don Engel, Cynthia Matuszek
A Comparative Analysis of VR-Based and Real-World Human-Robot Collaboration for Small-Scale Joining. VRW (2023)
Matthew Marge, Carol Y. Espy-Wilson, Nigel G. Ward, Abeer Alwan, Yoav Artzi, Mohit Bansal, Gilmer L. Blankenship, Joyce Chai, Hal Daumé III, Debadeepta Dey, Mary P. Harper, Thomas Howard, Casey Kennington, Ivana Kruijff-Korbayová, Dinesh Manocha, Cynthia Matuszek, Ross Mead, Raymond Mooney, Roger K. Moore, Mari Ostendorf, Heather Pon-Barry, Alexander I. Rudnicky, Matthias Scheutz, Robert St. Amant, Tong Sun, Stefanie Tellex, David R. Traum, Zhou Yu
Spoken language interaction with robots: Recommendations for future research. Comput. Speech Lang. 71 (2022)
Cynthia Matuszek, Harold Soh, Matthew C. Gombolay, Nakul Gopalan, Reid G. Simmons, Stefanos Nikolaidis
Machine Learning in Human-Robot Collaboration: Bridging the Gap. HRI (2022)
Larry Matthies, Aaron M. Johnson, Monroe Kennedy, Cynthia Matuszek, Dilip Patel
Editorial: Special Issue on Robotics Collaborative Technology Alliance (RCTA) Program. Field Robotics 2 (1) (2022)
Gaoussou Youssouf Kebe, Luke E. Richards, Edward Raff, Francis Ferraro, Cynthia Matuszek
Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech. AAAI (2022)
Adam J. Berlier, Anjali Bhatt, Cynthia Matuszek
Augmenting Simulation Data with Sensor Effects for Improved Domain Transfer. ECCV Workshops (6) (2022)
Padraig Higgins, Ryan Barron, Cynthia Matuszek
Head Pose for Object Deixis in VR-Based Human-Robot Interaction. RO-MAN (2022)
Gaoussou Youssouf Kebe, Luke E. Richards, Edward Raff, Francis Ferraro, Cynthia Matuszek
Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech. CoRR (2021)
Luke E. Richards, André T. Nguyen, Ryan Capps, Steven Forsyth, Cynthia Matuszek, Edward Raff
Adversarial Transfer Attacks With Unknown Data and Class Overlap. AISec@CCS (2021)
Nisha Pillai, Cynthia Matuszek, Francis Ferraro
Neural Variational Learning for Grounded Language Acquisition. RO-MAN (2021)
Nisha Pillai, Cynthia Matuszek, Francis Ferraro
Neural Variational Learning for Grounded Language Acquisition. CoRR (2021)
Luke E. Richards, André T. Nguyen, Ryan Capps, Steven Forsyth, Cynthia Matuszek, Edward Raff
Adversarial Transfer Attacks With Unknown Data and Class Overlap. CoRR (2021)
John Boutsikas, Maksim Ekin Eren, Charles K. Varga, Edward Raff, Cynthia Matuszek, Charles Nicholas
Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery. CoRR (2021)
Gaoussou Youssouf Kebe, Padraig Higgins, Patrick Jenkins, Kasra Darvish, Rishabh Sachdeva, Ryan Barron, John Winder, Don Engel, Edward Raff, Francis Ferraro, Cynthia Matuszek
A Spoken Language Dataset of Descriptions for Speech-Based Grounded Language Learning. NeurIPS Datasets and Benchmarks (2021)
Mark Murnane, Padraig Higgins, Monali Saraf, Francis Ferraro, Cynthia Matuszek, Don Engel
A Simulator for Human-Robot Interaction in Virtual Reality. VR Workshops (2021)
Nisha Pillai, Cynthia Matuszek, Francis Ferraro
Measuring Perceptual and Linguistic Complexity in Multilingual Grounded Language Data. FLAIRS Conference (2021)
André T. Nguyen, Luke E. Richards, Gaoussou Youssouf Kebe, Edward Raff, Kasra Darvish, Frank Ferraro, Cynthia Matuszek
Practical Cross-Modal Manifold Alignment for Robotic Grounded Language Learning. CVPR Workshops (2021)
John Winder, Stephanie Milani, Matthew Landen, Erebus Oh, Shane Parr, Shawn Squire, Marie desJardins, Cynthia Matuszek
Planning with Abstract Learned Models While Learning Transferable Subtasks. AAAI (2020)
André T. Nguyen, Luke E. Richards, Gaoussou Youssouf Kebe, Edward Raff, Kasra Darvish, Frank Ferraro, Cynthia Matuszek
Practical Cross-modal Manifold Alignment for Grounded Language. CoRR (2020)
Nisha Pillai, Edward Raff, Francis Ferraro, Cynthia Matuszek
Sampling Approach Matters: Active Learning for Robotic Language Acquisition. IEEE BigData (2020)
Nisha Pillai, Edward Raff, Francis Ferraro, Cynthia Matuszek
Sampling Approach Matters: Active Learning for Robotic Language Acquisition. CoRR (2020)
Luke E. Richards, Kasra Darvish, Cynthia Matuszek
Learning Object Attributes with Category-Free Grounded Language from Deep Featurization. IROS (2020)
Stefanie Tellex, Nakul Gopalan, Hadas Kress-Gazit, Cynthia Matuszek
Robots That Use Language. Annu. Rev. Control. Robotics Auton. Syst. 3 (2020)
Patrick Jenkins, Rishabh Sachdeva, Gaoussou Youssouf Kebe, Padraig Higgins, Kasra Darvish, Edward Raff, Don Engel, John Winder, Francisco Ferraro, Cynthia Matuszek
Presentation and Analysis of a Multimodal Dataset for Grounded LanguageLearning. CoRR (2020)
Caroline Kery, Nisha Pillai, Cynthia Matuszek, Francis Ferraro
Building Language-Agnostic Grounded Language Learning Systems. RO-MAN (2019)
Mark Murnane, Max Breitmeyer, Francis Ferraro, Cynthia Matuszek, Don Engel
Learning from human-robot interactions in modeled scenes. SIGGRAPH Posters (2019)
Mark Murnane, Max Breitmeyer, Cynthia Matuszek, Don Engel
Virtual Reality and Photogrammetry for Improved Reproducibility of Human-Robot Interaction Studies. VR (2019)
Neil Bell, Brian Seipp, Tim Oates, Cynthia Matuszek
Inferring Robot Morphology from Observation of Unscripted Movement. ICRA (2019)
John Winder, Stephanie Milani, Matthew Landen, Erebus Oh, Shane Parr, Shawn Squire, Marie desJardins, Cynthia Matuszek
Planning with Abstract Learned Models While Learning Transferable Subtasks. CoRR (2019)
Cynthia Matuszek
Grounded Language Learning: Where Robotics and NLP Meet. IJCAI (2018)
Nisha Pillai, Cynthia Matuszek
Unsupervised Selection of Negative Examples for Grounded Language Learning. AAAI (2018)
Prajit Kumar Das, Abhay L. Kashyap, Gurpreet Singh, Cynthia Matuszek, Tim Finin, Anupam Joshi
Semantic Knowledge and Privacy in the Physical Web. PrivOn@ISWC (2016)
Mitchell Scott, Bei Peng, Madeline Chili, Tanay Nigam, Francis G. Pascual, Cynthia Matuszek, Matthew E. Taylor
On the Ability to Provide Demonstrations on a UAS: Observing 90 Untrained Participants Abusing a Flying Robot. AAAI Fall Symposia (2015)
Matthew Kay, Cynthia Matuszek, Sean A. Munson
Unequal Representation and Gender Stereotypes in Image Search Results for Occupations. CHI (2015)
Cynthia Matuszek, Liefeng Bo, Luke Zettlemoyer, Dieter Fox
Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions. AAAI (2014)
Cynthia Matuszek, Evan Herbst, Luke S. Zettlemoyer, Dieter Fox
Learning to Parse Natural Language Commands to a Robot Control System. ISER (2012)
Cynthia Matuszek, Nicholas FitzGerald, Luke S. Zettlemoyer, Liefeng Bo, Dieter Fox
A Joint Model of Language and Perception for Grounded Attribute Learning. ICML (2012)
Vikas Agrawal, Jorge A. Baier, Kostas E. Bekris, Yiling Chen, Artur S. d'Avila Garcez, Pascal Hitzler, Patrik Haslum, Dietmar Jannach, Edith Law, Freddy Lécué, Luís C. Lamb, Cynthia Matuszek, Héctor Palacios, Biplav Srivastava, Lokendra Shastri, Nathan R. Sturtevant, Roni Stern, Stefanie Tellex, Stavros Vassos
Reports of the AAAI 2012 Conference Workshops. AI Mag. 33 (4) (2012)
Cynthia Matuszek, Brian Mayton, Roberto Aimi, Marc Peter Deisenroth, Liefeng Bo, Robert Chu, Mike Kung, Louis LeGrand, Joshua R. Smith, Dieter Fox
Gambit: An autonomous chess-playing robotic system. ICRA (2011)
Cynthia Matuszek, Dieter Fox, Karl Koscher
Following directions using statistical machine translation. HRI (2010)
Tamara Denning, Cynthia Matuszek, Karl Koscher, Joshua R. Smith, Tadayoshi Kohno
A spotlight on security and privacy risks with future household robots: attacks and lessons. UbiComp (2009)
Matthew E. Taylor, Cynthia Matuszek, Bryan Klimt, Michael J. Witbrock
Autonomous Classification of Knowledge into an Ontology. FLAIRS Conference (2007)
Matthew E. Taylor, Cynthia Matuszek, Pace Reagan Smith, Michael J. Witbrock
Guiding Inference with Policy Search Reinforcement Learning. FLAIRS Conference (2007)
Purvesh Shah, David Schneider, Cynthia Matuszek, Robert C. Kahlert, Bjørn Aldag, David Baxter, John Cabral, Michael J. Witbrock, Jon Curtis
Automated Population of Cyc: Extracting Information about Named-entities from the Web. FLAIRS Conference (2006)
Cynthia Matuszek, John Cabral, Michael J. Witbrock, John DeOliveira
An Introduction to the Syntax and Content of Cyc. AAAI Spring Symposium: Formalizing and Compiling Background Knowledge and Its Applications to Knowledge Representation and Question Answering (2006)
Blake Shepard, Cynthia Matuszek, C. Bruce Fraser, William Wechtenhiser, David Crabbe, Zelal Güngördü, John Jantos, Todd Hughes, Larry Lefkowitz, Michael J. Witbrock, Douglas B. Lenat, Erik Larson
A Knowledge-Based Approach to Network Security: Applying Cyc in the Domain of Network Risk Assessment. AAAI (2005)
John Cabral, Robert C. Kahlert, Cynthia Matuszek, Michael J. Witbrock, Brett Summers
Converting Semantic Meta-knowledge into Inductive Bias. ILP (2005)
Cynthia Matuszek, Michael J. Witbrock, Robert C. Kahlert, John Cabral, David Schneider, Purvesh Shah, Douglas B. Lenat
Searching for Common Sense: Populating Cyc™ from the Web. AAAI (2005)
Michael J. Witbrock, Cynthia Matuszek, Antoine Brusseau, Robert C. Kahlert, C. Bruce Fraser, Douglas B. Lenat
Knowledge Begets Knowledge: Steps towards Assisted Knowledge Acquisition in Cyc. AAAI Spring Symposium: Knowledge Collection from Volunteer Contributors (2005)