Autonomous Exploration: An Integrated Systems Approach. - Marc Bolduc; Eric Bourque; Gregory Dudek; Nicholas Roy; Robert Sim (AAAI/IAAI, 1997)

Mobile robot localization from learned landmarks. - Robert Sim; Gregory Dudek (IROS, 1998)

Learning and Evaluating Visual Features for Pose Estimation. - Robert Sim; Gregory Dudek (ICCV, 1999)

Learning Visual Landmarks for Pose Estimation. - Robert Sim; Gregory Dudek (ICRA, 1999)

Learning Landmarks for Robot Localization. - Robert Sim; Gregory Dudek (AAAI/IAAI, 2000)

RoboMutts. - Robert Sim; Paul Russo; Andrew Grahm; Andrew Blair; Nick Barnes; Alan Blair 001 (RoboCup, 2000)

Collaborative exploration for map construction. - Ioannis M. Rekleitis; Robert Sim; Gregory Dudek; Evangelos E. Milios (CIRA, 2001)

Collaborative exploration for the construction of visual maps. - Ioannis M. Rekleitis; Robert Sim; Gregory Dudek; Evangelos E. Milios (IROS, 2001)

Learning environmental features for pose estimation. - Robert Sim; Gregory Dudek (Image Vis. Comput., 2001)

Robodaemon -a device independent, network-oriented, modular mobile robot controller. - Gregory Dudek; Robert Sim (ICRA, 2003)

Comparing image-based localization methods. - Robert Sim; Gregory Dudek (IJCAI, 2003)

Effective exploration strategies for the construction of visual maps. - Robert Sim; Gregory Dudek (IROS, 2003)

Self-Organizing Visual Maps. - Robert Sim; Gregory Dudek (AAAI, 2004)

Online Control Policy Optimization for Minimizing Map Uncertainty during Exploration. - Robert Sim; Gregory Dudek; Nicholas Roy (ICRA, 2004)

AQUA: an aquatic walking robot. - Christina Georgiades; Andrew German; Andrew Hogue; Hui Liu; Chris Prahacs; Arlene Ripsman; Robert Sim; Luz Abril Torres-Méndez; Pifu Zhang; Martin Buehler; Gregory Dudek; Michael Jenkin; et al. (IROS, 2004)

Learning generative models of invariant features. - Robert Sim; Gregory Dudek (IROS, 2004)

Learning Generative Models of Scene Features. - Robert Sim; Gregory Dudek (Int. J. Comput. Vis., 2004)

Stable Exploration for Bearings-only SLAM. - Robert Sim (ICRA, 2005)

Global A-Optimal Robot Exploration in SLAM. - Robert Sim; Nicholas Roy (ICRA, 2005)

Stabilizing information-driven exploration for bearings-only SLAM using range gating. - Robert Sim (IROS, 2005)

Design and analysis of a framework for real-time vision-based SLAM using Rao-Blackwellised particle filters. - Robert Sim; Pantelis Elinas; Matt Griffin; Alex Shyr; James J. Little (CRV, 2006)

σSLAM: Stereo Vision SLAM using the Rao-Blackwellised Particle Filter and a Novel Mixture Proposal Distribution. - Pantelis Elinas; Robert Sim; James J. Little (ICRA, 2006)

Autonomous vision-based exploration and mapping using hybrid maps and Rao-Blackwellised particle filters. - Robert Sim; James J. Little (IROS, 2006)

Landmark Selection for Vision-Based Navigation. - Pablo Sala; Robert Sim; Ali Shokoufandeh; Sven J. Dickinson (IEEE Trans. Robotics, 2006)

A Study of the Rao-Blackwellised Particle Filter for Efficient and Accurate Vision-Based SLAM. - Robert Sim; Pantelis Elinas; James J. Little (Int. J. Comput. Vis., 2007)

Autonomous vision-based robotic exploration and mapping using hybrid maps and particle filters. - Robert Sim; James J. Little (Image Vis. Comput., 2009)

Second and Third Canadian Conferences on Computer and Robot Vision. - Robert Sim; Greg Mori; Yiannis Rekleitis (Image Vis. Comput., 2009)

Task Completion Detection: A Study in the Context of Intelligent Systems. - Ryen W. White; Ahmed Hassan Awadallah; Robert Sim (SIGIR, 2019)

Domain Adaptation for Commitment Detection in Email. - Hosein Azarbonyad; Robert Sim; Ryen W. White (WSDM, 2019)

Multi-device digital assistance. - Ryen W. White; Adam Fourney; Allen Herring; Paul N. Bennett; Nirupama Chandrasekaran; Robert Sim; Elnaz Nouri; Mark J. Encarnación (Commun. ACM, 2019)

Conversations with Documents: An Exploration of Document-Centered Assistance. - Maartje ter Hoeve; Robert Sim; Elnaz Nouri; Adam Fourney; Maarten de Rijke; Ryen W. White (CHIIR, 2020)

Step-wise Recommendation for Complex Task Support. - Elnaz Nouri; Robert Sim; Adam Fourney; Ryen W. White (CHIIR, 2020)

Leveraging Structured Metadata for Improving Question Answering on the Web. - Xinya Du; Ahmed Hassan Awadallah; Adam Fourney; Robert Sim; Paul N. Bennett; Claire Cardie (AACL/IJCNLP, 2020)

Proactive Suggestion Generation: Data and Methods for Stepwise Task Assistance. - Elnaz Nouri; Robert Sim; Adam Fourney; Ryen W. White (SIGIR, 2020)

Toward Activity Discovery in the Personal Web. - Tara Safavi; Adam Fourney; Robert Sim; Marcin Juraszek; Shane Williams; Ned Friend; Danai Koutra; Paul N. Bennett (WSDM, 2020)

Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets. - Su Lin Blodgett; Gilsinia Lopez; Alexandra Olteanu; Robert Sim; Hanna M. Wallach (ACL/IJCNLP (1), 2021)

MeetingCoach: An Intelligent Dashboard for Supporting Effective & Inclusive Meetings. - Samiha Samrose; Daniel McDuff; Robert Sim; Jina Suh; Kael Rowan; Javier Hernandez; Sean Rintel; Kevin Moynihan; Mary Czerwinski (CHI, 2021)

Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels. - Fatemehsadat Mireshghallah; Huseyin A. Inan; Marcello Hasegawa; Victor Rühle; Taylor Berg-Kirkpatrick; Robert Sim (NAACL-HLT, 2021)

Privacy Analysis in Language Models via Training Data Leakage Report. - Huseyin A. Inan; Osman Ramadan; Lukas Wutschitz; Daniel Jones; Victor Rühle; James Withers; Robert Sim (CoRR, 2021)

Privacy Regularization: Joint Privacy-Utility Optimization in Language Models. - Fatemehsadat Mireshghallah; Huseyin A. Inan; Marcello Hasegawa; Victor Rühle; Taylor Berg-Kirkpatrick; Robert Sim (CoRR, 2021)

On Privacy and Confidentiality of Communications in Organizational Graphs. - Masoumeh Shafieinejad; Huseyin A. Inan; Marcello Hasegawa; Robert Sim (CoRR, 2021)

Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning. - Yae Jee Cho; Andre Manoel; Gauri Joshi; Robert Sim; Dimitrios Dimitriadis (IJCAI, 2022)

UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis. - Fatemehsadat Mireshghallah; Vaishnavi Shrivastava; Milad Shokouhi; Taylor Berg-Kirkpatrick; Robert Sim; Dimitrios Dimitriadis (NAACL-HLT, 2022)

FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations. - Dimitrios Dimitriadis; Mirian Hipolito Garcia; Daniel Madrigal Diaz; Andre Manoel; Robert Sim (CoRR, 2022)

Privacy Leakage in Text Classification: A Data Extraction Approach. - Adel Elmahdy; Huseyin A. Inan; Robert Sim (CoRR, 2022)

Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe. - Xiang Yue; Huseyin A. Inan; Xuechen Li; Girish Kumar; Julia McAnallen; Huan Sun 001; David Levitan; Robert Sim (CoRR, 2022)

Understanding Questions that Arise When Working with Business Documents. - Farnaz Jahanbakhsh; Elnaz Nouri; Robert Sim; Ryen W. White; Adam Fourney (Proc. ACM Hum. Comput. Interact., 2022)

Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe. - Xiang Yue; Huseyin A. Inan; Xuechen Li; Girish Kumar; Julia McAnallen; Hoda Shajari; Huan Sun 001; David Levitan; Robert Sim (ACL (1), 2023)

Federated Multilingual Models for Medical Transcript Analysis. - Andre Manoel; Mirian del Carmen Hipolito Garcia; Tal Baumel; Shize Su; Jialei Chen 003; Robert Sim; Dan Miller; Danny Karmon; Dimitrios Dimitriadis (CHIL, 2023)

Federated Learning Toolkit with Voice-based User Verification Demo. - Prathamesh Mandke; Rachel Oberst; Matthias Reisser; Avijit Chakraborty; Christos Louizos; Joseph Soriaga; Daniel Madrigal Diaz; Andre Manoel; Nalin Singal; Jeff Omhover; Robert Sim (INTERSPEECH, 2023)

Analyzing Leakage of Personally Identifiable Information in Language Models. - Nils Lukas; Ahmed Salem 001; Robert Sim; Shruti Tople; Lukas Wutschitz; Santiago Zanella-Béguelin (SP, 2023)

Fed-ZERO: Efficient Zero-shot Personalization with Federated Mixture of Experts. - Chen Dun; Mirian Hipolito Garcia; Guoqing Zheng; Ahmed Hassan Awadallah; Robert Sim; Anastasios Kyrillidis; Dimitrios Dimitriadis (CoRR, 2023)

Project Florida: Federated Learning Made Easy. - Daniel Madrigal Diaz; Andre Manoel; Jialei Chen 003; Nalin Singal; Robert Sim (CoRR, 2023)

Sandi: A System for Accountability and Applications in Direct Communication (Extended Abstract). - F. Betül Durak; Kim Laine; Simon Langowski; Radames Cruz Moreno; Robert Sim; Shrey Jain (CoRR, 2023)

Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing. - Dujian Ding; Ankur Mallick; Chi Wang 001; Robert Sim; Subhabrata Mukherjee; Victor Rühle; Laks V. S. Lakshmanan; Ahmed Hassan Awadallah (ICLR, 2024)

Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation. - Xinyu Tang 003; Richard Shin; Huseyin A. Inan; Andre Manoel; Fatemehsadat Mireshghallah; Zinan Lin 001; Sivakanth Gopi; Janardhan Kulkarni; Robert Sim (ICLR, 2024)

Privately Aligning Language Models with Reinforcement Learning. - Fan Wu; Huseyin A. Inan; Arturs Backurs; Varun Chandrasekaran; Janardhan Kulkarni; Robert Sim (ICLR, 2024)

TrojanPuzzle: Covertly Poisoning Code-Suggestion Models. - Hojjat Aghakhani; Wei Dai 007; Andre Manoel; Xavier Fernandes; Anant Kharkar; Christopher Kruegel; Giovanni Vigna; David Evans 001; Ben Zorn 001; Robert Sim (SP, 2024)

Differentially Private Training of Mixture of Experts Models. - Pierre Tholoniat; Huseyin A. Inan; Janardhan Kulkarni; Robert Sim (CoRR, 2024)

Controllable Synthetic Clinical Note Generation with Privacy Guarantees. - Tal Baumel; Andre Manoel; Daniel Jones; Shize Su; Huseyin A. Inan; Aaron Bornstein; Robert Sim (CoRR, 2024)

VLMGuard: Defending VLMs against Malicious Prompts via Unlabeled Data. - Xuefeng Du; Reshmi Ghosh; Robert Sim; Ahmed Salem; Vitor Carvalho; Emily Lawton; Yixuan Li 001; Jack W. Stokes (CoRR, 2024)

Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation. - Chen Dun; Mirian del Carmen Hipolito Garcia; Guoqing Zheng; Ahmed Hassan Awadallah; Robert Sim; Anastasios Kyrillidis (AAAI, 2025)

Exploring How LLMs Capture and Represent Domain-Specific Knowledge. - Mirian Hipolito Garcia; Camille Couturier; Daniel Madrigal Diaz; Ankur Mallick; Anastasios Kyrillidis; Robert Sim; Victor Rühle; Saravan Rajmohan (CoRR, 2025)

Contextual Integrity in LLMs via Reasoning and Reinforcement Learning. - Guangchen Lan; Huseyin A. Inan; Sahar Abdelnabi; Janardhan Kulkarni; Lukas Wutschitz; Reza Shokri; Christopher G. Brinton; Robert Sim (CoRR, 2025)

TinyTroupe: An LLM-powered Multiagent Persona Simulation Toolkit. - Paulo Salem; Robert Sim; Christopher Olsen; Prerit Saxena; Rafael Barcelos; Yi Ding (CoRR, 2025)