Nicholas Ruozzi

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 40

Top Topics

Activity Recognition

Top Venues

Publications

Benjamin Rheault, Shivvrat Arya, Akshay Vyas, Jikai Wang, Rohith Peddi, Brett Benda, Vibhav Gogate, Nicholas Ruozzi, Yu Xiang, Eric D. Ragan
Predictive Task Guidance with Artificial Intelligence in Augmented Reality. VR Workshops (2024)
Yangxiao Lu, Jishnu Jaykumar P, Yunhui Guo, Nicholas Ruozzi, Yu Xiang
Adapting Pre-Trained Vision Models for Novel Instance Detection and Segmentation. CoRR (2024)
Yangxiao Lu, Yuqiao Chen, Nicholas Ruozzi, Yu Xiang
Mean Shift Mask Transformer for Unseen Object Instance Segmentation. ICRA (2024)
Chiradeep Roy, Mahsan Nourani, Shivvrat Arya, Mahesh Shanbhag, Tahrima Rahman, Eric D. Ragan, Nicholas Ruozzi, Vibhav Gogate
Explainable Activity Recognition in Videos using Deep Learning and Tractable Probabilistic Models. ACM Trans. Interact. Intell. Syst. 13 (4) (2023)
Yangxiao Lu, Ninad Khargonkar, Zesheng Xu, Charles Averill, Kamalesh Palanisamy, Kaiyu Hang, Yunhui Guo, Nicholas Ruozzi, Yu Xiang
Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction. CoRR (2023)
Alec G. Moore, Tiffany D. Do, Nicholas Ruozzi, Ryan P. McMahan
Identifying Virtual Reality Users Across Domain-Specific Tasks: A Systematic Investigation of Tracked Features for Assembly. ISMAR (2023)
Yangxiao Lu, Ninad A. Khargonkar, Zesheng Xu, Charles Averill, Kamalesh Palanisamy, Kaiyu Hang, Yunhui Guo, Nicholas Ruozzi, Yu Xiang
Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction. Robotics: Science and Systems (2023)
Hailiang Dong, James Amato, Vibhav Gogate, Nicholas Ruozzi
A New Modeling Framework for Continuous, Sequential Domains. AISTATS (2023)
Rohith Peddi, Shivvrat Arya, Bharath Challa, Likhitha Pallapothula, Akshay Vyas, Jikai Wang, Qifan Zhang, Vasundhara Komaragiri, Eric D. Ragan, Nicholas Ruozzi, Yu Xiang, Vibhav Gogate
CaptainCook4D: A dataset for understanding errors in procedural activities. CoRR (2023)
Yangxiao Lu, Yuqiao Chen, Nicholas Ruozzi, Yu Xiang
Mean Shift Mask Transformer for Unseen Object Instance Segmentation. CoRR (2022)
Yuqiao Chen, Sriraam Natarajan, Nicholas Ruozzi
Relational Neural Markov Random Fields. AISTATS (2022)
Hao Xiong, Yangxiao Lu, Nicholas Ruozzi
Boosting the Performance of Generic Deep Neural Network Frameworks with Log-supermodular CRFs. NeurIPS (2022)
Péter Csikvári, Nicholas Ruozzi, Shahab Shams
Markov Random Fields, Homomorphism Counting, and Sidorenko's Conjecture. IEEE Trans. Inf. Theory 68 (9) (2022)
Hailiang Dong, Chiradeep Roy, Tahrima Rahman, Vibhav Gogate, Nicholas Ruozzi
Conditionally Tractable Density Estimation using Neural Networks. AISTATS (2022)
Alec G. Moore, Ryan P. McMahan, Hailiang Dong, Nicholas Ruozzi
Personal Identifiability and Obfuscation of User Tracking Data From VR Training Sessions. ISMAR (2021)
Alec G. Moore, Ryan P. McMahan, Nicholas Ruozzi
Exploration of Feature Representations for Predicting Learning and Retention Outcomes in a VR Training Scenario. Big Data Cogn. Comput. 5 (3) (2021)
Yuqiao Chen, Sriraam Natarajan, Nicholas Ruozzi
Relational Neural Markov Random Fields. CoRR (2021)
Chiradeep Roy, Tahrima Rahman, Hailiang Dong, Nicholas Ruozzi, Vibhav Gogate
Dynamic Cutset Networks. AISTATS (2021)
Alec G. Moore, Ryan P. McMahan, Hailiang Dong, Nicholas Ruozzi
Personal Identifiability of User Tracking Data During VR Training. VR Workshops (2021)
Yuqiao Chen, Yibo Yang, Sriraam Natarajan, Nicholas Ruozzi
Lifted Hybrid Variational Inference. IJCAI (2020)
Alec G. Moore, Ryan P. McMahan, Hailiang Dong, Nicholas Ruozzi
Extracting Velocity-Based User-Tracking Features to Predict Learning Gains in a Virtual Reality Training Application. ISMAR (2020)
Yuqiao Chen, Yibo Yang, Sriraam Natarajan, Nicholas Ruozzi
Lifted Hybrid Variational Inference. CoRR (2020)
Hao Xiong, Nicholas Ruozzi
General Purpose MRF Learning with Neural Network Potentials. IJCAI (2020)
Mahsan Nourani, Chiradeep Roy, Tahrima Rahman, Eric D. Ragan, Nicholas Ruozzi, Vibhav Gogate
Don't Explain without Verifying Veracity: An Evaluation of Explainable AI with Video Activity Recognition. CoRR (2020)
Da Tang, Dawen Liang, Nicholas Ruozzi, Tony Jebara
Learning Correlated Latent Representations with Adaptive Priors. CoRR (2019)
Shahab Shams, Nicholas Ruozzi, Péter Csikvári
Counting Homomorphisms in Bipartite Graphs. ISIT (2019)
Da Tang, Dawen Liang, Tony Jebara, Nicholas Ruozzi
Correlated Variational Auto-Encoders. ICML (2019)
Yuqiao Chen, Nicholas Ruozzi, Sriraam Natarajan
Lifted Message Passing for Hybrid Probabilistic Inference. IJCAI (2019)
Chiradeep Roy, Mahesh Shanbhag, Mahsan Nourani, Tahrima Rahman, Samia Kabir, Vibhav Gogate, Nicholas Ruozzi, Eric D. Ragan
Explainable Activity Recognition in Videos. IUI Workshops (2019)
Da Tang, Dawen Liang, Tony Jebara, Nicholas Ruozzi
Correlated Variational Auto-Encoders. DGS@ICLR (2019)
Hao Xiong, Yuanzhen Guo, Yibo Yang, Nicholas Ruozzi
One-Shot Inference in Markov Random Fields. UAI (2019)
Yuanzhen Guo, Hao Xiong, Nicholas Ruozzi
Marginal Inference in Continuous Markov Random Fields Using Mixtures. AAAI (2019)
Da Tang, Dawen Liang, Tony Jebara, Nicholas Ruozzi
Correlated Variational Auto-Encoders. CoRR (2019)
Yibo Yang, Nicholas Ruozzi, Vibhav Gogate
Scalable Neural Network Compression and Pruning Using Hard Clustering and L1 Regularization. CoRR (2018)
Li Chou, Pracheta Sahoo, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate
Automatic Parameter Tying: A New Approach for Regularized Parameter Learning in Markov Networks. AAAI (2018)
Somdeb Sarkhel, Deepak Venugopal, Nicholas Ruozzi, Vibhav Gogate
Efficient Inference for Untied MLNs. IJCAI (2017)
Greg Van Buskirk, Benjamin Raichel, Nicholas Ruozzi
Sparse Approximate Conic Hulls. NIPS (2017)
Nicholas Ruozzi
A Lower Bound on the Partition Function of Attractive Graphical Models in the Continuous Case. AISTATS (2017)
Li Chou, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate
On Parameter Tying by Quantization. AAAI (2016)
Kui Tang, Nicholas Ruozzi, David Belanger, Tony Jebara
Bethe Learning of Graphical Models via MAP Decoding. AISTATS (2016)
Khaled Al-Naami, Gbadebo Ayoade, Asim Siddiqui, Nicholas Ruozzi, Latifur Khan, Bhavani M. Thuraisingham
P2V: Effective Website Fingerprinting Using Vector Space Representations. SSCI (2015)
Nicholas Ruozzi
Exactness of Approximate MAP Inference in Continuous MRFs. NIPS (2015)
Kui Tang, Nicholas Ruozzi, David Belanger, Tony Jebara
Bethe Learning of Conditional Random Fields via MAP Decoding. CoRR (2015)
Nicholas Ruozzi, Tony Jebara
Making Pairwise Binary Graphical Models Attractive. NIPS (2014)
Nicholas Ruozzi
Beyond Log-Supermodularity: Lower Bounds and the Bethe Partition Function. UAI (2013)
Nicholas Ruozzi, Sekhar Tatikonda
Message-passing algorithms for quadratic minimization. J. Mach. Learn. Res. 14 (1) (2013)
Nicholas Ruozzi
Beyond Log-Supermodularity: Lower Bounds and the Bethe Partition Function. CoRR (2013)
Nicholas Ruozzi, Sekhar Tatikonda
Message-Passing Algorithms: Reparameterizations and Splittings. IEEE Trans. Inf. Theory 59 (9) (2013)
Nicholas Ruozzi
Convergent message-passing algorithms in the presence of erasures. Allerton Conference (2012)
Nicholas Ruozzi
The Bethe Partition Function of Log-supermodular Graphical Models. NIPS (2012)
Nicholas Ruozzi, Sekhar Tatikonda
Message-Passing Algorithms for Quadratic Minimization CoRR (2012)
Nicholas Ruozzi
The Bethe Partition Function of Log-supermodular Graphical Models CoRR (2012)
Nicholas Ruozzi, Sekhar Tatikonda
Convergent and Correct Message Passing Schemes for Optimization Problems over Graphical Models. UAI (2010)
Nicholas Ruozzi, Sekhar Tatikonda
Unconstrained minimization of quadratic functions via min-sum. CISS (2010)
Nicholas Ruozzi, Sekhar Tatikonda
Convergent and Correct Message Passing Schemes for Optimization Problems over Graphical Models CoRR (2010)
Dexter Kozen, Nicholas Ruozzi
Applications of Metric Coinduction Log. Methods Comput. Sci. 5 (3) (2009)
Nicholas Ruozzi, Justin Thaler, Sekhar Tatikonda
Graph covers and quadratic minimization. Allerton (2009)
Nicholas Ruozzi, Sekhar Tatikonda
s-t paths using the min-sum algorithm. Allerton (2008)
Dexter Kozen, Nicholas Ruozzi
Applications of Metric Coinduction. CALCO (2007)