Daniel M. Steinberg

According to our database, Daniel M. Steinberg authored at least 17 papers between 2010 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Active Flow Matching.

Yashvir S. Grewal, Daniel M. Steinberg, Thang D. Bui, Cheng Soon Ong, Edwin V. Bonilla

CoRR, March, 2026

Flowette: Flow Matching with Graphette Priors for Graph Generation.

Asiri Wijesinghe, Sevvandi Kandanaarachchi, Daniel M. Steinberg, Cheng Soon Ong

CoRR, February, 2026

Causal Preference Elicitation.

Edwin V. Bonilla, He Zhao, Daniel M. Steinberg

CoRR, February, 2026

2025

Generative Bayesian Optimization: Generative Models as Acquisition Functions.

Rafael Oliveira, Daniel M. Steinberg, Edwin V. Bonilla

CoRR, October, 2025

Amortized Active Generation of Pareto Sets.

Daniel M. Steinberg, Asiri Wijesinghe, Rafael Oliveira, Piotr Koniusz, Cheng Soon Ong, Edwin V. Bonilla

CoRR, October, 2025

Variational Search Distributions.

Daniel M. Steinberg, Rafael Oliveira, Cheng Soon Ong, Edwin V. Bonilla

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Protein Fitness Landscape: Spectral Graph Theory Perspective.

Hao Zhu, Daniel M. Steinberg, Piotr Koniusz

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2016

Reflections on a decade of autonomous underwater vehicles operations for marine survey at the Australian Centre for Field Robotics.

Stefan B. Williams, Oscar Pizarro, Daniel M. Steinberg, Ariell Friedman, Mitch Bryson

Annu. Rev. Control., 2016

Extended and Unscented Kitchen Sinks.

Edwin V. Bonilla, Daniel M. Steinberg, Alistair Reid

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Hierarchical Bayesian models for unsupervised scene understanding.

Daniel M. Steinberg, Oscar Pizarro, Stefan B. Williams

Comput. Vis. Image Underst., 2015

2014

Extended and Unscented Gaussian Processes.

Daniel M. Steinberg, Edwin V. Bonilla

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

An Unsupervised Approach to Modelling Visual Data.

Daniel M. Steinberg

PhD thesis, 2013

Synergistic Clustering of Image and Segment Descriptors for Unsupervised Scene Understanding.

Daniel M. Steinberg, Oscar Pizarro, Stefan B. Williams

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Monitoring of Benthic Reference Sites: Using an Autonomous Underwater Vehicle.

Stefan B. Williams, Oscar Pizarro, Michael V. Jakuba, Craig R. Johnson, Neville Barrett, Russel C. Babcock, Gary A. Kendrick, Peter D. Steinberg, Andrew J. Heyward, Peter J. Doherty, Ian Mahon, Matthew Johnson-Roberson, Daniel M. Steinberg, Ariell Friedman

IEEE Robotics Autom. Mag., 2012

2011

Toward automatic classification of chemical sensor data from autonomous underwater vehicles.

Michael V. Jakuba, Daniel M. Steinberg, James C. Kinsey, Dana R. Yoerger, Richard Camilli, Oscar Pizarro, Stefan B. Williams

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Active learning using a Variational Dirichlet Process model for pre-clustering and classification of underwater stereo imagery.

Ariell Friedman, Daniel M. Steinberg, Oscar Pizarro, Stefan B. Williams

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

2010

Towards autonomous habitat classification using Gaussian Mixture Models.

Daniel M. Steinberg, Stefan B. Williams, Oscar Pizarro, Michael V. Jakuba

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010