The pdf files available below are either via links to the publishers website or are preprints produced prior to publication. Preprints may differ from the final published version of the work. Please check the publisher's website to obtain a copy of the final version.

For a complete list of publications, please check the google scholar profile of Peter Ramadge.

• Hossein Valavi, Peter J. Ramadge, An Upper Bound On The Required Size Of A Neural Network Classifier, Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, 2018.
• Hejia Zhang, Po-Hsuan Chen, and Peter J. Ramadge, Transfer Learning on fMRI Datasets, Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS) 2018, Lanzarote, Spain. PMLR: Volume 84.

• K. Vodrahalli, Po-Hsuan Chen, Yingyu Liang, C. Baldassano, Janice Chen, Esther Yong, C. Honey, U. Hasson, P.J. Ramadge, K.A. Norman, Sanjeev Arora, Mapping Between fMRI Responses to Movies and their Natural Language Annotations, NeuroImage, online 23 June 2017. [ ScienceDirect ]

• Javier S. Turek, Theodore L. Willke, Po-Hsuan Chen, Peter J. Ramadge, A Semi-Supervised Method for Multi-subject fMRI Functional Alignment, Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, 2017.

• Jonathan D Cohen, Nathaniel Daw, Barbara Engelhardt, Uri Hasson, Kai Li, Yael Niv, Kenneth A. Norman, Jonathan Pillow, Peter J. Ramadge, Nicholas B. Turk-Browne, and Theodore L. Willke, Computational Approaches to fMRI Analysis, Nature Neuroscience, Volume 20, No 3, March 2017. [ Nature Neuroscience ]

• Carolyn L. Chen, Jeffrey O. Snyder, Peter J. Ramadge, Learning to Identify Container Contents Through Tactile Vibration Signatures, Proc. 2016 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots, Dec 13-16, 2016. (Selected as one of the top seven papers at the conference).

• Michael J. Anderson, Mihai Capota, Javier S. Turek, Xia Zhu, Theodore L. Willke, Yida Wang, Po-Hsuan Chen, Jeremy R. Manning, Peter J. Ramadge, Kenneth A. Norman. Enabling Factor Analysis on Thousand-Subject Neuroimaging Datasets, IEEE International Conference on Big Data, Dec. 5-8, 2016. An earlier version appears as [ arXiv:1608.04647 [stat.ML] ]

• Hejia Zhang, Po-Hsuan Chen, Janice Chen, Xia Zhu, Javier S. Turek, Theodore L. Willke, Uri Hasson, Peter J. Ramadge, A Searchlight Factor Model Approach for Locating Shared Information in Multi-Subject fMRI Analysis, Sept 2016. [ arXiv:1609.09432 [stat.ML] ]

• Po-Hsuan Chen, Xia Zhu, Hejia Zhang, Javier S. Turek, Janice Chen, Theodore L. Willke, Uri Hasson, Peter J. Ramadge, A Convolutional Autoencoder for Multi-Subject fMRI Data Aggregation, Department of Electrical Engineering, Princeton University, June 2016. [ arXiv:1608.04846 [stat.ML] ].

• Zhen James Xiang, Yun Wang, Peter J. Ramadge, Screening Tests for Lasso Problems, IEEE Trans. Pattern Analysis and Machine Intelligence, 12 May, 2016 (on-line), DOI: 10.1109/TPAMI.2016.2568185. [ IEEE Xplore ].

• J. Swaroop Guntupalli, Michael Hanke, Yaroslav O. Halchenko, Andrew C. Connolly, Peter J. Ramadge, James V. Haxby, A Model of Representational Spaces in Human Cortex, Cerebral Cortex Advance Access published March 14, 2016, Cerebral Cortex, 2016, 1–16, doi: 10.1093/cercor/bhw068.

• Po-Hsuan Chen, Janice Chen, Yaara Yeshurun-Dishon, Uri Hasson, James V. Haxby, Peter J. Ramadge, A Reduced-Dimension fMRI Shared Response Model, Advances in Neural Information Processing Systems 2015 [one of 15 papers accepted for oral presentation].

• Po-Hsuan Chen, J. S. Guntupalli, J. V. Haxby, and P. J. Ramadge, Joint SVD-Hyperalignment for Multi-Subject fMRI Data Alignment, IEEE International Workshop on Machine Learning for Signal Processing, October, 2014.

• Zhen James Xiang, Yun Wang, and P. J. Ramadge, Screening Tests for Lasso Problems, Department of Electrical Engineering, Princeton University, May, 2014. [ arXiv:1405.4897 ]

• Xu Chen and P. J. Ramadge, Collaborative Representation, Sparsity or Nonlinearity: What is Key to Dictionary Based Classification?, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2014. [ preprint ]

• Yun Wang, Xu Chen and P. J. Ramadge, Sparse Representation Classification via Sequential Lasso Screening, 1st IEEE Global Conf. on Signal and Information Processing (Global SIP), Dec. 3-5, 2013. [ IEEE Xplore ]

• B. Conroy, B. D. Singer, J. S. Guntupalli, P. J. Ramadge, and J. V. Haxby, Inter-subject alignment of human cortical anatomy using functional connectivity, NeuroImage, Vol. 81, 1 November 2013, Pages 400–411 2013. [ NeuroImage pdf ]

• Hao Xu, D. J. Eis and P. J. Ramadge, The Generalized Lasso Is Reducible To A Subspace Constrained Lasso, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2013. [ IEEE Xplore ]

• Yun Wang, Zhen J. Xiang and P. J. Ramadge, Lasso Screening With A Small Regularization Parameter, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2013. [ IEEE Xplore ]

• Yun Wang, Zhen J. Xiang and P. J. Ramadge, Tradeoffs In Improved Screening Of Lasso Problems, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2013. [ IEEE Xplore ]

• Hao Wu and P. J. Ramadge, The 2-Codeword Screening Test For Lasso Problems, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2013.

• Pingmei Xu and P. J. Ramadge, Three Structural Results On The Lasso Problem, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2013. [ IEEE Xplore ]

• Pingmei Xu, Hao Xu, P. J. Ramadge, Detecting Stimulus Driven Changes in Functional Brain Connectivity, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2013.

• A. Lorbert, P. J. Ramadge, The Pairwise Elastic Net Support Vector Machine for Automatic fMRI Feature Selection, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2013. [ IEEE Xplore ]

• A. Lorbert, J. S. Guntupalli, D. J. Eis, J. V. Haxby, P. J. Ramadge, Collaborative Denoising of Multi-Subject fMRI Data, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2013. [ IEEE Xplore ]

• Xu Chen and P. J. Ramadge, Music Genre Classification Using Multiscale Scattering and Sparse Representations, 47th Conference on Information Sciences and Systems (CISS 2013), Johns Hopkins Univ., March 2013. [ IEEE Xplore ]

• A. Lorbert, P. J. Ramadge, Kernel Hyperalignment, Advances in Neural Information Processing Systems 25 edited by P. Bartlett and F.C.N. Pereira and C.J.C. Burges and L. Bottou and K.Q. Weinberger (2012). [Selected for Spotlight Presentation]) (25% acceptance rate, 20% of accepted papers selected for spotlight presentation) [ pdf | bibtex | supplemental ]

• A. Lorbert, D. M. Blei, R. E. Schapire, and P. J. Ramadge, A Bayesian Boosting Model, arXiv 2012 [ arXiv:1209.1996 ].

• Hao Xu, A. Lorbert, P. J. Ramadge, J. S. Guntupalli, and J. V. Haxby, Regularized Hyperalignment of Multi-set fMRI Data, Proceedings of the 2012 IEEE Signal Processing Workshop, Ann Arbor Michigan. [ IEEE Xplore ]

• Zhen J. Xiang, and P. J. Ramadge, Edge Preserving Image Regularization Based on Morphological Wavelets and Dyadic Trees, IEEE Transactions on Image Processing, April 2012. [ IEEE Xplore ]

• Zhen J. Xiang and P. J. Ramadge, Fast lasso screening tests based on correlations, IEEE Int. Conference on Acoustics, Speech and Signal Processing, Kyoto, 2012. [ IEEE Xplore ]

• Zhen James Xiang, Hao Xu, and Peter J. Ramadge, Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries, Twenty-Fifth Annual Conference on Neural Information Processing Systems, Granada, Spain, 2011. [Selected for Oral Presentation] (22% acceptance rate; 7% of accepted papers selected for oral presentation.) (Honorable Mention - Outstanding Student Paper Award) [ pdf | bibtex | supplemental ]

• James V. Haxby, J. Swaroop Guntupalli, Andrew C. Connolly, Yaroslav O. Halchenko, Bryan R. Conroy, M. Ida Gobbini, Michael Hanke, Peter J. Ramadge, A Common, High-Dimensional Model of the Representational Space in Human Ventral Temporal Cortex, Neuron, Volume 72, Issue 2, 20 October 2011, Pages 404-416. [ ScienceDirect ] [ Preview by Frank Tong ]

• Zhen James Xiang, Zhuo Zhang, Pingmei Xu, Peter J. Ramadge, Learning a Wavelet Tree For Multichannel Image Denoising, IEEE Int. Conference on Image Processing, Brussels, 2011.

• B. Conroy and P. J. Ramadge, The grouped two-sided orthogonal procrustes problem, IEEE Int. Conf. on Acoustics, Speech & Signal Processing, Prague, 2011. [ IEEE Xplore ]

• H. Xu, Y. T. Xi, R. Lee and P. J. Ramadge, Real-time conjugate gradients for on-line fMRI classification, IEEE Int. Conf. on Acoustics, Speech & Signal Processing, Prague, 2011. [ IEEE Xplore ]

• A. Lorbert and P. J. Ramadge, The rotational lasso, IEEE Int. Conf. on Acoustics, Speech & Signal Processing, Prague, 2011. [ IEEE Xplore ]

• Y. T. Xi, H. Xu, R. Lee and P. J. Ramadge, On-line kernel SVM for real-time fMRI brain state prediction, IEEE Int. Conf. on Acoustics, Speech & Signal Processing, Prague, 2011. [ IEEE Xplore ]

• Z. J. Xiang and P. J. Ramadge, Morphological wavelet transform with adaptive dyadic structures, IEEE Int. Conf. on Image Processing, Hong Kong, 2010. [ IEEE Xplore ]

• A. Lorbert and P. J. Ramadge, Descent methods for tuning parameter refinement, Thirteenth AISTATS; 9:469-476, 2010. [ pdf ]

• A. Lorbert, D. Eis, V. Kostina, D. Blei, P. J. Ramadge, Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net, Thirteenth AISTATS; 9:477-484, 2010. [ pdf ]

• E. Brevdo and P. J. Ramadge, Bridge detection and robust geodesics estimation via random walks, IEEE Int. Conference on Acoustics, Speech & Signal Processing, Dallas, Texas, March 2010. [ IEEE Xplore ]

• Z. J. Xiang and P. J. Ramadge, Morphological wavelets and the complexity of dyadic trees, IEEE Int. Conference on Acoustics, Speech & Signal Processing, Dallas, Texas, March 2010. [ IEEE Xplore ]

• B. Conroy, Y. T. Xi, P. J. Ramadge, A supervisory approach to semi-supervised clustering, IEEE Int. Conference on Acoustics, Speech & Signal Processing, Dallas, Texas, March 2010. [ IEEE Xplore ]

• A. Lorbert and P. J. Ramadge, Level set estimation on the sphere, IEEE Int. Conference on Acoustics, Speech & Signal Processing, Dallas, Texas, March 2010. [ IEEE Xplore ]

• Z. J. Xiang, Y. T. Xi, U. Hasson and P. J. Ramadge, Boosting with spatial regularization, In Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, and A. Culotta, editors, Advances in Neural Information Processing Systems 22, pages 378–386. 2009. Spotlight paper [33% of accepted papers selected for spotlight presentation]. [ NIPS09|bibtex ]

• B. Conroy, B. Singer, J. Haxby, and P. J. Ramadge. fMRI-based inter-subject cortical alignment using functional connectivity. In Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, and A. Culotta, editors, Advances in Neural Information Processing Systems 22, pages 378–386. 2009. [ NIPS09|bibtex ]

• Y. T. Xi and P. J. Ramadge, Using Sparse Regression to Learn Effective Projections for Face Recognition, ICIP, Cairo, Egypt, Oct., 2009. [ IEEE Xplore ]

• M. Sabuncu, B. Singer, B. Conroy, P. J. Ramadge and J. Haxby, Function-based inter-subject alignment of human cortical anatomy, Cerebral Cortex, 2009. [ paper | code ]

• S. M. Hughes and P. J. Ramadge, Connecting spectral and spring methods for manifold learning, IEEE Int. Conference on Acoustics, Speech & Signal Processing, April 2009, Taipei, Taiwan. (Best Student Paper Award) [ IEEE Xplore ]

• Z. J. Xiang and P. J. Ramadge, Sparse boosting, IEEE Int. Conference on Acoustics, Speech & Signal Processing, April 2009, Taipei, Taiwan. [ IEEE Xplore ]

• Y. T. Xi and P. J. Ramadge, Separable PCA for image classification, IEEE Int. Conference on Acoustics, Speech & Signal Processing, April 2009, Taipei, Taiwan. [ IEEE Xplore ]

• Y. T. Xi, Z. J. Xiang, P. Ramadge and R. Schapire, Speed and sparsity of regularized boosting, AISTATS, April 14-18, 2009, Clearwater Beach, Florida. [ pdf ]