Peter J. Ramadge

According to our database, Peter J. Ramadge authored at least 109 papers between 1981 and 2024.

Collaborative distances:

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

2024

Generative Marginalization Models.

Sulin Liu, Peter J. Ramadge, Ryan P. Adams

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Fast, Smooth, and Safe: Implicit Control Barrier Functions Through Reach-Avoid Differential Dynamic Programming.

Athindran Ramesh Kumar, Kai-Chieh Hsu, Peter J. Ramadge, Jaime F. Fisac

IEEE Control. Syst. Lett., 2023

Transformer Working Memory Enables Regular Language Reasoning And Natural Language Length Extrapolation.

Ta-Chung Chi, Ting-Han Fan, Alexander Rudnicky, Peter J. Ramadge

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Dissecting Transformer Length Extrapolation via the Lens of Receptive Field Analysis.

Ta-Chung Chi, Ting-Han Fan, Alexander Rudnicky, Peter J. Ramadge

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings.

Ta-Chung Chi, Ting-Han Fan, Li-Wei Chen, Alexander Rudnicky, Peter J. Ramadge

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Expert Intervention Learning.

Jonathan C. Spencer, Sanjiban Choudhury, Matthew Barnes, Matthew Schmittle, Mung Chiang, Peter J. Ramadge, Siddhartha S. Srinivasa

Auton. Robots, 2022

Learning Physics Constrained Dynamics Using Autoencoders.

Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation.

Ta-Chung Chi, Ting-Han Fan, Peter J. Ramadge, Alexander Rudnicky

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Training Discrete Deep Generative Models via Gapped Straight-Through Estimator.

Ting-Han Fan, Ta-Chung Chi, Alexander I. Rudnicky, Peter J. Ramadge

Proceedings of the International Conference on Machine Learning, 2022

Safety Control for Prime Focus Spectrograph.

Ting-Han Fan, Athindran Ramesh Kumar, Peter J. Ramadge

Proceedings of the 56th Annual Conference on Information Sciences and Systems, 2022

2021

ProBF: Learning Probabilistic Safety Certificates with Barrier Functions.

Athindran Ramesh Kumar, Sulin Liu, Jaime F. Fisac, Ryan P. Adams, Peter J. Ramadge

CoRR, 2021

Explaining Off-Policy Actor-Critic From A Bias-Variance Perspective.

Ting-Han Fan, Peter J. Ramadge

CoRR, 2021

Safe Reinforcement Learning with Natural Language Constraints.

Tsung-Yen Yang, Michael Y. Hu, Yinlam Chow, Peter J. Ramadge, Karthik Narasimhan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies.

Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge

Proceedings of the 38th International Conference on Machine Learning, 2021

DiffLoop: Tuning PID Controllers by Differentiating Through the Feedback Loop.

Athindran Ramesh Kumar, Peter J. Ramadge

Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

An Experimental Study of Balance in Matrix Factorization.

Jennifer Hsia, Peter J. Ramadge

Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

Learning to Control Using a Convex Combination of Controllers.

Athindran Ramesh Kumar, Peter J. Ramadge

Proceedings of the 2021 American Control Conference, 2021

A Contraction Approach to Model-based Reinforcement Learning.

Ting-Han Fan, Peter J. Ramadge

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis.

Manoj Kumar, Cameron T. Ellis, Qihong Lu, Hejia Zhang, Mihai Capota, Theodore L. Willke, Peter J. Ramadge, Nicholas B. Turk-Browne, Kenneth A. Norman

PLoS Comput. Biol., 2020

Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies.

Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge

CoRR, 2020

The Landscape of Matrix Factorization Revisited.

Hossein Valavi, Sulin Liu, Peter J. Ramadge

CoRR, 2020

Learning from Interventions: Human-robot interaction as both explicit and implicit feedback.

Jonathan C. Spencer, Sanjiban Choudhury, Matt Barnes, Matthew Schmittle, Mung Chiang, Peter J. Ramadge, Siddhartha S. Srinivasa

Proceedings of the Robotics: Science and Systems XVI, 2020

Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters.

Sulin Liu, Xingyuan Sun, Peter J. Ramadge, Ryan P. Adams

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Projection-Based Constrained Policy Optimization.

Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge

Proceedings of the 8th International Conference on Learning Representations, 2020

Revisiting the Landscape of Matrix Factorization.

Hossein Valavi, Sulin Liu, Peter J. Ramadge

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

A 64-Tile 2.4-Mb In-Memory-Computing CNN Accelerator Employing Charge-Domain Compute.

Hossein Valavi, Peter J. Ramadge, Eric Nestler, Naveen Verma

IEEE J. Solid State Circuits, 2019

Model Imitation for Model-Based Reinforcement Learning.

Yueh-Hua Wu, Ting-Han Fan, Peter J. Ramadge, Hao Su

CoRR, 2019

Multi-dataset Low-rank Matrix Factorization.

Hossein Valavi, Peter J. Ramadge

Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019

2018

Mapping between fMRI responses to movies and their natural language annotations.

Kiran Vodrahalli, Po-Hsuan Chen, Yingyu Liang, Christopher Baldassano, Janice Chen, Esther Yong, Christopher J. Honey, Uri Hasson, Peter J. Ramadge, Kenneth A. Norman, Sanjeev Arora

NeuroImage, 2018

Shared Representational Geometry Across Neural Networks.

Qihong Lu, Po-Hsuan Chen, Jonathan W. Pillow, Peter J. Ramadge, Kenneth A. Norman, Uri Hasson

CoRR, 2018

A Mixed-Signal Binarized Convolutional-Neural-Network Accelerator Integrating Dense Weight Storage and Multiplication for Reduced Data Movement.

Hossein Valavi, Peter J. Ramadge, Eric Nestler, Naveen Verma

Proceedings of the 2018 IEEE Symposium on VLSI Circuits, 2018

An Upper-Bound on the Required Size of a Neural Network Classifier.

Hossein Valavi, Peter J. Ramadge

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Contact Surface Area: A Novel Signal for Heart Rate Estimation in Smartphone Videos.

Sara Fridovich-Keil, Peter J. Ramadge

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Measuring representational similarity across neural networks.

Qihong Lu, Peter J. Ramadge, Kenneth A. Norman, Uri Hasson

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Transfer Learning on fMRI Datasets.

Hejia Zhang, Po-Hsuan Chen, Peter J. Ramadge

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Screening Tests for Lasso Problems.

Zhen James Xiang, Yun Wang, Peter J. Ramadge

IEEE Trans. Pattern Anal. Mach. Intell., 2017

A semi-supervised method for multi-subject FMRI functional alignment.

Javier S. Turek, Theodore L. Willke, Po-Hsuan Chen, Peter J. Ramadge

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

A Searchlight Factor Model Approach for Locating Shared Information in Multi-Subject fMRI Analysis.

Hejia Zhang, Po-Hsuan Chen, Janice Chen, Xia Zhu, Javier S. Turek, Theodore L. Willke, Uri Hasson, Peter J. Ramadge

CoRR, 2016

The Symmetry of a Simple Optimization Problem in Lasso Screening.

Yun Wang, Peter J. Ramadge

CoRR, 2016

Feedback-Controlled Sequential Lasso Screening.

Yun Wang, Xu Chen, Peter J. Ramadge

CoRR, 2016

Mapping Between Natural Movie fMRI Responses and Word-Sequence Representations.

Kiran Vodrahalli, Po-Hsuan Chen, Yingyu Liang, Janice Chen, Esther Yong, Christopher J. Honey, Peter J. Ramadge, Kenneth A. Norman, Sanjeev Arora

CoRR, 2016

A Convolutional Autoencoder for Multi-Subject fMRI Data Aggregation.

Po-Hsuan Chen, Xia Zhu, Hejia Zhang, Javier S. Turek, Janice Chen, Theodore L. Willke, Uri Hasson, Peter J. Ramadge

CoRR, 2016

Learning to identify container contents through tactile vibration signatures.

Carolyn L. Chen, Jeffrey O. Snyder, Peter J. Ramadge

Proceedings of the 2016 IEEE International Conference on Simulation, 2016

Enabling factor analysis on thousand-subject neuroimaging datasets.

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

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

A Reduced-Dimension fMRI Shared Response Model.

Po-Hsuan Chen, Janice Chen, Yaara Yeshurun, Uri Hasson, James V. Haxby, Peter J. Ramadge

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Joint SVD-Hyperalignment for multi-subject FMRI data alignment.

Po-Hsuan Chen, J. Swaroop Guntupalli, James V. Haxby, Peter J. Ramadge

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Collaborative representation, sparsity or nonlinearity: What is key to dictionary based classification?

Xu Chen, Peter J. Ramadge

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Inter-subject alignment of human cortical anatomy using functional connectivity.

Bryan R. Conroy, Benjamin D. Singer, J. Swaroop Guntupalli, Peter J. Ramadge, James V. Haxby

NeuroImage, 2013

Detecting stimulus driven changes in functional brain connectivity.

Pingmei Xu, Hao Xu, Peter J. Ramadge

Proceedings of the IEEE International Conference on Acoustics, 2013

Three structural results on the lasso problem.

Pingmei Xu, Peter J. Ramadge

Proceedings of the IEEE International Conference on Acoustics, 2013

The generalized lasso is reducible to a subspace constrained lasso.

Hao Xu, David J. Eis, Peter J. Ramadge

Proceedings of the IEEE International Conference on Acoustics, 2013

The 2-codeword screening test for lasso problems.

Hao Wu, Peter J. Ramadge

Proceedings of the IEEE International Conference on Acoustics, 2013

Lasso screening with a small regularization parameter.

Yun Wang, Zhen James Xiang, Peter J. Ramadge

Proceedings of the IEEE International Conference on Acoustics, 2013

Tradeoffs in improved screening of lasso problems.

Yun Wang, Zhen James Xiang, Peter J. Ramadge

Proceedings of the IEEE International Conference on Acoustics, 2013

The Pairwise Elastic Net support vector machine for automatic fMRI feature selection.

Alexander Lorbert, Peter J. Ramadge

Proceedings of the IEEE International Conference on Acoustics, 2013

Collaborative denoising of multi-subject fMRI data.

Alexander Lorbert, J. Swaroop Guntupalli, David J. Eis, James V. Haxby, Peter J. Ramadge

Proceedings of the IEEE International Conference on Acoustics, 2013

Sparse representation classification via sequential Lasso screening.

Yun Wang, Xu Chen, Peter J. Ramadge

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Music genre classification using multiscale scattering and sparse representations.

Xu Chen, Peter J. Ramadge

Proceedings of the 47th Annual Conference on Information Sciences and Systems, 2013

2012

Edge-Preserving Image Regularization Based on Morphological Wavelets and Dyadic Trees.

Zhen James Xiang, Peter J. Ramadge

IEEE Trans. Image Process., 2012

Regularized hyperalignment of multi-set fMRI data.

Hao Xu, Alexander Lorbert, Peter J. Ramadge, J. Swaroop Guntupalli, James V. Haxby

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Kernel Hyperalignment.

Alexander Lorbert, Peter J. Ramadge

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Fast lasso screening tests based on correlations.

Zhen James Xiang, Peter J. Ramadge

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries.

Zhen James Xiang, Hao Xu, Peter J. Ramadge

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Learning a wavelet tree for multichannel image denoising.

Zhen James Xiang, Zhuo Zhang, Pingmei Xu, Peter J. Ramadge

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Real-time conjugate gradients for online fMRI classification.

Hao Xu, Yongxin Taylor Xi, Ray Lee, Peter J. Ramadge

Proceedings of the IEEE International Conference on Acoustics, 2011

Online Kernel SVM for real-time fMRI brain state prediction.

Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramadge

Proceedings of the IEEE International Conference on Acoustics, 2011

The Rotational Lasso.

Alexander Lorbert, Peter J. Ramadge

Proceedings of the IEEE International Conference on Acoustics, 2011

The grouped two-sided orthogonal Procrustes problem.

Bryan R. Conroy, Peter J. Ramadge

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Descent Methods for Tuning Parameter Refinement.

Alexander Lorbert, Peter J. Ramadge

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net.

Alexander Lorbert, David J. Eis, Victoria Kostina, David M. Blei, Peter J. Ramadge

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Morphological wavelet transform with adaptive dyadic structures.

Zhen James Xiang, Peter J. Ramadge

Proceedings of the International Conference on Image Processing, 2010

Morphological wavelets and the complexity of dyadic trees.

Zhen James Xiang, Peter J. Ramadge

Proceedings of the IEEE International Conference on Acoustics, 2010

Level set estimation on the sphere.

Alexander Lorbert, Peter J. Ramadge

Proceedings of the IEEE International Conference on Acoustics, 2010

A supervisory approach to semi-supervised clustering.

Bryan R. Conroy, Yongxin Taylor Xi, Peter J. Ramadge

Proceedings of the IEEE International Conference on Acoustics, 2010

Bridge detection and robust geodesics estimation via random walks.

Eugene Brevdo, Peter J. Ramadge

Proceedings of the IEEE International Conference on Acoustics, 2010

Welcome.

A. Robert Calderbank, Peter J. Ramadge

Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010

2009

Speed and Sparsity of Regularized Boosting.

Yongxin Taylor Xi, Zhen James Xiang, Peter J. Ramadge, Robert E. Schapire

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Boosting with Spatial Regularization.

Zhen James Xiang, Yongxin Taylor Xi, Uri Hasson, Peter J. Ramadge

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity.

Bryan R. Conroy, Benjamin D. Singer, James V. Haxby, Peter J. Ramadge

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Using sparse regression to learn effective projections for face recognition.

Yongxin Taylor Xi, Peter J. Ramadge

Proceedings of the International Conference on Image Processing, 2009

Sparse boosting.

Zhen James Xiang, Peter J. Ramadge

Proceedings of the IEEE International Conference on Acoustics, 2009

Separable PCA for image classification.

Yongxin Taylor Xi, Peter J. Ramadge

Proceedings of the IEEE International Conference on Acoustics, 2009

Connecting spectral and spring methods for manifold learning.

Shannon M. Hughes, Peter J. Ramadge

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Using Spanning Graphs for Efficient Image Registration.

Mert R. Sabuncu, Peter J. Ramadge

IEEE Trans. Image Process., 2008

2005

Gradient Based Optimization of an EMST Image Registration Function.

Mert R. Sabuncu, Peter J. Ramadge

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Graph-theoretic image registration using prior examples.

Mert Rory Sabuncu, Peter J. Ramadge

Proceedings of the 13th European Signal Processing Conference, 2005

2004

Fast alignment of digital images using a lower bound on an entropy metric.

Mert R. Sabuncu, Peter J. Ramadge

Proceedings of the 2004 International Conference on Image Processing, 2004

2003

Efficiently synthesizing virtual video.

Richard J. Radke, Peter J. Ramadge, Sanjeev R. Kulkarni, Tomio Echigo

IEEE Trans. Circuits Syst. Video Technol., 2003

Spatial Information in Entropy-Based Image Registration.

Mert R. Sabuncu, Peter J. Ramadge

Proceedings of the Biomedical Image Registration, Second International Workshop, 2003

2002

Data rate smoothing in interactive walkthrough applications using 2D prefetching.

Vitali Zagorodnov, Peter J. Ramadge

Proceedings of the 2002 International Conference on Image Processing, 2002

2001

Estimating Correspondence in Digital Video.

Richard J. Radke, Vitali Zagorodnov, Sanjeev R. Kulkarni, Peter J. Ramadge

Proceedings of the 2001 International Symposium on Information Technology (ITCC 2001), 2001

Using view interpolation for low bit rate video.

Richard J. Radke, Peter J. Ramadge, Sanjeev R. Kulkarni, Tomio Echigo

Proceedings of the 2001 International Conference on Image Processing, 2001

2000

Rapid estimation of camera motion from compressed video with application to video annotation.

Yap-Peng Tan, Drew D. Saur, Sanjeev R. Kulkarni, Peter J. Ramadge

IEEE Trans. Circuits Syst. Video Technol., 2000

Error Stabilization in Successive Estimation of Registration Parameters.

Vitali Zagorodnov, Peter J. Ramadge

Proceedings of the 2000 International Conference on Image Processing, 2000

Recursive Propagation of Correspondences with Applications to the Creation of Virtual Video.

Richard J. Radke, Peter J. Ramadge, Sanjeev R. Kulkarni, Tomio Echigo, Shun-ichi Iisaku

Proceedings of the 2000 International Conference on Image Processing, 2000

Efficiently Estimating Projective Transformations.

Richard J. Radke, Peter J. Ramadge, Tomio Echigo, Shun-ichi Iisaku

Proceedings of the 2000 International Conference on Image Processing, 2000

1999

A Framework for Measuring Video Similarity and Its Application to Video Query by Example.

Yap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadge

Proceedings of the 1999 International Conference on Image Processing, 1999

Ghost Error Elimination and Superimposition of Moving Objects in Video Mosaicing.

Tomio Echigo, Richard J. Radke, Peter J. Ramadge, Hisashi Miyamori, Shun-ichi Iisaku

Proceedings of the 1999 International Conference on Image Processing, 1999

1998

Controller switching based on output prediction errors.

Judith Hocherman-Frommer, Sanjeev R. Kulkarni, Peter J. Ramadge

IEEE Trans. Autom. Control., 1998

Reduction of Timed Hybrid Systems.

Stefano Di Gennaro, C. Horn, Sanjeev R. Kulkarni, Peter J. Ramadge

Discret. Event Dyn. Syst., 1998

1997

Automated Analysis and Annotation of Basketball Video.

Drew D. Saur, Yap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadge

Proceedings of the Storage and Retrieval for Image and Video Databases V, 1997

1996

Model and controller selection policies based on output prediction errors.

Sanjeev R. Kulkarni, Peter J. Ramadge

IEEE Trans. Autom. Control., 1996

Extracting good features for motion estimation.

Yap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadge

Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

1995

A new method for camera motion parameter estimation.

Yap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadge

Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

1994

Stochastic optimization of regenerative systems using infinitesimal perturbation analysis.

Edwin K. P. Chong, Peter J. Ramadge

IEEE Trans. Autom. Control., 1994

1993

Periodicity and chaos from switched flow systems: contrasting examples of discretely controlled continuous systems.

Chris Chase, Joseph Serrano, Peter J. Ramadge

IEEE Trans. Autom. Control., 1993

1989

The control of discrete event systems.

Peter J. Ramadge, Walter Murray Wonham

Proc. IEEE, 1989

1988

Modular supervisory control of discrete-event systems.

W. M. Wonham, Peter J. Ramadge

Math. Control. Signals Syst., 1988

1981

A globally convergent adaptive predictor.

Graham C. Goodwin, Peter J. Ramadge, Peter E. Caines

Autom., 1981