A globally convergent adaptive predictor. - Graham C. Goodwin; Peter J. Ramadge; Peter E. Caines (Autom., 1981)

Modular supervisory control of discrete-event systems. - W. M. Wonham; Peter J. Ramadge (Math. Control. Signals Syst., 1988)

The control of discrete event systems. - Peter J. Ramadge; Walter Murray Wonham (Proc. IEEE, 1989)

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)

Stochastic optimization of regenerative systems using infinitesimal perturbation analysis. - Edwin K. P. Chong; Peter J. Ramadge (IEEE Trans. Autom. Control., 1994)

A new method for camera motion parameter estimation. - Yap-Peng Tan; Sanjeev R. Kulkarni; Peter J. Ramadge (ICIP, 1995)

Extracting good features for motion estimation. - Yap-Peng Tan; Sanjeev R. Kulkarni; Peter J. Ramadge (ICIP (1), 1996)

Model and controller selection policies based on output prediction errors. - Sanjeev R. Kulkarni; Peter J. Ramadge (IEEE Trans. Autom. Control., 1996)

Automated Analysis and Annotation of Basketball Video. - Drew D. Saur; Yap-Peng Tan; Sanjeev R. Kulkarni; Peter J. Ramadge (Storage and Retrieval for Image and Video Databases (SPIE), 1997)

Reduction of Timed Hybrid Systems. - Stefano Di Gennaro; C. Horn; Sanjeev R. Kulkarni; Peter J. Ramadge (Discret. Event Dyn. Syst., 1998)

Controller switching based on output prediction errors. - Judith Hocherman-Frommer; Sanjeev R. Kulkarni; Peter J. Ramadge (IEEE Trans. Autom. Control., 1998)

Ghost Error Elimination and Superimposition of Moving Objects in Video Mosaicing. - Tomio Echigo; Richard J. Radke; Peter J. Ramadge; Hisashi Miyamori; Shun-ichi Iisaku (ICIP (4), 1999)

A Framework for Measuring Video Similarity and Its Application to Video Query by Example. - Yap-Peng Tan; Sanjeev R. Kulkarni; Peter J. Ramadge (ICIP (2), 1999)

Efficiently Estimating Projective Transformations. - Richard J. Radke; Peter J. Ramadge; Tomio Echigo; Shun-ichi Iisaku (ICIP, 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 (ICIP, 2000)

Error Stabilization in Successive Estimation of Registration Parameters. - Vitali Zagorodnov; Peter J. Ramadge (ICIP, 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)

Using view interpolation for low bit rate video. - Richard J. Radke; Peter J. Ramadge; Sanjeev R. Kulkarni; Tomio Echigo (ICIP (1), 2001)

Estimating Correspondence in Digital Video. - Richard J. Radke; Vitali Zagorodnov; Sanjeev R. Kulkarni; Peter J. Ramadge (ITCC, 2001)

Data rate smoothing in interactive walkthrough applications using 2D prefetching. - Vitali Zagorodnov; Peter J. Ramadge (ICIP (3), 2002)

Spatial Information in Entropy-Based Image Registration. - Mert R. Sabuncu; Peter J. Ramadge (WBIR, 2003)

Efficiently synthesizing virtual video. - Richard J. Radke; Peter J. Ramadge; Sanjeev R. Kulkarni; Tomio Echigo (IEEE Trans. Circuits Syst. Video Technol., 2003)

Fast alignment of digital images using a lower bound on an entropy metric. - Mert R. Sabuncu; Peter J. Ramadge (ICIP, 2004)

Graph-theoretic image registration using prior examples. - Mert Rory Sabuncu; Peter J. Ramadge (EUSIPCO, 2005)

Gradient Based Optimization of an EMST Image Registration Function. - Mert R. Sabuncu; Peter J. Ramadge (ICASSP (2), 2005)

Using Spanning Graphs for Efficient Image Registration. - Mert R. Sabuncu; Peter J. Ramadge (IEEE Trans. Image Process., 2008)

Connecting spectral and spring methods for manifold learning. - Shannon M. Hughes; Peter J. Ramadge (ICASSP, 2009)

Separable PCA for image classification. - Yongxin Taylor Xi; Peter J. Ramadge (ICASSP, 2009)

Sparse boosting. - Zhen James Xiang; Peter J. Ramadge (ICASSP, 2009)

Using sparse regression to learn effective projections for face recognition. - Yongxin Taylor Xi; Peter J. Ramadge (ICIP, 2009)

fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity. - Bryan R. Conroy; Benjamin D. Singer; James V. Haxby; Peter J. Ramadge (NIPS, 2009)

Boosting with Spatial Regularization. - Zhen James Xiang; Yongxin Taylor Xi; Uri Hasson; Peter J. Ramadge (NIPS, 2009)

Speed and Sparsity of Regularized Boosting. - Yongxin Taylor Xi; Zhen James Xiang; Peter J. Ramadge; Robert E. Schapire (AISTATS, 2009)

Welcome. - A. Robert Calderbank; Peter J. Ramadge (CISS, 2010)

Bridge detection and robust geodesics estimation via random walks. - Eugene Brevdo; Peter J. Ramadge (ICASSP, 2010)

A supervisory approach to semi-supervised clustering. - Bryan R. Conroy; Yongxin Taylor Xi; Peter J. Ramadge (ICASSP, 2010)

Level set estimation on the sphere. - Alexander Lorbert; Peter J. Ramadge (ICASSP, 2010)

Morphological wavelets and the complexity of dyadic trees. - Zhen James Xiang; Peter J. Ramadge (ICASSP, 2010)

Morphological wavelet transform with adaptive dyadic structures. - Zhen James Xiang; Peter J. Ramadge (ICIP, 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 (AISTATS, 2010)

Descent Methods for Tuning Parameter Refinement. - Alexander Lorbert; Peter J. Ramadge (AISTATS, 2010)

The grouped two-sided orthogonal Procrustes problem. - Bryan R. Conroy; Peter J. Ramadge (ICASSP, 2011)

The Rotational Lasso. - Alexander Lorbert; Peter J. Ramadge (ICASSP, 2011)

Online Kernel SVM for real-time fMRI brain state prediction. - Yongxin Taylor Xi; Hao Xu; Ray Lee; Peter J. Ramadge (ICASSP, 2011)

Real-time conjugate gradients for online fMRI classification. - Hao Xu; Yongxin Taylor Xi; Ray Lee; Peter J. Ramadge (ICASSP, 2011)

Learning a wavelet tree for multichannel image denoising. - Zhen James Xiang; Zhuo Zhang; Pingmei Xu; Peter J. Ramadge (ICIP, 2011)

Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries. - Zhen James Xiang; Hao Xu; Peter J. Ramadge (NIPS, 2011)

Fast lasso screening tests based on correlations. - Zhen James Xiang; Peter J. Ramadge (ICASSP, 2012)

Kernel Hyperalignment. - Alexander Lorbert; Peter J. Ramadge (NIPS, 2012)

Regularized hyperalignment of multi-set fMRI data. - Hao Xu; Alexander Lorbert; Peter J. Ramadge; J. Swaroop Guntupalli; James V. Haxby (SSP, 2012)

Edge-Preserving Image Regularization Based on Morphological Wavelets and Dyadic Trees. - Zhen James Xiang; Peter J. Ramadge (IEEE Trans. Image Process., 2012)

Music genre classification using multiscale scattering and sparse representations. - Xu Chen 027; Peter J. Ramadge (CISS, 2013)

Sparse representation classification via sequential Lasso screening. - Yun Wang; Xu Chen 027; Peter J. Ramadge (GlobalSIP, 2013)

Collaborative denoising of multi-subject fMRI data. - Alexander Lorbert; J. Swaroop Guntupalli; David J. Eis; James V. Haxby; Peter J. Ramadge (ICASSP, 2013)

The Pairwise Elastic Net support vector machine for automatic fMRI feature selection. - Alexander Lorbert; Peter J. Ramadge (ICASSP, 2013)

Tradeoffs in improved screening of lasso problems. - Yun Wang; Zhen James Xiang; Peter J. Ramadge (ICASSP, 2013)

Lasso screening with a small regularization parameter. - Yun Wang; Zhen James Xiang; Peter J. Ramadge (ICASSP, 2013)

The 2-codeword screening test for lasso problems. - Hao Wu; Peter J. Ramadge (ICASSP, 2013)

The generalized lasso is reducible to a subspace constrained lasso. - Hao Xu; David J. Eis; Peter J. Ramadge (ICASSP, 2013)

Three structural results on the lasso problem. - Pingmei Xu; Peter J. Ramadge (ICASSP, 2013)

Detecting stimulus driven changes in functional brain connectivity. - Pingmei Xu; Hao Xu; Peter J. Ramadge (ICASSP, 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)

Collaborative representation, sparsity or nonlinearity: What is key to dictionary based classification? - Xu Chen 027; Peter J. Ramadge (ICASSP, 2014)

Joint SVD-Hyperalignment for multi-subject FMRI data alignment. - Po-Hsuan Chen; J. Swaroop Guntupalli; James V. Haxby; Peter J. Ramadge (MLSP, 2014)

A Reduced-Dimension fMRI Shared Response Model. - Po-Hsuan Chen; Janice Chen; Yaara Yeshurun; Uri Hasson; James V. Haxby; Peter J. Ramadge (NIPS, 2015)

Enabling factor analysis on thousand-subject neuroimaging datasets. - Michael J. Anderson; Mihai Capota; Javier S. Turek; Xia Zhu; Theodore L. Willke; Yida Wang 003; Po-Hsuan Chen; Jeremy R. Manning; Peter J. Ramadge; Kenneth A. Norman (IEEE BigData, 2016)

Learning to identify container contents through tactile vibration signatures. - Carolyn L. Chen; Jeffrey O. Snyder; Peter J. Ramadge (SIMPAR, 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)

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)

Feedback-Controlled Sequential Lasso Screening. - Yun Wang; Xu Chen 027; Peter J. Ramadge (CoRR, 2016)

The Symmetry of a Simple Optimization Problem in Lasso Screening. - Yun Wang; Peter J. Ramadge (CoRR, 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)

A semi-supervised method for multi-subject FMRI functional alignment. - Javier S. Turek; Theodore L. Willke; Po-Hsuan Chen; Peter J. Ramadge (ICASSP, 2017)

Screening Tests for Lasso Problems. - Zhen James Xiang; Yun Wang; Peter J. Ramadge (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Transfer Learning on fMRI Datasets. - Hejia Zhang; Po-Hsuan Chen; Peter J. Ramadge (AISTATS, 2018)

Measuring representational similarity across neural networks. - Qihong Lu; Peter J. Ramadge; Kenneth A. Norman; Uri Hasson (CogSci, 2018)

Contact Surface Area: A Novel Signal for Heart Rate Estimation in Smartphone Videos. - Sara Fridovich-Keil; Peter J. Ramadge (GlobalSIP, 2018)

An Upper-Bound on the Required Size of a Neural Network Classifier. - Hossein Valavi; Peter J. Ramadge (ICASSP, 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 (VLSI Circuits, 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)

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)

Multi-dataset Low-rank Matrix Factorization. - Hossein Valavi; Peter J. Ramadge (CISS, 2019)

Model Imitation for Model-Based Reinforcement Learning. - Yueh-Hua Wu; Ting-Han Fan; Peter J. Ramadge; Hao Su 001 (CoRR, 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)

Revisiting the Landscape of Matrix Factorization. - Hossein Valavi; Sulin Liu; Peter J. Ramadge (AISTATS, 2020)

Projection-Based Constrained Policy Optimization. - Tsung-Yen Yang; Justinian Rosca; Karthik Narasimhan; Peter J. Ramadge (ICLR, 2020)

Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters. - Sulin Liu; Xingyuan Sun; Peter J. Ramadge; Ryan P. Adams (NeurIPS, 2020)

Learning from Interventions: Human-robot interaction as both explicit and implicit feedback. - Jonathan C. Spencer; Sanjiban Choudhury; Matt Barnes 001; Matthew Schmittle; Mung Chiang; Peter J. Ramadge; Siddhartha S. Srinivasa (Robotics: Science and Systems, 2020)

The Landscape of Matrix Factorization Revisited. - Hossein Valavi; Sulin Liu; Peter J. Ramadge (CoRR, 2020)

Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies. - Tsung-Yen Yang; Justinian Rosca; Karthik Narasimhan; Peter J. Ramadge (CoRR, 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)

A Contraction Approach to Model-based Reinforcement Learning. - Ting-Han Fan; Peter J. Ramadge (AISTATS, 2021)

Learning to Control Using a Convex Combination of Controllers. - Athindran Ramesh Kumar; Peter J. Ramadge (ACC, 2021)

An Experimental Study of Balance in Matrix Factorization. - Jennifer Hsia; Peter J. Ramadge (CISS, 2021)

DiffLoop: Tuning PID Controllers by Differentiating Through the Feedback Loop. - Athindran Ramesh Kumar; Peter J. Ramadge (CISS, 2021)

Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies. - Tsung-Yen Yang; Justinian Rosca; Karthik Narasimhan; Peter J. Ramadge (ICML, 2021)

Safe Reinforcement Learning with Natural Language Constraints. - Tsung-Yen Yang; Michael Y. Hu; Yinlam Chow; Peter J. Ramadge; Karthik Narasimhan (NeurIPS, 2021)

Explaining Off-Policy Actor-Critic From A Bias-Variance Perspective. - Ting-Han Fan; Peter J. Ramadge (CoRR, 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)

Safety Control for Prime Focus Spectrograph. - Ting-Han Fan; Athindran Ramesh Kumar; Peter J. Ramadge (CISS, 2022)

Training Discrete Deep Generative Models via Gapped Straight-Through Estimator. - Ting-Han Fan; Ta-Chung Chi; Alexander I. Rudnicky; Peter J. Ramadge (ICML, 2022)

KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation. - Ta-Chung Chi; Ting-Han Fan; Peter J. Ramadge; Alexander Rudnicky (NeurIPS, 2022)

Learning Physics Constrained Dynamics Using Autoencoders. - Tsung-Yen Yang; Justinian Rosca; Karthik Narasimhan; Peter J. Ramadge (NeurIPS, 2022)

Expert Intervention Learning. - Jonathan C. Spencer; Sanjiban Choudhury; Matthew Barnes 001; Matthew Schmittle; Mung Chiang; Peter J. Ramadge; Siddhartha S. Srinivasa (Auton. Robots, 2022)

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 (ACL (2), 2023)

Dissecting Transformer Length Extrapolation via the Lens of Receptive Field Analysis. - Ta-Chung Chi; Ting-Han Fan; Alexander Rudnicky; Peter J. Ramadge (ACL (1), 2023)

Transformer Working Memory Enables Regular Language Reasoning And Natural Language Length Extrapolation. - Ta-Chung Chi; Ting-Han Fan; Alexander Rudnicky; Peter J. Ramadge (EMNLP (Findings), 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)

Generative Marginalization Models. - Sulin Liu; Peter J. Ramadge; Ryan P. Adams (ICML, 2024)