Peter J. Ramadge

Orcid: 0000-0002-3282-216X

According to our database1, Peter J. Ramadge authored at least 109 papers between 1981 and 2023.

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Awards

IEEE Fellow

IEEE Fellow 1996, "For contributions to the theory of adaptive control and the control of discrete event systems.".

Timeline

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Bibliography

2023
Fast, Smooth, and Safe: Implicit Control Barrier Functions Through Reach-Avoid Differential Dynamic Programming.
IEEE Control. Syst. Lett., 2023

Generative Marginalization Models.
CoRR, 2023

Transformer Working Memory Enables Regular Language Reasoning And Natural Language Length Extrapolation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Dissecting Transformer Length Extrapolation via the Lens of Receptive Field Analysis.
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.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
Expert Intervention Learning.
Auton. Robots, 2022

Learning Physics Constrained Dynamics Using Autoencoders.
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.
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.
Proceedings of the International Conference on Machine Learning, 2022

Safety Control for Prime Focus Spectrograph.
Proceedings of the 56th Annual Conference on Information Sciences and Systems, 2022

2021
ProBF: Learning Probabilistic Safety Certificates with Barrier Functions.
CoRR, 2021

Explaining Off-Policy Actor-Critic From A Bias-Variance Perspective.
CoRR, 2021

Safe Reinforcement Learning with Natural Language Constraints.
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.
Proceedings of the 38th International Conference on Machine Learning, 2021

DiffLoop: Tuning PID Controllers by Differentiating Through the Feedback Loop.
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

An Experimental Study of Balance in Matrix Factorization.
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

Learning to Control Using a Convex Combination of Controllers.
Proceedings of the 2021 American Control Conference, 2021

A Contraction Approach to Model-based Reinforcement Learning.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis.
PLoS Comput. Biol., 2020

Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies.
CoRR, 2020

The Landscape of Matrix Factorization Revisited.
CoRR, 2020

Learning from Interventions: Human-robot interaction as both explicit and implicit feedback.
Proceedings of the Robotics: Science and Systems XVI, 2020

Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Projection-Based Constrained Policy Optimization.
Proceedings of the 8th International Conference on Learning Representations, 2020

Revisiting the Landscape of Matrix Factorization.
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.
IEEE J. Solid State Circuits, 2019

Model Imitation for Model-Based Reinforcement Learning.
CoRR, 2019

Multi-dataset Low-rank Matrix Factorization.
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019

2018
Mapping between fMRI responses to movies and their natural language annotations.
NeuroImage, 2018

Shared Representational Geometry Across Neural Networks.
CoRR, 2018

A Mixed-Signal Binarized Convolutional-Neural-Network Accelerator Integrating Dense Weight Storage and Multiplication for Reduced Data Movement.
Proceedings of the 2018 IEEE Symposium on VLSI Circuits, 2018

An Upper-Bound on the Required Size of a Neural Network Classifier.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Contact Surface Area: A Novel Signal for Heart Rate Estimation in Smartphone Videos.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Measuring representational similarity across neural networks.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Transfer Learning on fMRI Datasets.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Screening Tests for Lasso Problems.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

A semi-supervised method for multi-subject FMRI functional alignment.
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.
CoRR, 2016

The Symmetry of a Simple Optimization Problem in Lasso Screening.
CoRR, 2016

Feedback-Controlled Sequential Lasso Screening.
CoRR, 2016

Mapping Between Natural Movie fMRI Responses and Word-Sequence Representations.
CoRR, 2016

A Convolutional Autoencoder for Multi-Subject fMRI Data Aggregation.
CoRR, 2016

Learning to identify container contents through tactile vibration signatures.
Proceedings of the 2016 IEEE International Conference on Simulation, 2016

Enabling factor analysis on thousand-subject neuroimaging datasets.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
A Reduced-Dimension fMRI Shared Response Model.
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.
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?
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Inter-subject alignment of human cortical anatomy using functional connectivity.
NeuroImage, 2013

Detecting stimulus driven changes in functional brain connectivity.
Proceedings of the IEEE International Conference on Acoustics, 2013

Three structural results on the lasso problem.
Proceedings of the IEEE International Conference on Acoustics, 2013

The generalized lasso is reducible to a subspace constrained lasso.
Proceedings of the IEEE International Conference on Acoustics, 2013

The 2-codeword screening test for lasso problems.
Proceedings of the IEEE International Conference on Acoustics, 2013

Lasso screening with a small regularization parameter.
Proceedings of the IEEE International Conference on Acoustics, 2013

Tradeoffs in improved screening of lasso problems.
Proceedings of the IEEE International Conference on Acoustics, 2013

The Pairwise Elastic Net support vector machine for automatic fMRI feature selection.
Proceedings of the IEEE International Conference on Acoustics, 2013

Collaborative denoising of multi-subject fMRI data.
Proceedings of the IEEE International Conference on Acoustics, 2013

Sparse representation classification via sequential Lasso screening.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Music genre classification using multiscale scattering and sparse representations.
Proceedings of the 47th Annual Conference on Information Sciences and Systems, 2013

2012
Edge-Preserving Image Regularization Based on Morphological Wavelets and Dyadic Trees.
IEEE Trans. Image Process., 2012

Regularized hyperalignment of multi-set fMRI data.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Kernel Hyperalignment.
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.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries.
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.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Real-time conjugate gradients for online fMRI classification.
Proceedings of the IEEE International Conference on Acoustics, 2011

Online Kernel SVM for real-time fMRI brain state prediction.
Proceedings of the IEEE International Conference on Acoustics, 2011

The Rotational Lasso.
Proceedings of the IEEE International Conference on Acoustics, 2011

The grouped two-sided orthogonal Procrustes problem.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Descent Methods for Tuning Parameter Refinement.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Morphological wavelet transform with adaptive dyadic structures.
Proceedings of the International Conference on Image Processing, 2010

Morphological wavelets and the complexity of dyadic trees.
Proceedings of the IEEE International Conference on Acoustics, 2010

Level set estimation on the sphere.
Proceedings of the IEEE International Conference on Acoustics, 2010

A supervisory approach to semi-supervised clustering.
Proceedings of the IEEE International Conference on Acoustics, 2010

Bridge detection and robust geodesics estimation via random walks.
Proceedings of the IEEE International Conference on Acoustics, 2010

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

2009
Speed and Sparsity of Regularized Boosting.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Boosting with Spatial Regularization.
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.
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.
Proceedings of the International Conference on Image Processing, 2009

Sparse boosting.
Proceedings of the IEEE International Conference on Acoustics, 2009

Separable PCA for image classification.
Proceedings of the IEEE International Conference on Acoustics, 2009

Connecting spectral and spring methods for manifold learning.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Using Spanning Graphs for Efficient Image Registration.
IEEE Trans. Image Process., 2008

2005
Gradient Based Optimization of an EMST Image Registration Function.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Graph-theoretic image registration using prior examples.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
Fast alignment of digital images using a lower bound on an entropy metric.
Proceedings of the 2004 International Conference on Image Processing, 2004

2003
Efficiently synthesizing virtual video.
IEEE Trans. Circuits Syst. Video Technol., 2003

Spatial Information in Entropy-Based Image Registration.
Proceedings of the Biomedical Image Registration, Second International Workshop, 2003

2002
Data rate smoothing in interactive walkthrough applications using 2D prefetching.
Proceedings of the 2002 International Conference on Image Processing, 2002

2001
Estimating Correspondence in Digital Video.
Proceedings of the 2001 International Symposium on Information Technology (ITCC 2001), 2001

Using view interpolation for low bit rate video.
Proceedings of the 2001 International Conference on Image Processing, 2001

2000
Rapid estimation of camera motion from compressed video with application to video annotation.
IEEE Trans. Circuits Syst. Video Technol., 2000

Error Stabilization in Successive Estimation of Registration Parameters.
Proceedings of the 2000 International Conference on Image Processing, 2000

Recursive Propagation of Correspondences with Applications to the Creation of Virtual Video.
Proceedings of the 2000 International Conference on Image Processing, 2000

Efficiently Estimating Projective Transformations.
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.
Proceedings of the 1999 International Conference on Image Processing, 1999

Ghost Error Elimination and Superimposition of Moving Objects in Video Mosaicing.
Proceedings of the 1999 International Conference on Image Processing, 1999

1998
Controller switching based on output prediction errors.
IEEE Trans. Autom. Control., 1998

Reduction of Timed Hybrid Systems.
Discret. Event Dyn. Syst., 1998

1997
Automated Analysis and Annotation of Basketball Video.
Proceedings of the Storage and Retrieval for Image and Video Databases V, 1997

1996
Model and controller selection policies based on output prediction errors.
IEEE Trans. Autom. Control., 1996

Extracting good features for motion estimation.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

1995
A new method for camera motion parameter estimation.
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

1994
Stochastic optimization of regenerative systems using infinitesimal perturbation analysis.
IEEE Trans. Autom. Control., 1994

1993
Periodicity and chaos from switched flow systems: contrasting examples of discretely controlled continuous systems.
IEEE Trans. Autom. Control., 1993

1989
The control of discrete event systems.
Proc. IEEE, 1989

1988
Modular supervisory control of discrete-event systems.
Math. Control. Signals Syst., 1988

1981
A globally convergent adaptive predictor.
Autom., 1981


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