Barak A. Pearlmutter

According to our database, Barak A. Pearlmutter authored at least 94 papers between 1986 and 2024.

Collaborative distances:

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

2024

Recent Trends in Modelling the Continuous Time Series using Deep Learning: A Survey.

Mansura Habiba, Barak A. Pearlmutter, Mehrdad Maleki

CoRR, 2024

Second-Order Forward-Mode Automatic Differentiation for Optimization.

Adam D. Cobb, Atilim Günes Baydin, Barak A. Pearlmutter, Susmit Jha

CoRR, 2024

Comparing Differentiable Logics for Learning with Logical Constraints.

Thomas Flinkow, Barak A. Pearlmutter, Rosemary Monahan

CoRR, 2024

Learning Exemplar Representations in Single-Trial EEG Category Decoding.

Jack Kilgallen, Barak A. Pearlmutter, Jeffrey Mark Siskind

CoRR, 2024

Low-Rank Learning by Design: the Role of Network Architecture and Activation Linearity in Gradient Rank Collapse.

Bradley T. Baker, Barak A. Pearlmutter, Robyn L. Miller, Vince D. Calhoun, Sergey M. Plis

CoRR, 2024

Towards Correct-by-Construction Machine-Learnt Models.

Thomas Flinkow, Barak A. Pearlmutter, Rosemary Monahan

Proceedings of the PhD Symposium at the 19th International Conference on integrated Formal Methods in Manchester 2024 (iFM 2024), 2024

2023

Comparing Differentiable Logics for Learning Systems: A Research Preview.

Thomas Flinkow, Barak A. Pearlmutter, Rosemary Monahan

Proceedings of the Proceedings Fifth International Workshop on Formal Methods for Autonomous Systems, 2023

Visualization of AI Systems in Virtual Reality: A Comprehensive Review.

Medet Inkarbekov, Rosemary Monahan, Barak A. Pearlmutter

CoRR, 2023

Immersive Neural Network Exploration: A VR Approach to Human-Centered AI Understanding.

Medet Inkarbekov, Barak A. Pearlmutter, Rosemary Monahan

Proceedings of the 2023 Conference on Human Centered Artificial Intelligence: Education and Practice, 2023

Rich and Expressive Specification of Continuous-Learning Cyber-Physical Systems.

Thomas Flinkow, Barak A. Pearlmutter, Rosemary Monahan

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023

2022

Gradients without Backpropagation.

Atilim Günes Baydin, Barak A. Pearlmutter, Don Syme, Frank Wood, Philip H. S. Torr

CoRR, 2022

2021

Continuous Convolutional Neural Networks: Coupled Neural PDE and ODE.

Mansura Habiba, Barak A. Pearlmutter

CoRR, 2021

Neural Network based on Automatic Differentiation Transformation of Numeric Iterate-to-Fixedpoint.

Mansura Habiba, Barak A. Pearlmutter

CoRR, 2021

ECG synthesis with Neural ODE and GAN models.

Mansura Habiba, Eoin Borphy, Barak A. Pearlmutter, Tomás Ward

CoRR, 2021

HeunNet: Extending ResNet using Heun's Methods.

Mehrdad Maleki, Mansura Habiba, Barak A. Pearlmutter

CoRR, 2021

Efficient Distributed Auto-Differentiation.

Bradley T. Baker, Vince D. Calhoun, Barak A. Pearlmutter, Sergey M. Plis

CoRR, 2021

2020

Neural ODEs for Informative Missingness in Multivariate Time Series.

Mansura Habiba, Barak A. Pearlmutter

CoRR, 2020

Neural Ordinary Differential Equation based Recurrent Neural Network Model.

Mansura Habiba, Barak A. Pearlmutter

CoRR, 2020

Lock-Free Hopscotch Hashing.

Robert Kelly, Barak A. Pearlmutter, Phil Maguire

Proceedings of the 1st Symposium on Algorithmic Principles of Computer Systems, 2020

Automatic Differentiation of Sketched Regression.

Hang Liao, Barak A. Pearlmutter, Vamsi K. Potluru, David P. Woodruff

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

2019

Perturbation confusion in forward automatic differentiation of higher-order functions.

Oleksandr Manzyuk, Barak A. Pearlmutter, Alexey Andreyevich Radul, David R. Rush, Jeffrey Mark Siskind

J. Funct. Program., 2019

Automatic Differentiation and Ubiquitous Adaptive Computing.

Barak A. Pearlmutter

Proceedings of the Proceedings for the 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2019

2018

Divide-and-conquer checkpointing for arbitrary programs with no user annotation.

Jeffrey Mark Siskind, Barak A. Pearlmutter

Optim. Methods Softw., 2018

Concurrent Robin Hood Hashing.

Robert Kelly, Barak A. Pearlmutter, Phil Maguire

Proceedings of the 22nd International Conference on Principles of Distributed Systems, 2018

2017

Automatic Differentiation in Machine Learning: a Survey.

Atilim Gunes Baydin, Barak A. Pearlmutter, Alexey Andreyevich Radul, Jeffrey Mark Siskind

J. Mach. Learn. Res., 2017

Mini-symposium on automatic differentiation and its applications in the financial industry.

Sébastien Geeraert, Charles-Albert Lehalle, Barak A. Pearlmutter, Olivier Pironneau, Adil Reghai

CoRR, 2017

2016

Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond.

Haibo He, Nitesh V. Chawla, Huanhuan Chen, Yoonsuck Choe, Andries P. Engelbrecht, Jaya deva, Lyle N. Long, Ali A. Minai, Feiping Nie, Umut Ozertem, Barak A. Pearlmutter, Ling Shao, Jennie Si, Jochen J. Steil, Brijesh K. Verma, Ding Wang

IEEE Trans. Neural Networks Learn. Syst., 2016

Efficient Implementation of a Higher-Order Language with Built-In AD.

Jeffrey Mark Siskind, Barak A. Pearlmutter

CoRR, 2016

Binomial Checkpointing for Arbitrary Programs with No User Annotation.

Jeffrey Mark Siskind, Barak A. Pearlmutter

CoRR, 2016

Evolving the Incremental λ Calculus into a Model of Forward Automatic Differentiation (AD).

Robert Kelly, Barak A. Pearlmutter, Jeffrey Mark Siskind

CoRR, 2016

Tricks from Deep Learning.

Atilim Günes Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind

CoRR, 2016

DiffSharp: An AD Library for .NET Languages.

Atilim Günes Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind

CoRR, 2016

2015

DiffSharp: Automatic Differentiation Library.

Atilim Gunes Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind

CoRR, 2015

Automatic differentiation in machine learning: a survey.

Atilim Gunes Baydin, Barak A. Pearlmutter, Alexey Andreyevich Radul

CoRR, 2015

2014

An Analysis of Publication Venues for Automatic Differentiation Research.

Atilim Gunes Baydin, Barak A. Pearlmutter

CoRR, 2014

Automatic Differentiation of Algorithms for Machine Learning.

Atilim Gunes Baydin, Barak A. Pearlmutter

CoRR, 2014

Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions.

Andrei Barbu, Daniel Paul Barrett, Wei Chen, Siddharth Narayanaswamy, Caiming Xiong, Jason J. Corso, Christiane D. Fellbaum, Catherine Hanson, Stephen José Hanson, Sébastien Hélie, Evguenia Malaia, Barak A. Pearlmutter, Jeffrey Mark Siskind, Thomas Michael Talavage, Ronnie B. Wilbur

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Block Coordinate Descent for Sparse NMF

Vamsi K. Potluru, Sergey M. Plis, Jonathan Le Roux, Barak A. Pearlmutter, Vince D. Calhoun, Thomas P. Hayes

Proceedings of the 1st International Conference on Learning Representations, 2013

2012

Confusion of Tagged Perturbations in Forward Automatic Differentiation of Higher-Order Functions

Oleksandr Manzyuk, Barak A. Pearlmutter, Alexey Andreyevich Radul, David R. Rush, Jeffrey Mark Siskind

CoRR, 2012

AD in Fortran, Part 2: Implementation via Prepreprocessor

Alexey Radul, Barak A. Pearlmutter, Jeffrey Mark Siskind

CoRR, 2012

AD in Fortran, Part 1: Design

Alexey Radul, Barak A. Pearlmutter, Jeffrey Mark Siskind

CoRR, 2012

2011

Deep brain stimulation may reduce tremor by preferential blockade of slower axons via antidromic activation.

Míriam R. García, Mark Verwoerd, Barak A. Pearlmutter, Peter Wellstead, Richard H. Middleton

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2009

A New Hypothesis for Sleep: Tuning for Criticality.

Barak A. Pearlmutter, Conor J. Houghton

Neural Comput., 2009

Constructing Time-Frequency Dictionaries for Source Separation via Time-Frequency Masking and Source Localisation.

Ruairí de Fréin, Scott T. Rickard, Barak A. Pearlmutter

Proceedings of the Independent Component Analysis and Signal Separation, 2009

2008

Reverse-mode AD in a functional framework: Lambda the ultimate backpropagator.

Barak A. Pearlmutter, Jeffrey Mark Siskind

ACM Trans. Program. Lang. Syst., 2008

Hemodynamics for Brain-Computer Interfaces.

Fiachra Matthews, Barak A. Pearlmutter, Tomas E. Ward, Christopher J. Soraghan, Charles Markham

IEEE Signal Process. Mag., 2008

Nesting forward-mode AD in a functional framework.

Jeffrey Mark Siskind, Barak A. Pearlmutter

High. Order Symb. Comput., 2008

Discovering speech phones using convolutive non-negative matrix factorisation with a sparseness constraint.

Paul D. O'Grady, Barak A. Pearlmutter

Neurocomputing, 2008

The LOST Algorithm: Finding Lines and Separating Speech Mixtures.

Paul D. O'Grady, Barak A. Pearlmutter

EURASIP J. Adv. Signal Process., 2008

2007

Optimal Coding Predicts Attentional Modulation of Activity in Neural Systems.

Santiago Jaramillo, Barak A. Pearlmutter

Neural Comput., 2007

First-class nonstandard interpretations by opening closures.

Jeffrey Mark Siskind, Barak A. Pearlmutter

Proceedings of the 34th ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, 2007

Lazy multivariate higher-order forward-mode AD.

Barak A. Pearlmutter, Jeffrey Mark Siskind

Proceedings of the 34th ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, 2007

Discovering Convolutive Speech Phones Using Sparseness and Non-negativity.

Paul D. O'Grady, Barak A. Pearlmutter

Proceedings of the Independent Component Analysis and Signal Separation, 2007

Sparsification for Monaural Source Separation.

Hiroki Asari, Rasmus Kongsgaard Olsson, Barak A. Pearlmutter, Anthony M. Zador

Proceedings of the Blind Speech Separation, 2007

2006

The VESPA: A method for the rapid estimation of a visual evoked potential.

Edmund C. Lalor, Barak A. Pearlmutter, Richard B. Reilly, Gary McDarby, John J. Foxe

NeuroImage, 2006

A Spectrum of Colors: Investigating the Temporal Frequency Characteristics of the Human Visual System Using a System Identification Approach.

Edmund C. Lalor, Richard B. Reilly, Barak A. Pearlmutter, John J. Foxe

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005

Survey of sparse and non-sparse methods in source separation.

Paul D. O'Grady, Barak A. Pearlmutter, Scott T. Rickard

Int. J. Imaging Syst. Technol., 2005

Bounds on Query Convergence

Barak A. Pearlmutter

CoRR, 2005

2004

A normative model of attention: receptive field modulation.

Santiago Jaramillo, Barak A. Pearlmutter

Neurocomputing, 2004

Monaural Source Separation Using Spectral Cues.

Barak A. Pearlmutter, Anthony M. Zador

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Soft-LOST: EM on a Mixture of Oriented Lines.

Paul D. O'Grady, Barak A. Pearlmutter

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Transformations of Gaussian Process Priors.

Roderick Murray-Smith, Barak A. Pearlmutter

Proceedings of the Deterministic and Statistical Methods in Machine Learning, 2004

2003

MEG source localization using an MLP with a distributed output representation.

Sung Chan Jun, Barak A. Pearlmutter, Guido Nolte

IEEE Trans. Biomed. Eng., 2003

Single-trial detection in EEG and MEG: Keeping it linear.

Lucas C. Parra, Christopher V. Alvino, Akaysha C. Tang, Barak A. Pearlmutter, Nick Yeung, Allen Osman, Paul Sajda

Neurocomputing, 2003

Subject-Independent Magnetoencephalographic Source Localization by a Multilayer Perceptron.

Sung Chan Jun, Barak A. Pearlmutter

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Filtered Gaussian Processes for Learning with Large Data-Sets.

Jian Qing Shi, Roderick Murray-Smith, D. M. Titterington, Barak A. Pearlmutter

Proceedings of the Switching and Learning in Feedback Systems, 2003

2002

Independent Components of Magnetoencephalography: Single-Trial Response Onset Times.

Akaysha C. Tang, Barak A. Pearlmutter, Natalie A. Malaszenko, Dan B. Phung

NeuroImage, 2002

Linear Spatial Integration for Single-Trial Detection in Encephalography.

Lucas C. Parra, Christopher V. Alvino, Akaysha C. Tang, Barak A. Pearlmutter, Nick Yeung, Allen Osman, Paul Sajda

NeuroImage, 2002

Independent Components of Magnetoencephalography: Localization.

Akaysha C. Tang, Barak A. Pearlmutter, Natalie A. Malaszenko, Dan B. Phung, Bethany C. Reeb

Neural Comput., 2002

2001

Blind Source Separation by Sparse Decomposition in a Signal Dictionary.

Michael Zibulevsky, Barak A. Pearlmutter

Neural Comput., 2001

Blind Source Separation via Multinode Sparse Representation.

Michael Zibulevsky, Pavel Kisilev, Yehoshua Y. Zeevi, Barak A. Pearlmutter

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000

Blind source separation of multichannel neuromagnetic responses.

Akaysha C. Tang, Barak A. Pearlmutter, Michael Zibulevsky, Scott A. Carter

Neurocomputing, 2000

Visualizing Communication between Neurons in the Lamina Ganglionaris of Musca domestica.

Karen G. Haines, Kim M. Edlund, Thomas P. Caudell, Barak A. Pearlmutter, John A. Moya

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Detecting Intrusions using System Calls: Alternative Data Models.

Christina Warrender, Stephanie Forrest, Barak A. Pearlmutter

Proceedings of the 1999 IEEE Symposium on Security and Privacy, 1999

An MEG Study of Response Latency and Variability in the Human Visual System During a Visual-Motor Integration Task.

Akaysha C. Tang, Barak A. Pearlmutter, Tim A. Hely, Michael Zibulevsky, Michael P. Weisend

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Differentiating Functions of the Jacobian with Respect to the Weights.

Gary William Flake, Barak A. Pearlmutter

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998

Results of the Abbadingo One DFA Learning Competition and a New Evidence-Driven State Merging Algorithm.

Kevin J. Lang, Barak A. Pearlmutter, Rodney A. Price

Proceedings of the Grammatical Inference, 4th International Colloquium, 1998

1996

Doing the Twist: Diagonal Meshes Are Isomorphic to Twisted Toroidal Meshes.

Barak A. Pearlmutter

IEEE Trans. Computers, 1996

VC Dimension of an Integrate-and-Fire Neuron Model.

Anthony M. Zador, Barak A. Pearlmutter

Neural Comput., 1996

Garbage Collection with Pointers to Individual Cells.

Barak A. Pearlmutter

Commun. ACM, 1996

Maximum Likelihood Blind Source Separation: A Context-Sensitive Generalization of ICA.

Barak A. Pearlmutter, Lucas C. Parra

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995

Gradient calculations for dynamic recurrent neural networks: a survey.

Barak A. Pearlmutter

IEEE Trans. Neural Networks, 1995

Time-Skew Hebb rule in a nonisopotential neuron.

Barak A. Pearlmutter

Neural Comput., 1995

1994

Fast Exact Multiplication by the Hessian.

Barak A. Pearlmutter

Neural Comput., 1994

Simplifying Neural Network Soft Weight-sharing Measures by Soft Weight-measure Soft Weight Sharing.

Barak A. Pearlmutter

Connect. Sci., 1994

Playing the Matching-Shoulders Lob-Pass Game with Logarithmic Regret.

Joe Kilian, Kevin J. Lang, Barak A. Pearlmutter

Proceedings of the Seventh Annual ACM Conference on Computational Learning Theory, 1994

1992

Comments on 'Dynamic programming approach to optimal weight selection in multilayer neural networks' [with reply].

Barak A. Pearlmutter, P. Sanatchandran

IEEE Trans. Neural Networks, 1992

Automatic Learning Rate Maximization in Large Adaptive Machines.

Yann LeCun, Patrice Y. Simard, Barak A. Pearlmutter

Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

1991

Gradient Descent: Second Order Momentum and Saturating Error.

Barak A. Pearlmutter

Proceedings of the Advances in Neural Information Processing Systems 4, 1991

1990

Chaitin-Kolmogorov Complexity and Generalization in Neural Networks.

Barak A. Pearlmutter, Ronald Rosenfeld

Proceedings of the Advances in Neural Information Processing Systems 3, 1990

1989

Learning State Space Trajectories in Recurrent Neural Networks.

Barak A. Pearlmutter

Neural Comput., 1989

1988

Oaklisp: An Object-Oriented Dialect of Scheme.

Kevin J. Lang, Barak A. Pearlmutter

LISP Symb. Comput., 1988

Using Backpropagation with Temporal Windows to Learn the Dynamics of the CMU Direct-Drive Arm II.

Kenneth Y. Goldberg, Barak A. Pearlmutter

Proceedings of the Advances in Neural Information Processing Systems 1, 1988

1986

Oaklisp: an Object-Oriented Scheme with First Class Types.

Kevin J. Lang, Barak A. Pearlmutter

Proceedings of the Conference on Object-Oriented Programming Systems, 1986