Barak A. Pearlmutter

Publication Activity (10 Years)

Years Active: 1986-2024
Publications (10 Years): 32

Top Topics

Machine Learning

Image Magnification

Top Venues

J. Funct. Program.

Publications

Thomas Flinkow, Barak A. Pearlmutter, Rosemary Monahan
Comparing Differentiable Logics for Learning with Logical Constraints. CoRR (2024)
Bradley T. Baker, Barak A. Pearlmutter, Robyn L. Miller, Vince D. Calhoun, Sergey M. Plis
Low-Rank Learning by Design: the Role of Network Architecture and Activation Linearity in Gradient Rank Collapse. CoRR (2024)
Jack Kilgallen, Barak A. Pearlmutter, Jeffrey Mark Siskind
Learning Exemplar Representations in Single-Trial EEG Category Decoding. CoRR (2024)
Medet Inkarbekov, Barak A. Pearlmutter, Rosemary Monahan
Immersive Neural Network Exploration: A VR Approach to Human-Centered AI Understanding. HCAIep (2023)
Thomas Flinkow, Barak A. Pearlmutter, Rosemary Monahan
Rich and Expressive Specification of Continuous-Learning Cyber-Physical Systems. DSN-S (2023)
Thomas Flinkow, Barak A. Pearlmutter, Rosemary Monahan
Comparing Differentiable Logics for Learning Systems: A Research Preview. CoRR (2023)
Medet Inkarbekov, Rosemary Monahan, Barak A. Pearlmutter
Visualization of AI Systems in Virtual Reality: A Comprehensive Review. CoRR (2023)
Atilim Günes Baydin, Barak A. Pearlmutter, Don Syme, Frank Wood, Philip H. S. Torr
Gradients without Backpropagation. CoRR (2022)
Mansura Habiba, Barak A. Pearlmutter
Neural Network based on Automatic Differentiation Transformation of Numeric Iterate-to-Fixedpoint. CoRR (2021)
Mansura Habiba, Eoin Borphy, Barak A. Pearlmutter, Tomás Ward
ECG synthesis with Neural ODE and GAN models. CoRR (2021)
Mehrdad Maleki, Mansura Habiba, Barak A. Pearlmutter
HeunNet: Extending ResNet using Heun's Methods. CoRR (2021)
Bradley T. Baker, Vince D. Calhoun, Barak A. Pearlmutter, Sergey M. Plis
Efficient Distributed Auto-Differentiation. CoRR (2021)
Mansura Habiba, Barak A. Pearlmutter
Continuous Convolutional Neural Networks: Coupled Neural PDE and ODE. CoRR (2021)
Mansura Habiba, Barak A. Pearlmutter
Neural Ordinary Differential Equation based Recurrent Neural Network Model. CoRR (2020)
Mansura Habiba, Barak A. Pearlmutter
Neural ODEs for Informative Missingness in Multivariate Time Series. CoRR (2020)
Robert Kelly, Barak A. Pearlmutter, Phil Maguire
Lock-Free Hopscotch Hashing. APOCS (2020)
Hang Liao, Barak A. Pearlmutter, Vamsi K. Potluru, David P. Woodruff
Automatic Differentiation of Sketched Regression. AISTATS (2020)
Barak A. Pearlmutter
Automatic Differentiation and Ubiquitous Adaptive Computing. AICS (2019)
Robert Kelly, Barak A. Pearlmutter, Phil Maguire
Lock-Free Hopscotch Hashing. CoRR (2019)
Oleksandr Manzyuk, Barak A. Pearlmutter, Alexey Andreyevich Radul, David R. Rush, Jeffrey Mark Siskind
Perturbation confusion in forward automatic differentiation of higher-order functions. J. Funct. Program. 29 (2019)
Robert Kelly, Barak A. Pearlmutter, Phil Maguire
Concurrent Robin Hood Hashing. CoRR (2018)
Robert Kelly, Barak A. Pearlmutter, Phil Maguire
Concurrent Robin Hood Hashing. OPODIS (2018)
Jeffrey Mark Siskind, Barak A. Pearlmutter
Divide-and-conquer checkpointing for arbitrary programs with no user annotation. Optim. Methods Softw. 33 (4-6) (2018)
Jeffrey Mark Siskind, Barak A. Pearlmutter
Divide-and-Conquer Checkpointing for Arbitrary Programs with No User Annotation. CoRR (2017)
Atilim Gunes Baydin, Barak A. Pearlmutter, Alexey Andreyevich Radul, Jeffrey Mark Siskind
Automatic Differentiation in Machine Learning: a Survey. J. Mach. Learn. Res. 18 (2017)
Sébastien Geeraert, Charles-Albert Lehalle, Barak A. Pearlmutter, Olivier Pironneau, Adil Reghai
Mini-symposium on automatic differentiation and its applications in the financial industry. CoRR (2017)
Atilim Günes Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind
Tricks from Deep Learning. CoRR (2016)
Jeffrey Mark Siskind, Barak A. Pearlmutter
Binomial Checkpointing for Arbitrary Programs with No User Annotation. CoRR (2016)
Robert Kelly, Barak A. Pearlmutter, Jeffrey Mark Siskind
Evolving the Incremental λ Calculus into a Model of Forward Automatic Differentiation (AD). CoRR (2016)
Atilim Günes Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind
DiffSharp: An AD Library for .NET Languages. CoRR (2016)
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
Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond. IEEE Trans. Neural Networks Learn. Syst. 27 (1) (2016)
Jeffrey Mark Siskind, Barak A. Pearlmutter
Efficient Implementation of a Higher-Order Language with Built-In AD. CoRR (2016)
Atilim Gunes Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind
DiffSharp: Automatic Differentiation Library. CoRR (2015)
Atilim Gunes Baydin, Barak A. Pearlmutter, Alexey Andreyevich Radul
Automatic differentiation in machine learning: a survey. CoRR (2015)
Atilim Gunes Baydin, Barak A. Pearlmutter
An Analysis of Publication Venues for Automatic Differentiation Research. CoRR (2014)
Atilim Gunes Baydin, Barak A. Pearlmutter
Automatic Differentiation of Algorithms for Machine Learning. CoRR (2014)
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
Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions. ECCV (5) (2014)
Vamsi K. Potluru, Sergey M. Plis, Jonathan Le Roux, Barak A. Pearlmutter, Vince D. Calhoun, Thomas P. Hayes
Block Coordinate Descent for Sparse NMF ICLR (Poster) (2013)
Alexey Radul, Barak A. Pearlmutter, Jeffrey Mark Siskind
AD in Fortran, Part 1: Design CoRR (2012)
Oleksandr Manzyuk, Barak A. Pearlmutter, Alexey Andreyevich Radul, David R. Rush, Jeffrey Mark Siskind
Confusion of Tagged Perturbations in Forward Automatic Differentiation of Higher-Order Functions CoRR (2012)
Alexey Radul, Barak A. Pearlmutter, Jeffrey Mark Siskind
AD in Fortran, Part 2: Implementation via Prepreprocessor CoRR (2012)
Míriam R. García, Mark Verwoerd, Barak A. Pearlmutter, Peter Wellstead, Richard H. Middleton
Deep brain stimulation may reduce tremor by preferential blockade of slower axons via antidromic activation. CDC/ECC (2011)
Ruairí de Fréin, Scott T. Rickard, Barak A. Pearlmutter
Constructing Time-Frequency Dictionaries for Source Separation via Time-Frequency Masking and Source Localisation. ICA (2009)
Barak A. Pearlmutter, Conor J. Houghton
A New Hypothesis for Sleep: Tuning for Criticality. Neural Comput. 21 (6) (2009)
Barak A. Pearlmutter, Jeffrey Mark Siskind
Reverse-mode AD in a functional framework: Lambda the ultimate backpropagator. ACM Trans. Program. Lang. Syst. 30 (2) (2008)
Paul D. O'Grady, Barak A. Pearlmutter
Discovering speech phones using convolutive non-negative matrix factorisation with a sparseness constraint. Neurocomputing 72 (1-3) (2008)
Fiachra Matthews, Barak A. Pearlmutter, Tomas E. Ward, Christopher J. Soraghan, Charles Markham
Hemodynamics for Brain-Computer Interfaces. IEEE Signal Process. Mag. 25 (1) (2008)
Jeffrey Mark Siskind, Barak A. Pearlmutter
Nesting forward-mode AD in a functional framework. High. Order Symb. Comput. 21 (4) (2008)
Paul D. O'Grady, Barak A. Pearlmutter
The LOST Algorithm: Finding Lines and Separating Speech Mixtures. EURASIP J. Adv. Signal Process. 2008 (2008)
Santiago Jaramillo, Barak A. Pearlmutter
Optimal Coding Predicts Attentional Modulation of Activity in Neural Systems. Neural Comput. 19 (5) (2007)
Paul D. O'Grady, Barak A. Pearlmutter
Discovering Convolutive Speech Phones Using Sparseness and Non-negativity. ICA (2007)
Barak A. Pearlmutter, Jeffrey Mark Siskind
Lazy multivariate higher-order forward-mode AD. POPL (2007)
Jeffrey Mark Siskind, Barak A. Pearlmutter
First-class nonstandard interpretations by opening closures. POPL (2007)
Edmund C. Lalor, Richard B. Reilly, Barak A. Pearlmutter, John J. Foxe
A Spectrum of Colors: Investigating the Temporal Frequency Characteristics of the Human Visual System Using a System Identification Approach. EMBC (2006)
Edmund C. Lalor, Barak A. Pearlmutter, Richard B. Reilly, Gary McDarby, John J. Foxe
The VESPA: A method for the rapid estimation of a visual evoked potential. NeuroImage 32 (4) (2006)
Paul D. O'Grady, Barak A. Pearlmutter, Scott T. Rickard
Survey of sparse and non-sparse methods in source separation. Int. J. Imaging Syst. Technol. 15 (1) (2005)
Barak A. Pearlmutter
Bounds on Query Convergence CoRR (2005)
Santiago Jaramillo, Barak A. Pearlmutter
A normative model of attention: receptive field modulation. Neurocomputing (2004)
Paul D. O'Grady, Barak A. Pearlmutter
Soft-LOST: EM on a Mixture of Oriented Lines. ICA (2004)
Roderick Murray-Smith, Barak A. Pearlmutter
Transformations of Gaussian Process Priors. Deterministic and Statistical Methods in Machine Learning (2004)
Barak A. Pearlmutter, Anthony M. Zador
Monaural Source Separation Using Spectral Cues. ICA (2004)
Sung Chan Jun, Barak A. Pearlmutter, Guido Nolte
MEG source localization using an MLP with a distributed output representation. IEEE Trans. Biomed. Eng. 50 (6) (2003)
Sung Chan Jun, Barak A. Pearlmutter
Subject-Independent Magnetoencephalographic Source Localization by a Multilayer Perceptron. NIPS (2003)
Lucas C. Parra, Christopher V. Alvino, Akaysha C. Tang, Barak A. Pearlmutter, Nick Yeung, Allen Osman, Paul Sajda
Single-trial detection in EEG and MEG: Keeping it linear. Neurocomputing (2003)
Jian Qing Shi, Roderick Murray-Smith, D. M. Titterington, Barak A. Pearlmutter
Filtered Gaussian Processes for Learning with Large Data-Sets. European Summer School on Multi-AgentControl (2003)
Akaysha C. Tang, Barak A. Pearlmutter, Natalie A. Malaszenko, Dan B. Phung
Independent Components of Magnetoencephalography: Single-Trial Response Onset Times. NeuroImage 17 (4) (2002)
Lucas C. Parra, Christopher V. Alvino, Akaysha C. Tang, Barak A. Pearlmutter, Nick Yeung, Allen Osman, Paul Sajda
Linear Spatial Integration for Single-Trial Detection in Encephalography. NeuroImage 17 (1) (2002)
Akaysha C. Tang, Barak A. Pearlmutter, Natalie A. Malaszenko, Dan B. Phung, Bethany C. Reeb
Independent Components of Magnetoencephalography: Localization. Neural Comput. 14 (8) (2002)
Michael Zibulevsky, Barak A. Pearlmutter
Blind Source Separation by Sparse Decomposition in a Signal Dictionary. Neural Comput. 13 (4) (2001)
Michael Zibulevsky, Pavel Kisilev, Yehoshua Y. Zeevi, Barak A. Pearlmutter
Blind Source Separation via Multinode Sparse Representation. NIPS (2001)
Akaysha C. Tang, Barak A. Pearlmutter, Michael Zibulevsky, Scott A. Carter
Blind source separation of multichannel neuromagnetic responses. Neurocomputing (2000)
Karen G. Haines, Kim M. Edlund, Thomas P. Caudell, Barak A. Pearlmutter, John A. Moya
Visualizing Communication between Neurons in the Lamina Ganglionaris of Musca domestica. IJCNN (3) (2000)
Gary William Flake, Barak A. Pearlmutter
Differentiating Functions of the Jacobian with Respect to the Weights. NIPS (1999)
Christina Warrender, Stephanie Forrest, Barak A. Pearlmutter
Detecting Intrusions using System Calls: Alternative Data Models. IEEE Symposium on Security and Privacy (1999)
Akaysha C. Tang, Barak A. Pearlmutter, Tim A. Hely, Michael Zibulevsky, Michael P. Weisend
An MEG Study of Response Latency and Variability in the Human Visual System During a Visual-Motor Integration Task. NIPS (1999)
Kevin J. Lang, Barak A. Pearlmutter, Rodney A. Price
Results of the Abbadingo One DFA Learning Competition and a New Evidence-Driven State Merging Algorithm. ICGI (1998)
Anthony M. Zador, Barak A. Pearlmutter
VC Dimension of an Integrate-and-Fire Neuron Model. COLT (1996)
Barak A. Pearlmutter
Doing the Twist: Diagonal Meshes Are Isomorphic to Twisted Toroidal Meshes. IEEE Trans. Computers 45 (6) (1996)
Barak A. Pearlmutter, Lucas C. Parra
Maximum Likelihood Blind Source Separation: A Context-Sensitive Generalization of ICA. NIPS (1996)
Anthony M. Zador, Barak A. Pearlmutter
VC Dimension of an Integrate-and-Fire Neuron Model. Neural Comput. 8 (3) (1996)
Barak A. Pearlmutter
Garbage Collection with Pointers to Individual Cells. Commun. ACM 39 (12es) (1996)
Barak A. Pearlmutter
Time-Skew Hebb rule in a nonisopotential neuron. Neural Comput. 7 (4) (1995)
Barak A. Pearlmutter
Gradient calculations for dynamic recurrent neural networks: a survey. IEEE Trans. Neural Networks 6 (5) (1995)
Barak A. Pearlmutter
Simplifying Neural Network Soft Weight-sharing Measures by Soft Weight-measure Soft Weight Sharing. Connect. Sci. 6 (1) (1994)
Barak A. Pearlmutter
Fast Exact Multiplication by the Hessian. Neural Comput. 6 (1) (1994)
Joe Kilian, Kevin J. Lang, Barak A. Pearlmutter
Playing the Matching-Shoulders Lob-Pass Game with Logarithmic Regret. COLT (1994)
Barak A. Pearlmutter, P. Sanatchandran
Comments on 'Dynamic programming approach to optimal weight selection in multilayer neural networks' [with reply]. IEEE Trans. Neural Networks 3 (6) (1992)
Yann LeCun, Patrice Y. Simard, Barak A. Pearlmutter
Automatic Learning Rate Maximization in Large Adaptive Machines. NIPS (1992)
Barak A. Pearlmutter
Gradient Descent: Second Order Momentum and Saturating Error. NIPS (1991)
Barak A. Pearlmutter, Ronald Rosenfeld
Chaitin-Kolmogorov Complexity and Generalization in Neural Networks. NIPS (1990)
Barak A. Pearlmutter
Learning State Space Trajectories in Recurrent Neural Networks. Neural Comput. 1 (2) (1989)
Kevin J. Lang, Barak A. Pearlmutter
Oaklisp: An Object-Oriented Dialect of Scheme. LISP Symb. Comput. 1 (1) (1988)
Kenneth Y. Goldberg, Barak A. Pearlmutter
Using Backpropagation with Temporal Windows to Learn the Dynamics of the CMU Direct-Drive Arm II. NIPS (1988)
Kevin J. Lang, Barak A. Pearlmutter
Oaklisp: an Object-Oriented Scheme with First Class Types. OOPSLA (1986)