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ORCIDBarak A. Pearlmutter
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2020 – today
- 2024
[i31]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 abs/2402.06751 (2024)- [i30]Jack Kilgallen, Barak A. Pearlmutter, Jeffrey Mark Siskind:
Learning Exemplar Representations in Single-Trial EEG Category Decoding. CoRR abs/2406.16902 (2024) - [i29]Thomas Flinkow, Barak A. Pearlmutter, Rosemary Monahan:
Comparing Differentiable Logics for Learning with Logical Constraints. CoRR abs/2407.03847 (2024) - [i28]Adam D. Cobb, Atilim Günes Baydin, Barak A. Pearlmutter, Susmit Jha:
Second-Order Forward-Mode Automatic Differentiation for Optimization. CoRR abs/2408.10419 (2024) - [i27]Mansura Habiba, Barak A. Pearlmutter, Mehrdad Maleki:
Recent Trends in Modelling the Continuous Time Series using Deep Learning: A Survey. CoRR abs/2409.09106 (2024) - 2023
- [c34]Thomas Flinkow, Barak A. Pearlmutter, Rosemary Monahan:
Rich and Expressive Specification of Continuous-Learning Cyber-Physical Systems. DSN-S 2023: 197-199 - [c33]Medet Inkarbekov
, Barak A. Pearlmutter, Rosemary Monahan:
Immersive Neural Network Exploration: A VR Approach to Human-Centered AI Understanding. HCAIep 2023: 48 - [c32]Thomas Flinkow, Barak A. Pearlmutter, Rosemary Monahan:
Comparing Differentiable Logics for Learning Systems: A Research Preview. FMAS@iFM 2023: 17-29 - [i26]Medet Inkarbekov, Rosemary Monahan, Barak A. Pearlmutter:
Visualization of AI Systems in Virtual Reality: A Comprehensive Review. CoRR abs/2306.15545 (2023) - 2022
- [i25]Atilim Günes Baydin, Barak A. Pearlmutter, Don Syme, Frank Wood, Philip H. S. Torr:
Gradients without Backpropagation. CoRR abs/2202.08587 (2022) - 2021
- [i24]Bradley T. Baker, Vince D. Calhoun, Barak A. Pearlmutter, Sergey M. Plis:
Efficient Distributed Auto-Differentiation. CoRR abs/2102.09631 (2021) - [i23]Mehrdad Maleki, Mansura Habiba, Barak A. Pearlmutter:
HeunNet: Extending ResNet using Heun's Methods. CoRR abs/2105.06168 (2021) - [i22]Mansura Habiba, Eoin Borphy, Barak A. Pearlmutter, Tomás Ward:
ECG synthesis with Neural ODE and GAN models. CoRR abs/2111.00314 (2021) - [i21]Mansura Habiba, Barak A. Pearlmutter:
Neural Network based on Automatic Differentiation Transformation of Numeric Iterate-to-Fixedpoint. CoRR abs/2111.00326 (2021) - [i20]Mansura Habiba, Barak A. Pearlmutter:
Continuous Convolutional Neural Networks: Coupled Neural PDE and ODE. CoRR abs/2111.00343 (2021) - 2020
- [c31]Hang Liao, Barak A. Pearlmutter, Vamsi K. Potluru, David P. Woodruff:
Automatic Differentiation of Sketched Regression. AISTATS 2020: 4367-4376 - [c30]Robert Kelly, Barak A. Pearlmutter, Phil Maguire:
Lock-Free Hopscotch Hashing. APOCS 2020: 45-59 - [i19]Mansura Habiba, Barak A. Pearlmutter:
Neural Ordinary Differential Equation based Recurrent Neural Network Model. CoRR abs/2005.09807 (2020) - [i18]Mansura Habiba, Barak A. Pearlmutter:
Neural ODEs for Informative Missingness in Multivariate Time Series. CoRR abs/2005.10693 (2020)
2010 – 2019
- 2019
- [j31]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: e12 (2019) - [c29]Barak A. Pearlmutter:
Automatic Differentiation and Ubiquitous Adaptive Computing. AICS 2019: 3 - [i17]Robert Kelly, Barak A. Pearlmutter, Phil Maguire:
Lock-Free Hopscotch Hashing. CoRR abs/1911.03028 (2019) - 2018
- [j30]Jeffrey Mark Siskind, Barak A. Pearlmutter:
Divide-and-conquer checkpointing for arbitrary programs with no user annotation. Optim. Methods Softw. 33(4-6): 1288-1330 (2018) - [c28]Robert Kelly, Barak A. Pearlmutter, Phil Maguire:
Concurrent Robin Hood Hashing. OPODIS 2018: 10:1-10:16 - [i16]Robert Kelly, Barak A. Pearlmutter, Phil Maguire:
Concurrent Robin Hood Hashing. CoRR abs/1809.04339 (2018) - 2017
- [j29]Atilim Gunes Baydin, Barak A. Pearlmutter, Alexey Andreyevich Radul, Jeffrey Mark Siskind:
Automatic Differentiation in Machine Learning: a Survey. J. Mach. Learn. Res. 18: 153:1-153:43 (2017) - [i15]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 abs/1703.02311 (2017) - [i14]Jeffrey Mark Siskind, Barak A. Pearlmutter:
Divide-and-Conquer Checkpointing for Arbitrary Programs with No User Annotation. CoRR abs/1708.06799 (2017) - 2016
- [j28]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): 1-7 (2016) - [i13]Jeffrey Mark Siskind, Barak A. Pearlmutter:
Binomial Checkpointing for Arbitrary Programs with No User Annotation. CoRR abs/1611.03410 (2016) - [i12]Jeffrey Mark Siskind, Barak A. Pearlmutter:
Efficient Implementation of a Higher-Order Language with Built-In AD. CoRR abs/1611.03416 (2016) - [i11]Atilim Günes Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind:
DiffSharp: An AD Library for .NET Languages. CoRR abs/1611.03423 (2016) - [i10]Robert Kelly, Barak A. Pearlmutter, Jeffrey Mark Siskind:
Evolving the Incremental λ Calculus into a Model of Forward Automatic Differentiation (AD). CoRR abs/1611.03429 (2016) - [i9]Atilim Günes Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind:
Tricks from Deep Learning. CoRR abs/1611.03777 (2016) - 2015
- [i8]Atilim Gunes Baydin, Barak A. Pearlmutter, Alexey Andreyevich Radul:
Automatic differentiation in machine learning: a survey. CoRR abs/1502.05767 (2015) - [i7]Atilim Gunes Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind:
DiffSharp: Automatic Differentiation Library. CoRR abs/1511.07727 (2015) - 2014
- [c27]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: 612-627 - [i6]Atilim Gunes Baydin, Barak A. Pearlmutter:
Automatic Differentiation of Algorithms for Machine Learning. CoRR abs/1404.7456 (2014) - [i5]Atilim Gunes Baydin, Barak A. Pearlmutter:
An Analysis of Publication Venues for Automatic Differentiation Research. CoRR abs/1409.7316 (2014) - 2013
- [c26]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 - 2012
- [i4]Alexey Radul, Barak A. Pearlmutter, Jeffrey Mark Siskind:
AD in Fortran, Part 1: Design. CoRR abs/1203.1448 (2012) - [i3]Alexey Radul, Barak A. Pearlmutter, Jeffrey Mark Siskind:
AD in Fortran, Part 2: Implementation via Prepreprocessor. CoRR abs/1203.1450 (2012) - [i2]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 abs/1211.4892 (2012) - 2011
- [c25]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: 6481-6486
2000 – 2009
- 2009
- [j27]Barak A. Pearlmutter, Conor J. Houghton:
A New Hypothesis for Sleep: Tuning for Criticality. Neural Comput. 21(6): 1622-1641 (2009) - [c24]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: 573-580 - 2008
- [j26]Paul D. O'Grady, Barak A. Pearlmutter:
The LOST Algorithm: Finding Lines and Separating Speech Mixtures. EURASIP J. Adv. Signal Process. 2008 (2008) - [j25]Paul D. O'Grady, Barak A. Pearlmutter:
Discovering speech phones using convolutive non-negative matrix factorisation with a sparseness constraint. Neurocomputing 72(1-3): 88-101 (2008) - [j24]Jeffrey Mark Siskind, Barak A. Pearlmutter:
Nesting forward-mode AD in a functional framework. High. Order Symb. Comput. 21(4): 361-376 (2008) - [j23]Fiachra Matthews, Barak A. Pearlmutter, Tomas E. Ward, Christopher J. Soraghan, Charles Markham:
Hemodynamics for Brain-Computer Interfaces. IEEE Signal Process. Mag. 25(1): 87-94 (2008) - [j22]Barak A. Pearlmutter, Jeffrey Mark Siskind:
Reverse-mode AD in a functional framework: Lambda the ultimate backpropagator. ACM Trans. Program. Lang. Syst. 30(2): 7:1-7:36 (2008) - 2007
- [j21]Santiago Jaramillo, Barak A. Pearlmutter:
Optimal Coding Predicts Attentional Modulation of Activity in Neural Systems. Neural Comput. 19(5): 1295-1312 (2007) - [c23]Paul D. O'Grady, Barak A. Pearlmutter:
Discovering Convolutive Speech Phones Using Sparseness and Non-negativity. ICA 2007: 520-527 - [c22]Jeffrey Mark Siskind, Barak A. Pearlmutter:
First-class nonstandard interpretations by opening closures. POPL 2007: 71-76 - [c21]Barak A. Pearlmutter, Jeffrey Mark Siskind:
Lazy multivariate higher-order forward-mode AD. POPL 2007: 155-160 - [p1]Hiroki Asari, Rasmus Kongsgaard Olsson, Barak A. Pearlmutter, Anthony M. Zador:
Sparsification for Monaural Source Separation. Blind Speech Separation 2007: 387-410 - 2006
- [j20]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): 1549-1561 (2006) - [c20]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: 3720-3723 - 2005
- [j19]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): 18-33 (2005) - [i1]Barak A. Pearlmutter:
Bounds on Query Convergence. CoRR abs/cs/0511088 (2005) - 2004
- [j18]Santiago Jaramillo, Barak A. Pearlmutter:
A normative model of attention: receptive field modulation. Neurocomputing 58-60: 613-618 (2004) - [c19]Roderick Murray-Smith, Barak A. Pearlmutter:
Transformations of Gaussian Process Priors. Deterministic and Statistical Methods in Machine Learning 2004: 110-123 - [c18]Paul D. O'Grady, Barak A. Pearlmutter:
Soft-LOST: EM on a Mixture of Oriented Lines. ICA 2004: 430-436 - [c17]Barak A. Pearlmutter, Anthony M. Zador:
Monaural Source Separation Using Spectral Cues. ICA 2004: 478-485 - 2003
- [j17]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 52-54: 177-183 (2003) - [j16]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): 786-789 (2003) - [c16]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: 128-139 - [c15]Sung Chan Jun, Barak A. Pearlmutter:
Subject-Independent Magnetoencephalographic Source Localization by a Multilayer Perceptron. NIPS 2003: 741-748 - 2002
- [j15]Akaysha C. Tang, Barak A. Pearlmutter, Natalie A. Malaszenko, Dan B. Phung, Bethany C. Reeb:
Independent Components of Magnetoencephalography: Localization. Neural Comput. 14(8): 1827-1858 (2002) - [j14]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): 223-230 (2002) - [j13]Akaysha C. Tang, Barak A. Pearlmutter, Natalie A. Malaszenko, Dan B. Phung:
Independent Components of Magnetoencephalography: Single-Trial Response Onset Times. NeuroImage 17(4): 1773-1789 (2002) - 2001
- [j12]Michael Zibulevsky, Barak A. Pearlmutter:
Blind Source Separation by Sparse Decomposition in a Signal Dictionary. Neural Comput. 13(4): 863-882 (2001) - [c14]Michael Zibulevsky, Pavel Kisilev, Yehoshua Y. Zeevi, Barak A. Pearlmutter:
Blind Source Separation via Multinode Sparse Representation. NIPS 2001: 1049-1056 - 2000
- [j11]Akaysha C. Tang, Barak A. Pearlmutter, Michael Zibulevsky, Scott A. Carter:
Blind source separation of multichannel neuromagnetic responses. Neurocomputing 32-33: 1115-1120 (2000) - [c13]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: 53-60
1990 – 1999
- 1999
- [c12]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: 185-191 - [c11]Gary William Flake, Barak A. Pearlmutter:
Differentiating Functions of the Jacobian with Respect to the Weights. NIPS 1999: 435-441 - [c10]Christina Warrender, Stephanie Forrest, Barak A. Pearlmutter:
Detecting Intrusions using System Calls: Alternative Data Models. S&P 1999: 133-145 - 1998
- [c9]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: 1-12 - 1996
- [j10]Barak A. Pearlmutter:
Garbage Collection with Pointers to Individual Cells. Commun. ACM 39(12es): 202-206 (1996) - [j9]Anthony M. Zador, Barak A. Pearlmutter:
VC Dimension of an Integrate-and-Fire Neuron Model. Neural Comput. 8(3): 611-624 (1996) - [j8]Barak A. Pearlmutter:
Doing the Twist: Diagonal Meshes Are Isomorphic to Twisted Toroidal Meshes. IEEE Trans. Computers 45(6): 766-767 (1996) - [c8]Anthony M. Zador, Barak A. Pearlmutter:
VC Dimension of an Integrate-and-Fire Neuron Model. COLT 1996: 10-18 - [c7]Barak A. Pearlmutter, Lucas C. Parra:
Maximum Likelihood Blind Source Separation: A Context-Sensitive Generalization of ICA. NIPS 1996: 613-619 - 1995
- [j7]Barak A. Pearlmutter:
Time-Skew Hebb rule in a nonisopotential neuron. Neural Comput. 7(4): 706-712 (1995) - [j6]Barak A. Pearlmutter:
Gradient calculations for dynamic recurrent neural networks: a survey. IEEE Trans. Neural Networks 6(5): 1212-1228 (1995) - 1994
- [j5]Barak A. Pearlmutter:
Simplifying Neural Network Soft Weight-sharing Measures by Soft Weight-measure Soft Weight Sharing. Connect. Sci. 6(1): 105 (1994) - [j4]Barak A. Pearlmutter:
Fast Exact Multiplication by the Hessian. Neural Comput. 6(1): 147-160 (1994) - [c6]Joe Kilian, Kevin J. Lang, Barak A. Pearlmutter:
Playing the Matching-Shoulders Lob-Pass Game with Logarithmic Regret. COLT 1994: 159-164 - 1992
- [j3]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): 1028-1029 (1992) - [c5]Yann LeCun, Patrice Y. Simard, Barak A. Pearlmutter:
Automatic Learning Rate Maximization in Large Adaptive Machines. NIPS 1992: 156-163 - 1991
- [c4]Barak A. Pearlmutter:
Gradient Descent: Second Order Momentum and Saturating Error. NIPS 1991: 887-894 - 1990
- [c3]Barak A. Pearlmutter, Ronald Rosenfeld:
Chaitin-Kolmogorov Complexity and Generalization in Neural Networks. NIPS 1990: 925-931
1980 – 1989
- 1989
- [j2]Barak A. Pearlmutter:
Learning State Space Trajectories in Recurrent Neural Networks. Neural Comput. 1(2): 263-269 (1989) - 1988
- [j1]Kevin J. Lang, Barak A. Pearlmutter:
Oaklisp: An Object-Oriented Dialect of Scheme. LISP Symb. Comput. 1(1): 39-51 (1988) - [c2]Kenneth Y. Goldberg, Barak A. Pearlmutter:
Using Backpropagation with Temporal Windows to Learn the Dynamics of the CMU Direct-Drive Arm II. NIPS 1988: 356-363 - 1986
- [c1]Kevin J. Lang, Barak A. Pearlmutter:
Oaklisp: an Object-Oriented Scheme with First Class Types. OOPSLA 1986: 30-37
Coauthor Index
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