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Hilbert J. Kappen
H. J. Kappen – Bert Kappen
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- affiliation: Radboud University Nijmegen, Netherlands
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2020 – today
- 2024
- [j48]Onno Huijgen
, Luuk Coopmans
Training quantum Boltzmann machines with the β-variational quantum eigensolver. Mach. Learn. Sci. Technol. 5(2): 25017 (2024) - 2020
- [j47]Dominik Thalmeier, Hilbert J. Kappen, Simone Totaro, Vicenç Gómez:
Adaptive Smoothing for Path Integral Control. J. Mach. Learn. Res. 21: 191:1-191:37 (2020) - [i34]Dominik Thalmeier, Hilbert J. Kappen, Simone Totaro, Vicenç Gómez:
Adaptive Smoothing Path Integral Control. CoRR abs/2005.06364 (2020)
2010 – 2019
- 2019
- [j46]S. A. Menchón
Learning effective state-feedback controllers through efficient multilevel importance samplers. Int. J. Control 92(12): 2776-2783 (2019) - [j45]Kimberly McGuire
Minimal navigation solution for a swarm of tiny flying robots to explore an unknown environment. Sci. Robotics 4(35) (2019) - 2017
- [j44]Kimberly McGuire, Guido de Croon, Christophe De Wagter
Efficient Optical Flow and Stereo Vision for Velocity Estimation and Obstacle Avoidance on an Autonomous Pocket Drone. IEEE Robotics Autom. Lett. 2(2): 1070-1076 (2017) - [j43]Satoshi Satoh
An Iterative Method for Nonlinear Stochastic Optimal Control Based on Path Integrals. IEEE Trans. Autom. Control. 62(1): 262-276 (2017) - [j42]Hans-Christian Ruiz
Particle Smoothing for Hidden Diffusion Processes: Adaptive Path Integral Smoother. IEEE Trans. Signal Process. 65(12): 3191-3203 (2017) - [i33]Carlo Baldassi, Federica Gerace, Hilbert J. Kappen, Carlo Lucibello, Luca Saglietti, Enzo Tartaglione, Riccardo Zecchina:
On the role of synaptic stochasticity in training low-precision neural networks. CoRR abs/1710.09825 (2017) - 2016
- [j41]Dominik Thalmeier, Marvin Uhlmann, Hilbert J. Kappen, Raoul-Martin Memmesheimer:
Learning Universal Computations with Spikes. PLoS Comput. Biol. 12(6) (2016) - [c47]Vicenç Gómez, Sep Thijssen, Andrew Symington, Stephen Hailes, Hilbert J. Kappen:
Real-Time Stochastic Optimal Control for Multi-Agent Quadrotor Systems. ICAPS 2016: 468-476 - [c46]Vicenç Gómez
Correcting Multivariate Auto-Regressive Models for the Influence of Unobserved Common Input. CCIA 2016: 177-186 - [c45]Kimberly McGuire, Guido C. H. E. de Croon, Christophe De Wagter
Local histogram matching for efficient optical flow computation applied to velocity estimation on pocket drones. ICRA 2016: 3255-3260 - [i32]Kimberly McGuire, Guido C. H. E. de Croon, Christophe De Wagter, Bart Remes, Karl Tuyls, Hilbert J. Kappen:
Local Histogram Matching for Efficient Optical Flow Computation Applied to Velocity Estimation on Pocket Drones. CoRR abs/1603.07644 (2016) - [i31]Hans-Christian Ruiz, H. J. Kappen:
Particle Smoothing for Hidden Diffusion Processes: Adaptive Path Integral Smoother. CoRR abs/1605.00278 (2016) - [i30]Dominik Thalmeier, Vicenç Gómez, Hilbert J. Kappen:
Action selection in growing state spaces: Control of Network Structure Growth. CoRR abs/1606.07777 (2016) - [i29]Kimberly McGuire, Guido de Croon, Christophe De Wagter, Karl Tuyls, Hilbert J. Kappen:
Efficient Optical flow and Stereo Vision for Velocity Estimation and Obstacle Avoidance on an Autonomous Pocket Drone. CoRR abs/1612.06702 (2016) - [i28]Bert Kappen, Wim Wiegerinck:
Bonaparte: Bayesian Networks to Give Victims back their Names. ERCIM News 2016(107) (2016) - 2015
- [i27]Vicenç Gómez, Sep Thijssen, Hilbert J. Kappen, Stephen Hailes, Andrew Symington:
Real-Time Stochastic Optimal Control for Multi-agent Quadrotor Swarms. CoRR abs/1502.04548 (2015) - [i26]Hilbert J. Kappen:
Adaptive importance sampling for control and inference. CoRR abs/1505.01874 (2015) - 2014
- [j40]Hilbert J. Kappen, Vicenç Gómez
The Variational Garrote. Mach. Learn. 96(3): 269-294 (2014) - [j39]Alberto Llera
Adaptive Multiclass Classification for Brain Computer Interfaces. Neural Comput. 26(6): 1108-1127 (2014) - [j38]Joris Bierkens
Explicit solution of relative entropy weighted control. Syst. Control. Lett. 72: 36-43 (2014) - [c44]Vicenç Gómez
Policy Search for Path Integral Control. ECML/PKDD (1) 2014: 482-497 - [c43]Takamitsu Matsubara, Vicenç Gómez, Hilbert J. Kappen:
Latent Kullback Leibler Control for Continuous-State Systems using Probabilistic Graphical Models. UAI 2014: 583-592 - [i25]Takamitsu Matsubara, Vicenç Gómez, Hilbert J. Kappen:
Latent Kullback Leibler Control for Continuous-State Systems using Probabilistic Graphical Models. CoRR abs/1406.0993 (2014) - [i24]Vicenç Gómez, Hilbert J. Kappen, Michael Chertkov:
Approximate inference on planar graphs using Loop Calculus and Belief Propagation. CoRR abs/1408.2034 (2014) - 2013
- [j37]Joaquín J. Torres
Emerging phenomena in neural networks with dynamic synapses and their computational implications. Frontiers Comput. Neurosci. 7: 30 (2013) - [j36]Mohammad Gheshlaghi Azar, Rémi Munos, Hilbert J. Kappen:
Minimax PAC bounds on the sample complexity of reinforcement learning with a generative model. Mach. Learn. 91(3): 325-349 (2013) - [j35]Vicenç Gómez
A likelihood-based framework for the analysis of discussion threads. World Wide Web 16(5-6): 645-675 (2013) - [c42]Hilbert J. Kappen, Vicenç Gómez, Manfred Opper:
Optimal Control as a Graphical Model Inference Problem. ICAPS 2013 - [p2]Wim Wiegerinck, Willem Burgers, Bert Kappen:
Bayesian Networks, Introduction and Practical Applications. Handbook on Neural Information Processing 2013: 401-431 - [i23]Martijn A. R. Leisink, Hilbert J. Kappen:
General Lower Bounds based on Computer Generated Higher Order Expansions. CoRR abs/1301.0581 (2013) - [i22]Vladimir Y. Chernyak, Michael Chertkov, Joris Bierkens
Stochastic Optimal Control as Non-equilibrium Statistical Mechanics: Calculus of Variations over Density and Current. CoRR abs/1306.6572 (2013) - [i21]H. J. Kappen:
Comment: Causal entropic forces. CoRR abs/1312.4185 (2013) - 2012
- [j34]Mohammad Gheshlaghi Azar, Vicenç Gómez, Hilbert J. Kappen:
Dynamic policy programming. J. Mach. Learn. Res. 13: 3207-3245 (2012) - [j33]Hilbert J. Kappen, Vicenç Gómez
Optimal control as a graphical model inference problem. Mach. Learn. 87(2): 159-182 (2012) - [j32]Alberto Llera
Adaptive Classification on Brain-Computer Interfaces Using Reinforcement Signals. Neural Comput. 24(11): 2900-2923 (2012) - [c41]Mohammad Gheshlaghi Azar, Rémi Munos, Bert Kappen:
On the Sample Complexity of Reinforcement Learning with a Generative Model . ICML 2012 - [c40]Vicenç Gómez
Learning price-elasticity of smart consumers in power distribution systems. SmartGridComm 2012: 647-652 - [i20]Vicenç Gómez, Hilbert J. Kappen, Nelly Litvak, Andreas Kaltenbrunner:
A likelihood-based framework for the analysis of discussion threads. CoRR abs/1203.0652 (2012) - [i19]Bart van den Broek, Wim Wiegerinck, Hilbert J. Kappen:
Risk Sensitive Path Integral Control. CoRR abs/1203.3523 (2012) - [i18]Max Welling, Yee Whye Teh, Hilbert J. Kappen:
Hybrid Variational/Gibbs Collapsed Inference in Topic Models. CoRR abs/1206.3297 (2012) - [i17]Wim Wiegerinck, Bart van den Broek, Hilbert J. Kappen:
Stochastic Optimal Control in Continuous Space-Time Multi-Agent Systems. CoRR abs/1206.6866 (2012) - [i16]Joris M. Mooij, Hilbert J. Kappen:
Sufficient conditions for convergence of Loopy Belief Propagation. CoRR abs/1207.1405 (2012) - [i15]Vicenç Gómez, Michael Chertkov, Scott Backhaus, Hilbert J. Kappen:
Learning Price-Elasticity of Smart Consumers in Power Distribution Systems. CoRR abs/1209.5656 (2012) - [i14]Tom Heskes, Kees Albers, Hilbert J. Kappen:
Approximate Inference and Constrained Optimization. CoRR abs/1212.2480 (2012) - 2011
- [j31]Bart van den Broek, Wim Wiegerinck, Bert Kappen:
Stochastic optimal control of state constrained systems. Int. J. Control 84(3): 597-615 (2011) - [j30]Alberto Llera
On the use of interaction error potentials for adaptive brain computer interfaces. Neural Networks 24(10): 1120-1127 (2011) - [c39]Vicenç Gómez
Modeling the structure and evolution of discussion cascades. HT 2011: 181-190 - [c38]Mohammad Gheshlaghi Azar, Rémi Munos, Mohammad Ghavamzadeh, Hilbert J. Kappen:
Speedy Q-Learning. NIPS 2011: 2411-2419 - [c37]Mohammad Gheshlaghi Azar, Vicenç Gómez, Bert Kappen:
Dynamic Policy Programming with Function Approximation. AISTATS 2011: 119-127 - [i13]Ali Taylan Cemgil, Bert Kappen:
Monte Carlo Methods for Tempo Tracking and Rhythm Quantization. CoRR abs/1106.4863 (2011) - [i12]Bert Kappen, Martijn A. R. Leisink:
Bound Propagation. CoRR abs/1106.4865 (2011) - [i11]H. J. Kappen:
The Binary Garrote. CoRR abs/1109.0486 (2011) - [i10]Joris Bierkens, Bert Kappen:
KL-learning: Online solution of Kullback-Leibler control problems. CoRR abs/1112.1996 (2011) - 2010
- [j29]Willem Burgers, Wim Wiegerinck, Bert Kappen, Mirano Spalburg:
A Bayesian petrophysical decision support system for estimation of reservoir compositions. Expert Syst. Appl. 37(12): 7526-7532 (2010) - [j28]Vicenç Gómez, Hilbert J. Kappen, Michael Chertkov:
Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation. J. Mach. Learn. Res. 11: 1273-1296 (2010) - [c36]Thomas Mensink
EP for Efficient Stochastic Control with Obstacles. ECAI 2010: 675-680 - [c35]Bart van den Broek, Wim Wiegerinck, Hilbert J. Kappen:
Risk Sensitive Path Integral Control. UAI 2010: 615-622 - [p1]Wim Wiegerinck, Bert Kappen, Willem Burgers:
Bayesian Networks for Expert Systems: Theory and Practical Applications. Interactive Collaborative Information Systems 2010: 547-578 - [i9]Mohammad Gheshlaghi Azar, Hilbert J. Kappen:
Dynamic Policy Programming. CoRR abs/1004.2027 (2010) - [i8]Vicenç Gómez, Hilbert J. Kappen, Andreas Kaltenbrunner:
Modeling the structure and evolution of discussion cascades. CoRR abs/1011.0673 (2010)
2000 – 2009
- 2009
- [c34]A. L. Arenas, Vicenç Gómez
Sparse matrix factorization for brain computer interfaces. ACII 2009: 1-6 - [c33]Jorge F. Mejías
Switching Dynamics of Neural Systems in the Presence of Multiplicative Colored Noise. IWANN (1) 2009: 17-23 - [c32]Vicenç Gómez, Hilbert J. Kappen, Michael Chertkov:
Approximate inference on planar graphs using Loop Calculus and Belief Propagation. UAI 2009: 195-202 - [i7]Bert Kappen, Vicenç Gómez, Manfred Opper:
Optimal control as a graphical model inference problem. CoRR abs/0901.0633 (2009) - [i6]Vicenç Gómez, Hilbert J. Kappen, Michael Chertkov:
Approximate inference on planar graphs using Loop Calculus and Belief Propagation. CoRR abs/0901.0786 (2009) - 2008
- [j27]Bart van den Broek, Wim Wiegerinck, Bert Kappen:
Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems. J. Artif. Intell. Res. 32: 95-122 (2008) - [c31]Vicenç Gómez, Andreas Kaltenbrunner, Vicente López, Hilbert J. Kappen:
Self-organization using synaptic plasticity. NIPS 2008: 513-520 - [c30]Joris M. Mooij, Hilbert J. Kappen:
Bounds on marginal probability distributions. NIPS 2008: 1105-1112 - [c29]Max Welling, Yee Whye Teh, Bert Kappen:
Hybrid Variational/Gibbs Collapsed Inference in Topic Models. UAI 2008: 587-594 - 2007
- [j26]Joaquín J. Torres
Attractor neural networks with activity-dependent synapses: The role of synaptic facilitation. Neurocomputing 70(10-12): 2022-2025 (2007) - [j25]Joris M. Mooij, Hilbert J. Kappen:
Loop Corrections for Approximate Inference on Factor Graphs. J. Mach. Learn. Res. 8: 1113-1143 (2007) - [j24]Vicenç Gómez, Joris M. Mooij, Hilbert J. Kappen:
Truncating the Loop Series Expansion for Belief Propagation. J. Mach. Learn. Res. 8: 1987-2016 (2007) - [j23]Daniele Marinazzo
Input-Driven Oscillations in Networks with Excitatory and Inhibitory Neurons with Dynamic Synapses. Neural Comput. 19(7): 1739-1765 (2007) - [j22]Joaquín J. Torres
Competition Between Synaptic Depression and Facilitation in Attractor Neural Networks. Neural Comput. 19(10): 2739-2755 (2007) - [j21]Joris M. Mooij, Hilbert J. Kappen:
Sufficient Conditions for Convergence of the Sum-Product Algorithm. IEEE Trans. Inf. Theory 53(12): 4422-4437 (2007) - [c28]Bart van den Broek, Wim Wiegerinck, Bert Kappen:
Optimal Control in Large Stochastic Multi-agent Systems. Adaptive Agents and Multi-Agents Systems 2007: 15-26 - [c27]Bastian Wemmenhove, Joris M. Mooij, Wim Wiegerinck, Martijn A. R. Leisink, Hilbert J. Kappen, Jan P. Neijt:
Inference in the Promedas Medical Expert System. AIME 2007: 456-460 - [c26]Wim Wiegerinck, Bart van den Broek, Bert Kappen:
Optimal on-line scheduling in stochastic multiagent systems in continuous space-time. AAMAS 2007: 112 - [c25]Joris M. Mooij, Bastian Wemmenhove, Bert Kappen, Tommaso Rizzo:
Loop Corrected Belief Propagation. AISTATS 2007: 331-338 - [i5]Bastian Wemmenhove, Bert Kappen:
Loop corrections for message passing algorithms in continuous variable models. CoRR abs/0705.4566 (2007) - 2006
- [j20]Cornelis A. Albers, Martijn A. R. Leisink, Hilbert J. Kappen:
The Cluster Variation Method for Efficient Linkage Analysis on Extended Pedigrees. BMC Bioinform. 7(S-1) (2006) - [j19]Jesús M. Cortés, Joaquín J. Torres
Effects of Fast Presynaptic Noise in Attractor Neural Networks. Neural Comput. 18(3): 614-633 (2006) - [j18]Ali Taylan Cemgil
A generative model for music transcription. IEEE Trans. Speech Audio Process. 14(2): 679-694 (2006) - [c24]Wim Wiegerinck, Bart van den Broek, Bert Kappen:
Stochastic Optimal Control in Continuous Space-Time Multi-Agent Systems. UAI 2006 - [i4]Tommaso Rizzo, Bastian Wemmenhove, Hilbert J. Kappen:
On Cavity Approximations for Graphical Models. CoRR abs/cond-mat/0608312 (2006) - [i3]Joris M. Mooij, Bert Kappen:
Loop corrections for approximate inference. CoRR abs/cs/0612030 (2006) - [i2]Vicenç Gómez, Joris M. Mooij, Hilbert J. Kappen:
Truncating the loop series expansion for Belief Propagation. CoRR abs/cs/0612109 (2006) - 2005
- [c23]Joris M. Mooij, Hilbert J. Kappen:
Sufficient Conditions for Convergence of Loopy Belief Propagation. UAI 2005: 396-403 - [i1]Joris M. Mooij, Hilbert J. Kappen:
Sufficient conditions for convergence of the Sum-Product Algorithm. CoRR abs/cs/0504030 (2005) - 2004
- [c22]Joris M. Mooij, Hilbert J. Kappen:
Validity Estimates for Loopy Belief Propagation on Binary Real-world Networks. NIPS 2004: 945-952 - 2003
- [j17]Ali Taylan Cemgil, Bert Kappen:
Monte Carlo Methods for Tempo Tracking and Rhythm Quantization. J. Artif. Intell. Res. 18: 45-81 (2003) - [j16]Martijn A. R. Leisink, Hilbert J. Kappen:
Bound Propagation. J. Artif. Intell. Res. 19: 139-154 (2003) - [c21]Tom Heskes, Kees Albers, Bert Kappen:
Approximate Inference and Constrained Optimization. UAI 2003: 313-320 - 2002
- [j15]Lovorka Pantic, Joaquín J. Torres
Associative Memory with Dynamic Synapses. Neural Comput. 14(12): 2903-2923 (2002) - [j14]Tom Heskes
Approximate algorithms for neural-Bayesian approaches. Theor. Comput. Sci. 287(1): 219-238 (2002) - [c20]Martijn A. R. Leisink, Hilbert J. Kappen, Han G. Brunner:
Linkage Analysis: A Bayesian Approach. ICANN 2002: 595-600 - [c19]Ali Taylan Cemgil, Bert Kappen:
Integrating Tempo Tracking and Quantization using Particle Filtering. ICMC 2002 - [c18]Martijn A. R. Leisink, Hilbert J. Kappen:
General Lower Bounds based on Computer Generated Higher Order Expansions. UAI 2002: 293-300 - 2001
- [j13]Lovorka Pantic, Joaquín J. Torres
On the role of dynamical synapses in coincidence detection. Neurocomputing 38-40: 285-291 (2001) - [j12]Martijn A. R. Leisink, Hilbert J. Kappen:
A Tighter Bound for Graphical Models. Neural Comput. 13(9): 2149-2171 (2001) - [c17]Ali Taylan Cemgil, Bert Kappen:
Bayesian Real-time Adaptation for Interactive Performance Systems. ICMC 2001 - [c16]Hilbert J. Kappen, Wim Wiegerinck:
Novel iteration schemes for the Cluster Variation Method. NIPS 2001: 415-422 - [c15]Martijn A. R. Leisink, Bert Kappen:
Means, Correlations and Bounds. NIPS 2001: 455-462 - [c14]Ali Taylan Cemgil, Bert Kappen:
Tempo tracking and rhythm quantization by sequential Monte Carlo. NIPS 2001: 1361-1368 - 2000
- [j11]Ali Taylan Cemgil, Peter Desain, Bert Kappen:
Rhythm Quantization for Transcription. Comput. Music. J. 24(2): 60-76 (2000) - [j10]Shotaro Akaho
Nonmonotonic Generalization Bias of Gaussian Mixture Models. Neural Comput. 12(6): 1411-1427 (2000) - [j9]Wim Wiegerinck, Bert Kappen:
Approximations of Bayesian Networks through KL Minimisation. New Gener. Comput. 18(2): 167-176 (2000) - [j8]Martijn A. R. Leisink, Hilbert J. Kappen:
Learning in higher order Boltzmann machines using linear response. Neural Networks 13(3): 329-335 (2000) - [c13]Bart J. Bakker, Bert Kappen, Tom Heskes:
Survival Analysis: A Neural-Bayesian Approach. ANNIMAB 2000: 162-167 - [c12]Ali Taylan Cemgil, Bert Kappen, Peter Desain, Henkjan Honing:
On tempo tracking: Tempogram Representation and Kalman filtering. ICMC 2000 - [c11]Hilbert J. Kappen, Wim Wiegerinck:
Second Order Approximations for Probability Models. NIPS 2000: 238-244 - [c10]Martijn A. R. Leisink, Hilbert J. Kappen:
A Tighter Bound for Graphical Models. NIPS 2000: 266-272
1990 – 1999
- 1999
- [j7]Wim Wiegerinck, Hilbert J. Kappen, E. W. M. T. ter Braak, W. J. P. P. ter Burg, Marcel J. Nijman, Y. L. O, Jan P. Neijt:
Approximate inference for medical diagnosis. Pattern Recognit. Lett. 20(11-13): 1231-1239 (1999) - [c9]O. Ying-Lie, W. J. P. P. ter Burg, E. W. M. T. ter Braak, Jan P. Neijt, W. A. J. J. Wiegerinck, Marcel J. Nijman, Hilbert J. Kappen:
A Development Protocol for a Diagnostic DSS. MIE 1999: 755-758 - 1998
- [j6]Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz
Efficient Learning in Boltzmann Machines Using Linear Response Theory. Neural Comput. 10(5): 1137-1156 (1998) - 1997
- [j5]Marcel J. Nijman, Hilbert J. Kappen:
Symmetry Breaking and Training from Incomplete Data with Radial Basis Boltzmann Machines. Int. J. Neural Syst. 8(3): 301-315 (1997) - [j4]Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz
Mean field approach to learning in Boltzmann Machine. Pattern Recognit. Lett. 18(11-13): 1317-1322 (1997) - [c8]Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz
Accelerated Learning in Boltzmann Machines Using Mean Field Theory. ICANN 1997: 301-306 - [c7]Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz:
Boltzmann Machine Learning Using Mean Field Theory and Linear Response Correction. NIPS 1997: 280-286 - 1996
- [c6]Marcel J. Nijman, Hilbert J. Kappen:
Efficient Learning in Sparsely Connected Boltzmann Machines. ICANN 1996: 41-46 - [c5]David M. J. Tax, Hilbert J. Kappen:
Learning Structure with Many-Take-All Networks. ICANN 1996: 95-100 - [c4]Hilbert J. Kappen, Pablo Varona:
Dynamic Feature Linking in Stochastic Networks with Short Range Interactions. ICANN 1996: 101-106 - 1995
- [j3]Hilbert J. Kappen:
Deterministic learning rules for boltzmann machines. Neural Networks 8(4): 537-548 (1995) - [c3]Danny Linders, Bert Kappen:
Stochastic Resonance and Multi-modal Firing Patterns in Single-neuron Models. SNN Symposium on Neural Networks 1995: 63-66 - [e1]Bert Kappen, Stan C. A. M. Gielen:
Neural Networks: Artificial Intelligence and Industrial Applications - Proceedings of the Third Annual SNN Symposium on Neural Networks, Nijmegen, The Netherlands, September 14-15, 1995. Springer 1995, ISBN 978-3-540-19992-2 [contents] - 1993
- [c2]Tom Heskes
Error potentials for self-organization. ICNN 1993: 1219-1223 - 1991
- [j2]H. J. Kappen:
An efficient heuristic for standard-cell placement. Integr. 10(3): 251-269 (1991) - 1990
- [j1]Hilbert J. Kappen, C. Gielen:
Neurocomputing research in The Netherlands. Neurocomputing 2(1): 35-38 (1990) - [c1]H. J. Kappen, F. M. J. de Bont:
An efficient placement method for large standard-cell and sea-of-gates designs. EURO-DAC 1990: 312-316
Coauthor Index
Wim Wiegerinck
aka: W. A. J. J. Wiegerinck
aka: W. A. J. J. Wiegerinck
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