Michael Biehl, elder publications: machine learning, neural networks, scientific computing, physics

link to publications from 2004 to date
in case of problems with downloading files, contact m.biehl _at_ rug.nl
if all fails, re-prints of most papers are available upon request (e-mail)

Michael Biehl: Publications 1989-2003

Publications in 2003

M. Biehl
The statistical physics of learning: phase transitions and dynamical symmetry breaking
(not available on-line)
invited contribution to Adaptivity and learning, an interdisciplinary debate, eds. R. Kühn et al., Springer (2003)

M. Biehl and N. Caticha
Statistical mechanics of on-line learning and generalization (preprint version, pdf)
In: Handbook of Brain Theory and Neural Networks (2nd edition)
M.A. Arbib (ed.), MIT Press, 1095-1098, 2003

M. Kotrla, F. Much, T. Volkmann, M. Biehl

Mechanism of formation of self-assembled nanostructures in heteroepitaxy

preprint version of an article in: Proc. of Int. Conference NANO'03, Brno/Cz
P. Sandera (ed.), FSI VUT Brno, 98-103, 2003.

F. Much and M. Biehl

Simulation of wetting-layer and island formation in heteroepitaxial growth
Europhys. Lett. 63:, 14-20, 2003
preprint version (pdf) available

M. Biehl, M. Ahr, W. Kinzel, F. Much
Kinetic Monte Carlo simulations of hetero-epitaxial growth
In: Proc. Europ. Materials Research Soc. Meeting 2002,
Thin Solid Films 428, 52-55, 2003

Publications in 2002

C. Bunzmann, M. Biehl, and R. Urbanczik
Supervised learning in committee machines by PCA
In: ESANN 2002, European Symposium on Artificial Neural Networks, Bruges/Belgium,
ed. M. Verleysen, d-side publishing, 125-130, 2002

M. Ahr and M. Biehl
Flat (001) surfaces of II-VI semiconductors: A lattice gas model
(arXiv) preprint version of Surface Science 505, 124-136, 2002

M. Biehl and W. Kinzel

Terrace sizes and particle currents in epitaxial growth

contribution to the International Symposium on Advanced Fluid Information, Sendai/Japan (2001)

preprint version of JSME International Journal B 45, 112 (2002)

(PDF preprint)

F. Much, M. Ahr, M. Biehl, and W. Kinzel

A Kinetic Monte Carlo method for the simulation of heteroepitaxial growth
Conference on Computational Physics, Aachen/Germany, 2001

Comp. Phys. Comm. 147, 226, 2002

M. Ahr, M. Biehl, and T. Volkmann
Modeling (001) surfaces of II-VI semiconductor
Conference on Computational Physics, Aachen/Germany, 2001
Comp. Phys. Comm. 147, 107-110, 2002 preprint version: (PDF version)

Publications in 2001

M. Biehl, C. Bunzmann, and R. Urbanczik
Training multilayer perceptrons by principal component analysis
preprint version of Physica A 302: 56 (2001)
(Minerva International Workshop Frontiers in the physics of complex systems 2001)

C. Bunzmann, M. Biehl, and R. Urbanczik
Efficiently learning multilayer perceptrons
preprint version of Phys. Rev. Lett. 86: 2166 (2001)

A. Floren, A. Freking, M. Biehl, and K.E. Linsenmair
Anthropogenic disturbance changes the mechanisms structuring aboreal tropical ant communities
preprint version of Ecography 24 (2001):547-554

F. Much, M. Ahr, M. Biehl, and W. Kinzel

Kinetic Monte Carlo simulations of dislocations in heteroepitaxial growth

preprint version of Europhys. Lett. 56, 791 (2001)

(PDF version)

M. Biehl, M. Ahr, M. Kinne, W. Kinzel, and S. Schinzer

Particle currents and the distribution of terrace sizes in unstable epitaxial growth

(arXiv) preprint version of Phys. Rev. B 64 (Brief Reports): 113405, 2001

M. Ahr and M. Biehl

Modelling sublimation and atomic layer epitaxy in the presence of competing surface reconstructions

(arXiv) preprint version of Surface Science (Letters) 488 , L553 (2001)

M. Biehl, M. Ahr, W. Kinzel, M. Sokolowski, T. Volkmann

A lattice gas model of II-VI(001) semiconductor surfaces

preprint version of Europhys. Lett. 53, 169 (2001)
jj (PDF version)

Publications in 2000

M. Biehl, M. Ahr, and E. Schlösser
Statistical physics of learning: Phase transitions in multilayered neural networks
preprint version of an article in: Advances in Solid State Physics 40, ed. B. Kramer, Vieweg (2000)

M. Biehl, R. Kühn, and I.-O. Stamatescu
Learning structured data from unspecific reinforcement
(arXiv) preprint version of J. Phys. A: Math. and Gen. 33(39): 6843-6857, 2000
Corrigendum J. Phys. A: Math. and Gen. 34 (19): 4267, 2001

M. Ahr, M. Biehl, M. Kinne, W. Kinzel,

The influence of the crystal lattice on coarsening in unstable epitaxial growth

(arXiv) preprint version of Surface Science 465: 339, 2000

doi: 10.1016/S0039-6028(00)00725-1

M. Ahr and M.Biehl,

Singularity spectra of rough growing surfaces from wavelet analysis

(arXiv) preprint version of Phys. Rev. E 62: 1773, 2000

doi: 10.1103/PhysRevE.62.1777

Publications in 1999

S. Schinzer, M.Kinne, M.Biehl, and W. Kinzel,

The role of step edge diffusion in epitaxial crystal growth

(arXiv) preprint version of Surface Science 439: 191, 1999

M. Biehl, M. Kinne, W. Kinzel, and S. Schinzer,

A simple model of epitaxial growth: the influence of step edge diffusion

preprint of an invited contribution to the CCP 1998 in Granada/Spain,

Comp. Phys. Comm. 121-122: 347, 1999

S. Schinzer, M. Sokolowski,M.Biehl, and W. Kinzel
Unconventional MBE strategies from computer simulations for optimized growth conditions>
(arXiv) preprint version of Phys. Rev. B 60: 2893, 1999
doi: 10.1103/PhysRevB.60.2893

S. Schinzer, M. Sokolowski, M.Biehl, and W. Kinzel >Evaporation and step edge diffusion in MBE
contribution to MBE-X, Cannes, 1998
(arXiv) preprint version of J. Cryst. Growth 201/202: 85-87, 1999
doi: 10.1016/S0022-0248(98)01293-7

M. Ahr, M. Biehl, R. Urbanczik
Noisy regression and classification with continuous multilayer networks
(arXiv) preprint version of J. Phys. A 32(50): L531, 1999
doi: 10.1088/0305-4470/32/27/301

M. Ahr, M. Biehl, E. Schlösser
Weight decay induced phase transitions in multilayer neural networks
(arXiv) preprint version of J. Phys. A 32: 5003, 1999
doi: 10.1088/0305-4470/32/27/301

M. Ahr, M. Biehl, R. Urbanczik
Statistical physics and practical training of soft-committee machines
(arXiv) preprint version of Eur. Phys. J. B 10, 583-588, 1999
doi: 10.1007/s100510050889

A. Freking, M. Biehl, C. Braun, W. Kinzel, and M. Meesmann,
Receiver operating characteristics of perceptrons: The influence of sample size and prevalence
preprint version of Phys. Rev. E 60, 5926-5931, 1999
doi: 10.1103/physreve.60.5926

E. Schlösser, D. Saad, and M. Biehl,
Optimisation of on-line principal component analysis
(arXiv) preprint version of J. Phys. A 32(22): 4061, 1999
doi: 10.1088/0305-4470/32/22/306

Publications in 1998

M. Biehl, W. Kinzel, and S. Schinzer
A simple model of epitaxial growth
(arXiv) preprint version of Europhys. Lett. 41: 443-448, 1998
doi: 10.1209/epl/i1998-00171-0

M. Biehl, E. Schlösser, and M. Ahr
Phase transitions in soft-committee machines
(arXiv) preprint version of Europhys. Lett. 44: 261-267, 1998
doi: 10.1209/epl/i1998-00466-6

M. Rosen-Zvi, M. Biehl, and I. Kanter
Learnability of perodic activation functions - general results
preprint version of Phys. Rev. E 58, 3606, 1998

M. Biehl, A. Freking, M. Hölzer, G. Reents, and E. Schlösser
On-line learning of prototypes and principal components
preprint version of a contribution to:
On-line learning in neural networks, D. Saad (ed.), Cambridge University Press (1998)

M. Biehl and E. Schlösser
The dynamics of on-line principal component analysis
preprint version of J.Phys. A 31 (1998), L97

M. Biehl, A. Freking, and G. Reents, E. Schlösser
Specialization processes in on-line unsupervised learning,
preprint version of a contribution to the Minerva Workshop
on Mesoscopics, Fractals and Neural Networks in Eilat (March 1997),
published in Philosophical Magazine B (1998), 1487

Publications in 1997

M. Copelli, R. Eichhorn, O. Kinouchi, M. Biehl,
R. Simonetti, P. Riegler, and N. Caticha
Noise Robustness in Multilayer Neural Networks,
preprint version of Europhys. Lett. 37 (1997), 427

M. Biehl,A. Freking, G. Reents
Dynamics of On-line Competitive Learning,
preprint version of Europhys. Lett. 38 (1997), 73

Publications in 1996

M. Biehl, P. Riegler, C. Wöhler
Transient dynamics of on-line learning in
two-layered neural networks,
preprint version of J. Phys. A: Math.Gen. 29 (1996) 4769.

C. Marangi, S.A. Solla, M. Biehl, P. Riegler
Off-line learning from clustered input examples,
Neural Nets, WIRN Vietri--95, eds. M. Marinaro, and R. Tagliaferri
final version appeared in Proceedings of the 7th Italian workshop on neural nets,
World Scientific (1996)

P. Riegler, M. Biehl, S.A. Solla, C. Marangi
On-line learning from clustered input examples,
Neural Nets, WIRN Vietri--95, eds. M Marinaro, and R Tagliaferri
final version appeared in Proceedings of the 7th Italian workshop on neural nets,
World Scientific (1996)

Publications in 1995

M. Biehl, P. Riegler, M. Stechert
Learning from noisy data: an exactly solvable model
preprint version of Phys. Rev. E. 52 (1995) 4624 (Rap. Comm.).

P. Riegler, M. Biehl
On-line backpropagation in two-layered neural networks,
preprint version of J.Phys. A: Math.Gen. 28 (1995) L507.

M. Biehl and M. Opper
Perceptron learning: the largest version space
final version appeared in: Progress in Neural Processing 1,
World Scientific (1995)

M. Biehl, H. Schwarze
Learning by on-line gradient descent
preprint version of J.Phys. A: Math.Gen. 28 (1995) 643.

C. Marangi, M. Biehl, S.A. Solla
Supervised learning from clustered input examples,
preprint version of Europhys. Lett. 30 (1995) 117.

Publications in 1994

M. Biehl and P. Riegler
On-line learning with a perceptron,
preprint version of Europhys. Lett. 28 (1994) 525.

M. Biehl
An exactly solvable model of unsupervised learning,
preprint version of Europhys. Lett. 25 (1994) 525.

M. Biehl, A. Mietzner
Statistical mechanics of unsupervised structure recognition,
preprint version of J.Phys. A: Math.Gen. 27 (1994) 1885.

Publications in 1993

T. L. H. Watkin, A. Rau, and M. Biehl
The statistical mechanics of learning a rule
Reviews of Modern Physics 65(2): 499ā-556, 1993
doi: 10.1103/RevModPhys.65.499

M. Biehl and M. Opper
Construction Algorithm for the parity-machine
Physica A 193: 307-313, 1993
doi: 10.1016/0378-4371(93)90477-L

M. Biehl and H. Schwarze
Learning drifting concepts with neural networks
J. Phys. A: Math. Gen 26: 2651-2665, 1993
doi: 10.1088/0305-4470/26/11/014

M Biehl and A. Mietzner
Statistical mechanics of unsupervised learning
Europhys. Lett. 24: 421-426, 1993
doi: 10.1209/0295-5075/24/5/017

Publications in 1992

M. Biehl and H. Schwarze
On-line learning of a time-dependent rule
Europhys. Lett. 20(8): 733-738, 1992
doi: 10.1209/0295-5075/20/8/012

Publications in 1991

M. Biehl and M. Opper
Tilinglike learning in the parity machine
Physical Review A 44, 6888-6894, 1991
doi: 10.1103/physreva.44.6888

M. Biehl, J.K. Anlauf and W. Kinzel
Perceptron Learning by constrained optimization: the AdaTron algorithm
In: Neurodynamics, Proc. 9th Summer Workshop on Mathematical Physics, Arnold Sommerfeld Institut, Clausthal/Germany,
F. Pasemann and H.D. Doebner (editors), World Scientific, pp. 194-210, 1991

Publications in 1990

J.K. Anlauf and M. Biehl
Properties of an adaptive perceptron algorithm
In: Parallel processing in neural networks and computers,
R. Eckmiller and G. Hartmann (editors), Elsevier, pp. 153-156, 1990

Publications in 1989

J.K. Anlauf and M. Biehl
The AdaTron: an adaptive perceptron algorithmm
Europhysics Letters 10: 687-692, 1989
doi: 10.1209/0295-5075/10/7/014

(Erratum: Europhysics Letters 11: 387-387, 1990)
doi: 10.1209/0295-5075/11/4/016