rubin_bibliography

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MARK A. RUBIN Bibliography I. Machine Learning, Image Processing, Computer Vision 1. Rubin, M.A. (2016). Training restricted Boltzmann machines using contrastive divergence: A pedagogical review. In preparation. 2. Rubin, M.A. (2016). Deep learning: The motivation and the math. To be presented, FIS Data Science Technical Seminar Series. 3. Rubin, M.A., Fried, D. G., Waugh, F. R., Call, B. R., Reichert, C. W., Anderson, R. W., O’Brien, K., Wirch, A., Knowlton, R. C., Heinrichs, R. M. (2010). Detection of self-propelled semi- submersibles by airborne laser radar. ISR Systems and Technology Workshop, Lexington, MA and MSS Active E-O Systems conference, Orlando, Florida. 4. Torralba, A. Murphy, K. P., Freeman, W. T. and Rubin, M. A. (2003). Context- based vision system for place and object recognition, In Ninth International Conference on Computer Vision (ICCV 2003) , Nice, France, 273-280. CITATIONS: 760 as of 2/2/16 (Google Scholar). 5. Granger, E., Rubin, M. A., Grossberg, S. and Lavoie, P. (2001). Radar ESM with a what-and-where fusion neural network. In D. J. Miller et al., eds., Neural Networks for Signal Processing XI: Proceedings of the 2001 IEEE Workshop , IEEE: New York, 539-548. 6. Granger, E., Rubin, M. A., Grossberg, S. and Lavoie, P. (2001). A what-and- where fusion neural network for recognition and tracking of multiple radar emitters. Neural Networks 3, 325-344. CITATIONS: 109 as of 2/2/16 (Google Scholar). 7. Pollen, D. P., Przybyszewski, A. W., Rubin, M. A. and Foote, W. (2001). Spatial receptive field organization of macaque V4 neurons. Cerebral Cortex 12, 601- 616. CITATIONS: 50 as of 8/28/13, including 13 since 2009 (Google Scholar). 8. Roth, B. and Rubin, M.A. (2000). An application of neural network technology to nuclear battle planning. Journal of Radiation Effects . 9. Granger, E., Rubin, M. A., Grossberg, S. and Lavoie, P. (2000). Classification of incomplete data using the fuzzy ARTMAP neural network. In Proceedings of the International Joint Conference on Neural Networks VI, 35-40. CITATIONS: 36 as of 8/28/13, including 4 since 2009 (Google Scholar). I. Machine Learning, Image Processing, Computer Vision II. Applied Quantum Mechanics and Optics III. Foundations of Quantum Mechanics

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MARK A. RUBIN

Bibliography

I. Machine Learning, Image Processing, Computer Vision 1. Rubin, M.A. (2016). Training restricted Boltzmann machines using contrastive divergence: A pedagogical review. In preparation. 2. Rubin, M.A. (2016). Deep learning: The motivation and the math. To be presented, FIS Data Science Technical Seminar Series.

3. Rubin, M.A., Fried, D. G., Waugh, F. R., Call, B. R., Reichert, C. W., Anderson, R. W., O’Brien, K., Wirch, A., Knowlton, R. C., Heinrichs, R. M. (2010). Detection of self-propelled semi-submersibles by airborne laser radar. ISR Systems and Technology Workshop, Lexington, MA and MSS Active E-O Systems conference, Orlando, Florida.4. Torralba, A. Murphy, K. P., Freeman, W. T. and Rubin, M. A. (2003). Context-based vision system for place and object

recognition, In Ninth International Conference on Computer Vision (ICCV 2003), Nice, France, 273-280. CITATIONS: 760 as of 2/2/16 (Google Scholar).5. Granger, E., Rubin, M. A., Grossberg, S. and Lavoie, P. (2001). Radar ESM with a what-and-where fusion neural

network. In D. J. Miller et al., eds., Neural Networks for Signal Processing XI: Proceedings of the 2001 IEEE Workshop, IEEE: New York, 539-548.

6. Granger, E., Rubin, M. A., Grossberg, S. and Lavoie, P. (2001). A what-and-where fusion neural network for recognition and tracking of multiple radar emitters. Neural Networks 3, 325-344.

CITATIONS: 109 as of 2/2/16 (Google Scholar).7. Pollen, D. P., Przybyszewski, A. W., Rubin, M. A. and Foote, W. (2001). Spatial receptive field organization of

macaque V4 neurons. Cerebral Cortex 12, 601-616. CITATIONS: 50 as of 8/28/13, including 13 since 2009 (Google Scholar).8. Roth, B. and Rubin, M.A. (2000). An application of neural network technology to nuclear battle planning. Journal of

Radiation Effects .9. Granger, E., Rubin, M. A., Grossberg, S. and Lavoie, P. (2000). Classification of incomplete data using the fuzzy

ARTMAP neural network. In Proceedings of the International Joint Conference on Neural Networks VI, 35-40. CITATIONS: 36 as of 8/28/13, including 4 since 2009 (Google Scholar). 10. Rubin, M. A. (1999). Rotation before recognition: orientation-invariant identification of visual textures with the

ARTEX 2 neural network. Boston University Technical Report CAS/CNS-98-016. 11. Granger, E., Grossberg, S., Lavoie, P. and Rubin, M. A. (1999). Comparison of classifiers for radar emitter type

identification. In C. H. Dagli et al., eds., Intelligent Engineering Systems Through Artificial Neural Networks 9 , 3-11.AWARD: Novel Smart Engineering Systems Designs, First Runner Up, ANNIE ’99.

12. Rubin, M. A. (1999). A familiarity-based bound on the expected error rate for classification with the fuzzy ARTMAP neural network. Boston University Technical Report CAS/CNS-98-006.

13. Rubin, M. A. and Baloch, A. (1999). Demonstration of an ARTEX implementation for recognition of visual textures (abstract). In Proceedings of the Third International Conference on Cognitive and Neural Systems, Boston University, May 26-29, 1999.

14. Granger, E., Grossberg, S., Rubin, M. A. and Streilein, W. W. (1999). Familiarity discrimination of radar pulses. In M. S. Kearns et al., eds., Advances in Neural Information Processing Systems 11 , Cambridge, MA: MIT Press, 875-881.

CITATIONS: 17 as of 8/28/13.

I. Machine Learning, Image Processing, Computer VisionII. Applied Quantum Mechanics and OpticsIII. Foundations of Quantum MechanicsIV. High-Energy Theory

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15. Pollen, D. A., Przybyszewski, A. W., Foote, W. and Rubin, M. A. (1999). Neurons in macaque V4 respond strongly to stimulus discontinuities (abstract). In Proceedings of the Third International Conference on Cognitive and Neural Systems, Boston University, May 26-29, 1999.

16. Pollen, D. A., Przybyszewski, A. W., Foote, W. and Rubin, M. A. (1999). A class of neurons in macaque V4 with homogeneous inputs (abstract). Investigations in Opthalmology and Visual Science 40, S776

17. Rubin, M. A., Cohen, M. A., Luciano, J. S. and Samsom, J. A. (1998). Outcome prediction for unipolar depression. In C. H. Dagli et al., eds., Intelligent Engineering Systems Through Artificial Neural Networks 8 , 631-636.

18. Rubin, M. A., Cohen, M. A., Luciano, J. S., and Samsom, J. A. (1998). Can we predict the outcome of treatment for depression? (abstract) In Proceedings of the Second International Conference on Cognitive and Neural Systems, Boston University, May 27-30, 1998 , 31.

19. Przybyszewski, A. W. and Rubin, M. A. (1998). Gating input to visual cortex by feedback to LGN. In Proceedings of the Workshop on Intelligent Information Systems VII , Malbork, Poland, June 1998, 136-145.

20. Carpenter, G. A, Rubin, M. A. and Streilein, W. W. (1997). Threshold determination for ARTMAP-FD familiarity discrimination. In C. H. Dagli et al., eds., Intelligent Engineering Systems Through Artificial Neural Networks 7, 23-28.

21. Carpenter, G. A., Rubin, M. A. and Streilein, W. W. (1997). ARTMAP-FD: Familiarity discrimination of range profiles (abstract). In Proceedings of Vision, Recognition, Action: Neural Models of Mind and Machine, Boston, May 1997, p. 91.

CITATIONS: 20 as of 8/28/13, including 3 since 2009 (Google Scholar).22. Carpenter, G. A, Rubin, M. A. and Streilein, W. W. (1997). ARTMAP-FD: Familiarity discrimination applied to radar

target recognition. In ICNN ’97: Proceedings of the IEEE International Conference on Neural Networks, Houston, June 1997 , III, 1459-1464.

23. Grossberg, S., Rubin, M. A. and Streilein, W. W. (1996). Buffered reset leads to improved compression in fuzzy ARTMAP classification of radar range profiles. In C. H. Dagli et al., eds., Intelligent Engineering Systems Through Artificial Neural Networks 6 , 419-424.

24. Rubin, M. A. (1995). Application of fuzzy ARTMAP and ART-EMAP to automatic target recognition using radar range profiles. Neural Networks 8, 1109-1116.

CITATIONS: 36 as of 8/28/13, including 7 since 2009 (Google Scholar).25. Rubin, M. A. (1995). Issues in automatic target recognition from radar range profiles using fuzzy ARTMAP. In World

Conference on Neural Networks—Washington, DC: 1995 International Neural Network Society Annual Meeting, July 17-21, 199 , I, 197-202.

26. Rubin, M. A. (1994). Fuzzy ARTMAP automatic target recognition from single and multiple wavelength radar range profiles. In ICNN ’94: Proceedings of the IEEE International Conference on Neural Networks, Orlando, June 1994 , III, 1613-1618.

27. Rubin, M. A. (1994). Automatic target recognition from radar range profiles using fuzzy ARTMAP. In World Conference on Neural Networks—San Diego: 1994 International Neural Network Society Annual Meeting, June 5-9, III, 291-298.

28. Rubin, M. A. (1993). Biased unsupervised pattern classification. Naval Air Warfare Center China Lake preprint.29. Rubin, M. A. (1993). Recognition mechanism for saturating sigmoid neural networks. Naval Air Warfare Center China Lake preprint.30. Rubin, M. A. (1993). Encapsulated objects for neural network simulation. Naval Air Warfare Center China Lake preprint. Abstract in ICANN ’93: Proceedings of the International Conference on Artificial Neural Networks, Amsterdam, The Netherlands, 13-16 September 1993 , eds. S. Gielen and B. Kappen, 1088.

II. Applied Quantum Mechanics and Optics31. Rubin,M.A. and Cortese, J.A. (2013). Stabilizer formalism, magic states and simulation of quantum computers.

Unpublished.

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32. Rubin, M.A and Heinrichs, R. M. (2010). Simulation of three-dimensional scanning optical synthetic aperture radar imagery with LaPS. MSS Active E-O Systems conference, Las Vegas, Nevada.

33. Rubin, M. A. and Kaushik, S., (2009) Signal-to-noise ratio in squeezed-light laser radar, Applied Optics 48, 4597- 4609. 34. Rubin, M. A. and Kaushik, S. (2008). Laser radar and quantum states of light, Coherent Optical Technologies and Applications (COTA) conference, Boston, Massachusetts. 35. Rubin, M. A. and Kaushik, S. (2007). Quantum states and coherent laser radar, Coherent Laser Radar Conference (CLRC), Snowmass, Colorado. 36. Rubin, M. A. and Kaushik, S. (2007). Loss-induced limits to phase measurement precision with maximally entangled states, Physical Review A 75 053805. CITATIONS: 55 as of 6/14/13, including 45 since 2009 (Google Scholar). 37. Rubin, M. A. and Kaushik, S. (2007). Squeezing the local oscillator does not improve signal-to-noise ratio in heterodyne laser radar, Optics Letters 32, 1369-1371. 38. Rubin, M.A., Kaushik, S. and Fried, D. (2006). Can EPR correlations enhance radar target detection? Unpublished. 39. Rubin, M. A. (2001). A quantum search algorithm for a specified number of targets. arXiv.org: quant-ph/0104028. 40. Fanchiotti, S. and Rubin, M. A. (1991). Finite element Schr¨odinger picture quantum theory: Error bounds and adaptive refinement (abstract). In Bulletin of the American Physical Society 36, 1802, program of Physics Computing ’91: 3d International Conference on Computational Physics, San Jose, California. 41. Fanchiotti, S. and Rubin, M. A. (1991). Error estimates, error bounds, and adaptive refinement in finite element quantum theory. Physical Review D 43, 3524-3533.

III. Foundations of Quantum Mechanics42. Rubin, M. A. (2011). Observers and locality in Everett quantum field theory. Foundations of Physics 41 1236-1262.43. Rubin, M. A. (2009). Explanation, evolution and subjective probability in Everett quantum mechanics with positive preclusion. arXiv:0912.4239. Under revision. 44. Rubin, M. A. (2006). Spatial degrees of freedom in Everett quantum mechanics. Foundations of Physics 36, 1115- 1159. 45. Rubin, M. A. (2005). There is no basis ambiguity in Everett quantum mechanics. Foundations of Physics Letters 17, 323-341.46. Rubin, M. A. (2002). Relative frequency and probability in the Everett interpretation of Heisenberg-picture quantum mechanics. Foundations of Physics 33, 379-405. CITATIONS: 10 as of 8/28/13, including 5 since 2009 (Google Scholar).47. Rubin, M. A. (2002). Locality in the Everett interpretation of quantum field theory. Foundations of Physics 32, 1495- 1523.

48. Rubin, M. A. (2001). Locality in the Everett interpretation of Heisenberg-picture quantum mechanics. Foundations of Physics Letters 14, 301-322 CITATIONS: 16 as of 8/28/13, including 8 since 2009 (Google Scholar).

IV. High-Energy Theory49. Ord´on˜ez, C. R., Rubin, M. A. and Zwanziger, D. (1989). Modular invariance and stochastic quantization. Physical

Review D 40, 4056-4072.50. Ord´on˜ez, C. R., Rey, S. J., Rubin, M. A. and Zucchini, R. (1989). Sewing relations and duality for BRST off-shell

string tadpole amplitudes. Physical Review D 40, 1987-1992.51. Ord´on˜ez, C. R. and Rubin, M. A. (1989). String quantization via dual Peierls brack- ets. Physics Letters B 216, 117-

122.52. Giannakis, I., Ord´on˜ez, C. R., Rubin, M. A. and Zucchini, R. (1989). Propagator, sewing rules, and vacuum

amplitude for the Polyakov point particle with ghosts. International Journal of Theoretical_Physics_28, 3-25.

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53. Ord´on˜ez, C. R., Rubin, M. A. and Zucchini, R. (1989). Path integral with ghosts for the bosonic string propagator. Journal of Physics A 22, 3399-3415. 54. Ord´on˜ez, C. R., Rubin, M. A. and Zucchini, R. (1988). Polyakov path integrals with ghosts: Closed strings and

one-loop amplitudes. Physics Letters B 215, 103-110. CITATIONS: 11 as of 8/28/13 (Google Scholar). 55. Ord´on˜ez, C. R., Rubin, M. A. and Zucchini, R. (1987). A Polyakov path integral with ghosts. In K. T.

Mahanthappa and P. G. O. Freund, eds., Superstrings: Proceedings of the NATO Advanced Research Workshop on Superstrings , Boulder, Colorado, 187-197

56. Das, S. R., Ord´on˜ez, C. R. and Rubin, M. A. (1987). Dual Peierls brackets for strings. Physics Letters B 195, 139-148.

57. Gleiser, M., Jetzer, P. and Rubin, M. A. (1987). Vacuum energy of M 4 ⊗ SM ⊗ SN in even dimensions. Physical Review D 36, 2429-2439. CITATIONS: 12 as of 8/28/13 (Google Scholar).

58. Das, S. R. and Rubin, M. A. (1986). BRST ghosts as worldsheet parameters in gauge-invariant string field theory. Physics Letters B 181, 81-86.

59. Das, S. R. and Rubin, M. A. (1986)._Worldsheet reparameterizations and the Tomonaga-Schwinger-Dirac formalism for string theory. Progress of Theoretical Physics . Supplement 86, 143-158.

60. Das, S. R. and Rubin, M. A. (1986). A Tomonaga-Schwinger-Dirac formulation for string theories. Physics Letters B 169, 182-186.

CITATIONS: 10 as of 8/28/13 (Google Scholar).61. Rubin, M. A. (1986). Path integral measures for two-dimensional fermion theories. Journal of Physics A 19, 2105- 2114.62. Das, S. R. and Rubin, M. A. (1986). Reparameterizations and gauge and general-coordinate transformation in

string field theory. In L. Clavelli and A. Halprin, eds., Proceedings of the Lewes Superstring Workshop 1985 , World Scientific Press, 170-190.

63. Rubin, M. A. (1986). Kaluza-Klein cosmology: Techniques for quantum computations. In E.W. Kolb et al., eds., Inner Space/Outer Space , University of Chicago Press, 583-588.

64. Ord´on˜ez, C. R. and Rubin, M. A. (1985). Graviton dominance in quantum Kaluza- Klein theory. Nuclear Physics B 260, 456-496.CITATIONS: 38 as of 8/28/13, including 4 since 2009 (Google Scholar).

65. Ord´on˜ez, C. R. and Rubin, M. A. (1985). Symmetric-tensor eigenspectrum of the Laplacian on n-spheres. Journal of Mathematical Physics 26, 65-67. CITATIONS: 52 as of 8/28/13, including 11 since 2009 (Google Scholar).66. Gilbert, G., McClain, B. and Rubin, M. A. (1984). Dynamical quantum effects in Kaluza-Klein theories. Physics Letters B 142, 28-34. CITATIONS: 27 as of 8/28/13 (Google Scholar).67. Ord´on˜ez, C. R. and Rubin, M. A. (1984). Eigenvalues and degeneracies for n-dimensional tensor spherical harmonics. Journal of Mathematical Physics 25, 2888-2894. CITATIONS: 87 as of 8/28/13, including 21 since 2009.68. Roth, B. D. B. and Rubin, M. A. (1983). Fermions and stability in five-dimensional Kaluza-Klein theory. Physics Letters B 127, 55-60.

CITATIONS: 88 as of 8/28/13, including 2 since 2013 (Google Scholar).69. Rubin, M. A. and Roth, B. D. B. (1983). Temperature effects in five-dimensional Kaluza-Klein theory. Nuclear Physics B 226, 444-454.

CITATIONS: 64 as of 8/28/13, including 1 since 2009 (Google Scholar). REPRINTED: T. Appelquist et al., eds., Modern Kaluza-Klein Theories , (1987) Benjamin, 364-374.

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70. Nepomechie, R. I., Rubin, M. A. and Hosotani,Y. (1981). A new formulation of the string action. Physics Letters B 105, 457-461.

71. Freund, P. G. O. and Rubin, M. A. (1980). Dynamics of dimensional reduction. Physics Letters B 97, 233-235. CITATIONS: 883 as of 8/28/13, including 43 since 2012 (Google Scholar). REPRINTED: T. Appelquist et al, eds., Modern Kaluza-Klein Theories, (1987) Benjamin, 210-212. REPRINTED: A. Salam and E. Sezgin, eds., Supergravities in Diverse Dimensions, (1989) North Holland/World Scientific, 1310-1.

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