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Conference proceedings and book chapters

  1. P Sollich. Learning in large linear perceptrons and why the thermodynamic limit is relevant to the real world. In G Tesauro, D S Touretzky, and T K Leen, editors, Advances in Neural Information Processing Systems 7, pages 207-214, Cambridge, MA, 1995. MIT Press.
    Abstract and full paper

  2. P Sollich and D Saad. Learning from queries for maximum information gain in imperfectly learnable problems. In G Tesauro, D S Touretzky, and T K Leen, editors, Advances in Neural Information Processing Systems 7, pages 287-294, Cambridge, MA, 1995. MIT Press.
    Abstract and full paper

  3. P Sollich. Minimum entropy queries for linear students learning nonlinear rules. In Verleysen M, editor, Third European Symposium on Artificial Neural Networks (ESANN'95), Proceedings, pages 217-222, Brussels, 1995. D facto.
    Abstract and full paper

  4. P Sollich and A Krogh. Learning with ensembles: When over-fitting can be useful. In D S Touretzky, M C Mozer, and M E Hasselmo, editors, Advances in Neural Information Processing Systems 8, pages 190-196, Cambridge, MA, 1996. MIT Press.
    Abstract and full paper

  5. P Sollich and D Barber. Online learning from finite training sets: An analytical case study. In M C Mozer and M I Jordan and T Petsche, editors, Advances in Neural Information Processing Systems 9, pages 274-280, Cambridge, MA, 1997. MIT Press.
    Abstract and full paper

  6. P Sollich. Query learning for maximum information gain in a multi-layer neural network. In S W Ellacott, J C Mason, and I J Anderson, editors, Mathematics of Neural Networks: Models, Algorithms and Applications, pages 339-343, Boston, MA, 1997. Kluwer Academic.
    Abstract and full paper

  7. D Barber, P Sollich, and D Saad. Finite size effects in on-line learning in multilayer neural networks. In S W Ellacott, J C Mason, and I J Anderson, editors, Mathematics of Neural Networks: Models, Algorithms and Applications, pages 84-88, Boston, MA, 1997. Kluwer Academic.
    Abstract and full paper

  8. M E Cates and P Sollich. Rheology and glassy dynamics of foams. In J F Sadoc and N Rivier, editors, Foams and Emulsions, pages 207-236, Dordrecht, 1999. Kluwer Academic.
    Abstract and full paper

  9. P Sollich and D Barber. Online learning from finite training sets in non-linear networks. In M I Jordan, M J Kearns, and S A Solla, editors, Advances in Neural Information Processing Systems 10, pages 357-363, Cambridge, MA, 1998. MIT Press.
    Abstract and full paper

  10. D Barber and P Sollich. On-line learning from finite training sets. In D Saad, editor, On-line learning in neural networks, pages 279-302, Cambridge, 1998. Cambridge University Press.
    Abstract and full paper

  11. P Sollich. Learning curves for Gaussian processes. In M S Kearns, S A Solla, and D A Cohn, editors, Advances in Neural Information Processing Systems 11, pages 344-350, Cambridge, MA, 1999. MIT Press.
    Abstract and full paper

  12. H C Rae, P Sollich, and A C C Coolen. On-Line Learning with Restricted Training Sets: Exact Solution as Benchmark for General Theories. In M S Kearns, S A Solla, and D A Cohn, editors, Advances in Neural Information Processing Systems 11, pages 316-322, Cambridge, MA, 1999. MIT Press.
    Abstract and full paper

  13. P Sollich. Approximate learning curves for Gaussian processes. In ICANN99 - Ninth International Conference on Artificial Neural Networks, pages 437-442, London, 1999. The Institution of Electrical Engineers.
    Abstract and full paper

  14. P Sollich. Probabilistic interpretation and Bayesian methods for Support Vector Machines. In ICANN99 - Ninth International Conference on Artificial Neural Networks, pages 91-96, London, 1999. The Institution of Electrical Engineers.
    Abstract and full paper

  15. P Sollich. Probabilistic methods for Support Vector Machines. In S A Solla, T K Leen and K-R Müller, editors, Advances in Neural Information Processing Systems 12, pages 349-355, Cambridge, MA, 2000. MIT Press.
    Abstract and full paper

  16. D Barber and P Sollich. Gaussian fields for approximate inference in layered sigmoid belief networks. In S A Solla, T K Leen and K-R Müller, editors, Advances in Neural Information Processing Systems 12, pages 393-399, Cambridge, MA, 2000. MIT Press.
    Abstract and full paper

  17. P Sollich. Gaussian process regression with mismatched models. In T G Dietterich, S Becker and Z Ghahramani, editors, Advances in Neural Information Processing Systems 14, pages 519-526, Cambridge, MA, 2002. MIT Press.
    Abstract and full paper

  18. M Fasolo, P Sollich and A Speranza. Phase equilibria in polydisperse colloidal systems. React. Funct. Polym., 58:187-196, 2004.
    Abstract and full paper

  19. P Mayer and P Sollich. Exact non-equilibrium fluctuation dissipation relations for multi-spin observables in the Glauber-Ising spin chain. Slow dynamics in complex systems, AIP Conference Proceedings 708(1):703-704, 2004.
    Abstract and full paper

  20. S M Fielding and P Sollich. Fluctuation-dissipation relations in ageing and driven non-mean field glass models. Slow dynamics in complex systems, AIP Conference Proceedings 708(1):639-642, 2004.
    Abstract and full paper

  21. P Sollich and C K I Williams. Using the equivalent kernel to understand Gaussian process regression. In L K Saul, Y Weiss and L Bottou, editors, Advances in Neural Information Processing Systems 17, pages 1313-1320, Cambridge, MA, 2005. MIT Press.
    Abstract and full paper

  22. P Sollich. Soft glassy rheology. In R G Weiss, P Terech, editors, Molecular Gels: Materials with Self-Assembled Fibrillar Networks, pages 161-192, Dordrecht, 2006. Springer.
    Abstract and full paper

  23. P Sollich and C K I Williams. Understanding Gaussian process regression using the equivalent kernel. In J Winkler, N Lawrence and M Niranjan, editors, Deterministic and Statistical Methods in Machine Learning, Lecture Notes in Artificial Intelligence 3635, pages 199-210, Berlin, 2005. Springer.
    Abstract and full paper

  24. P Sollich. Can Gaussian process regression be made robust against model mismatch? In J Winkler, N Lawrence and M Niranjan, editors, Deterministic and Statistical Methods in Machine Learning, Lecture Notes in Artificial Intelligence 3635, pages 211-228, Berlin, 2005. Springer.
    Abstract and full paper

  25. C Gold and P Sollich. Fast Bayesian Support Vector Machine parameter tuning with the Nystrom method. In International Joint Conference on Neural Networks (IJCNN) 2005, vols. 1-5, pages 2820-2825, New York, 2005. IEEE.
    Abstract and full paper

  26. N B Wilding and P Sollich. Liquid-vapour phase behaviour of a polydisperse Lennard-Jones fluid. Journal of Physics: Condensed Matter, 17(45):S3245-S3252, 2005.
    Abstract and full paper

  27. L Khoo, Z Cvetkovic, and P Sollich. Robustness of phoneme classification in different representation spaces. Proceedings of EUSIPCO 2006, Florence, Italy, September 4-8, 2006.
    Abstract and full paper

  28. Z Ghahramani, T L Griffiths, P Sollich. Bayesian nonparametric latent feature models. In J M Bernardo, M J Bayarri, J O Berger, A P Dawid, D Heckerman, A F M Smith and M West, editors, Bayesian Statistics 8, pages 201-225, 2007. Oxford University Press.
    Abstract and full paper

  29. N Betteridge, Z Cvetkovic and P Sollich. Phoneme classification in frequency subbands using ensemble methods. In 15th International Conference on Digital Signal Processing, pages 511-514, 2007. IEEE.
    Abstract and full paper

  30. D Barber and P Sollich. Stable Belief Propagation in Gaussian DAGs. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2007, vol. 2, pages 409-412, 2007. IEEE.
    Abstract and full paper

  31. J Yousafzai, M Ager, Z Cvetkovic and P Sollich. Discriminative and generative machine learning approaches towards robust phoneme classification. In Information Theory and Applications, 2008.
    Abstract and full paper

  32. M Ager, Z Cvetkovic, P Sollich and Bin Yu. Towards robust phoneme classification: Augmentation of PLP models with acoustic waveforms. In Proceedings of European Signal Processing Conference, 2008.
    Abstract and full paper

  33. J Yousafzai, Z Cvetkovic, P Sollich and Bin Yu. Combined PLP-acoustic waveform classification for robust phoneme recognition using Support Vector Machines. In Proceedings of European Signal Processing Conference, 2008.
    Abstract and full paper

  34. M Ager, Z Cvetkovic and P Sollich. Robust phoneme classification: Exploiting the adaptability of acoustic waveform models. In Proceedings of European Signal Processing Conference, 2009.
    Abstract and full paper

  35. J Yousafzai, Z Cvetkovic and P Sollich. Custom-designed SVM kernels for improved robustness of phoneme classification. In Proceedings of European Signal Processing Conference, 2009.
    Abstract and full paper

  36. J Yousafzai, Z Cvetkovic and P Sollich. Tuning Support Vector Machines for robust phoneme classification with acoustic waveforms. In Proceedings of Interspeech 2009: 10th Annual Conference of the International Speech Communication Association, pages 2359-2362, 2009.
    Abstract and full paper

  37. P Sollich, M Urry and C Coti. Kernels and learning curves for Gaussian process regression on random graphs. In Y Bengio, D Schuurmans, J Lafferty, C K I Williams and A Culotta, editors, Advances in Neural Information Processing Systems 22, pages 1723-1731, 2009.
    Abstract and full paper

  38. M Ager, Z Cvetkovic and P Sollich. High-dimensional linear representations for robust speech recognition. In 2010 Information Theory and Applications Workshop (ITA 2010), pages 1-5, 2010.
    Abstract and full paper

  39. P Sollich and R L Jack. Duality symmetries in driven one-dimensional hopping models. Progress of Theoretical Physics Supplement, 184:200-210, 2010.
    Abstract and full paper

  40. R L Jack and P Sollich. Large deviations and ensembles of trajectories in stochastic models. Progress of Theoretical Physics Supplement, 184:304-317, 2010.
    Abstract and full paper

  41. J P Garrahan, P Sollich and C Toninelli. Kinetically constrained models. In L Berthier, G Biroli, J-P Bouchaud, L Cipelletti and W van Saarloos, editors, pages 341-369, Oxford University Press, 2011.
    Abstract and full paper

  42. J Yousafzai, Z Cvetkovic and P Sollich. Towards robust phoneme classification with hybrid features. In 2010 IEEE International Symposium on Information Theory Proceedings (ISIT), pages 1643-1647, 2010.
    Abstract and full paper

  43. J Yousafzai, Z Cvetkovic and P Sollich. Subband acoustic waveform front-end for robust speech recognition using support vector machines. In 2010 IEEE Spoken Language Technology Workshop (SLT), pages 253-258, 2010.
    Abstract and full paper

  44. M Urry and P Sollich. Exact learning curves for Gaussian process regression on large random graphs. In J Lafferty and C K I Williams and J Shawe-Taylor and R S Zemel and A Culotta, editors, Advances in Neural Information Processing Systems 23, pages 2316-2324, 2010.
    Abstract and full paper

  45. M Ager, Z Cvetkovic and P Sollich. Combined waveform-cepstral representation for robust speech recognition. 2011 IEEE International Symposium on Information Theory Proceedings (ISIT), pages 864-868, 2011.
    Abstract and full paper

  46. J K Yousafzai, Z Cvetkovic, M Ager and P Sollich. Redundancy in speech signals and robustness of automatic speech recognition. XIII International Symposium on Problems of Redundancy in Information and Control Systems (RED), pages 93-98, 2012.
    Abstract and full paper

  47. P Sollich and S R F Ashton. Learning curves for multi-task Gaussian process regression. In P Bartlett, editor, Advances in Neural Information Processing Systems 25, pages 1781-1789, 2013. Curran Associates.
    Abstract and full paper

  48. M Pica Ciamarra and P Sollich. Density anomalies and high-order jamming crossovers. 4th International Symposium on Slow Dynamics in Complex Systems, AIP Conf. Proc., 1518:176-180, 2013.
    Abstract and full paper

  49. J K Yousafzai, Z Cvetkovic and P Sollich. Effects of domain-specific SVM kernel design on the robustness of automatic speech recognition. In DSP2013, Proceedings of 18th International Conference on Digital Signal Processing, 2013.
    Abstract and full paper

  50. M P Ciamarra and P Sollich. Elastic models of the glass transition applied to a liquid with density anomalies. In: Proceedings of 7th International Discussion Meeting on Relaxations in Complex Systems (IDMRCS), Journal of Non-Crystalline Solids, 407:23-28, 2015.
    Abstract and full paper

  51. A Aloric, P Sollich and P McBurney. Spontaneous Segregation of Agents Across Double Auction Markets. In F Amblard, F J Miguel, A Blanchet and B Gaudou, editors, Advances in Artificial Economics, Lecture Notes in Economics and Mathematical Systems, 676:79-90, 2015.
    Abstract and full paper


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Last updated Mon Oct 17 2016
Contact: Peter Sollich
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