Eric Laloy

Person

Laloy, Eric

  • Engineered and Geosystems Analysis

Person: Employee

  1. 2022
  2. A hybrid method for characterizing tillage-induced soil physical quality at the profile scale with fine spatial details

    Alonso, A., Froidevaux, M., Laloy, E., Mattern, S., Roisin, C., Vanclooster, M. & Bielders, C., 1 Feb 2022, In: Soil & Tillage Research. 216, p. 1-12 12 p., 105236.

    Research output: Contribution to journalArticlepeer-review

  3. Using deep generative neural networks to account for model errors in Markov chain Monte Carlo inversion

    Levy, S., Hunziker, J., Laloy, E., Irving, J. & Linde, N., 1 Feb 2022, In: Geophysical Journal International. 228, p. 1098-1118 21 p.

    Research output: Contribution to journalArticlepeer-review

  4. 2021
  5. Soil radioactivity-depth profiles from regularized inversion of borehole gamma spectrometry data

    Hasan, M., Rogiers, B., Laloy, E., Rutten, J., Camps, J., Vidmar, T. & Huysmans, M., 27 Dec 2021, In: Journal of environmental radioactivity. 243, p. 1-23 23 p., 106807.

    Research output: Contribution to journalArticlepeer-review

  6. Towards a scientific-based assessment of long-term durability and performance of cementitious materials for radioactive waste conditioning and disposal

    Jacques, D., Phung, Q. T., Perko, J., Seetharam, S., Maes, N., Liu, S., Yu, L., Rogiers, B. & Laloy, E., 15 Dec 2021, In: Journal of Nuclear Materials. 557, p. 1-22 22 p., 153201.

    Research output: Contribution to journalArticlepeer-review

  7. A new framework for experimental design using Bayesian Evidential Learning : The case of wellhead protection area

    Thibaut, R., Laloy, E. & Hermans, T., 1 Dec 2021, In: Journal of Hydrology. 603, p. 1-18 18 p., 126903.

    Research output: Contribution to journalArticlepeer-review

  8. An integrated approach to assess the alkali silica reaction of cemented wastes

    Phung, Q. T., Frederickx, L., Nguyen, T. N., Seetharam, S., Laloy, E., Verbeeck, J., Gybels, D., Huys, T. & Valgaeren, C., 30 Sep 2021, Proceedings of PREDIS May Workshop 2021: Date 30.9.2021 version Final. Oksa, M. & Holt, E. (eds.). EC - European Commission, p. 1-9 9 p.

    Research output: Contribution to report/book/conference proceedingsIn-proceedings paperpeer-review

  9. A new framework for experimental design using Bayesian Evidential Learning: The case of wellhead protection area

    Thibaut, R., Laloy, E. & Hermans, T., 5 Sep 2021, In: Journal of Hydrology. 603, p. 1-18 18 p., 16903.

    Research output: Contribution to journalArticlepeer-review

  10. Bayesian inference of 1D activity profiles from segmented gamma scanning of a heterogeneous radioactive waste drum

    Laloy, E., Rogiers, B., Bielen, A. & Boden, S., 1 Sep 2021, In: Applied Radiation and Isotopes. 175, p. 1-10 10 p., 109803.

    Research output: Contribution to journalArticlepeer-review

  11. Adaptive sequential Monte Carlo for posterior inference and model selection among complex geological priors

    Amaya, M., Linde, N. & Laloy, E., 1 Aug 2021, In: Geophysical Journal International. 226, p. 1220-1238 19 p.

    Research output: Contribution to journalArticlepeer-review

  12. Bayesian inference of root architectural model parameters from synthetic field data

    Morandage, S., Laloy, E., Schnepf, A., Vereecken, H. & Vanderborght, J., 21 Jul 2021, In: Plant and Soil. 467, p. 67-89 23 p.

    Research output: Contribution to journalArticlepeer-review

  13. Deep generative models in inversion: The impact of the generator’s nonlinearity and development of a new approach based on a variational autoencoder

    Lopez-Alvis, J., Laloy, E., Nguyen, F. & Hermans, T., 1 Jul 2021, In: Computers and Geosciences. 152, p. 1-18 18 p., 104762.

    Research output: Contribution to journalArticlepeer-review

  14. Approaching geoscientific inverse problems with vector-to-image domain transfer networks

    Laloy, E., Linde, N. & Jacques, D., 1 Jun 2021, In: Advances in Water Resources. 152, p. 1-18 18 p., 103917.

    Research output: Contribution to journalArticlepeer-review

  15. Editorial - broadening the use of machine learning in hydrology

    Shen, C., Chen, X. & Laloy, E., 11 May 2021, In: Frontiers in Water. 3, p. 1-4 4 p., 681023.

    Research output: Contribution to journalArticlepeer-review

  16. 2020
  17. Electron spin resonance (ESR), optically stimulated luminescence (OSL) and terrestrial cosmogenic radionuclide (TCN) dating of quartz from a Plio- Pleistocene sandy formation in the Campine area, NE Belgium

    Beerten, K., Verbeeck, K., Laloy, E., Vanacker, V., Vandenberghe, D., Christl, M., De Grave, J. & Wouters, L., 10 Aug 2020, In: Quaternary International. 556, p. 144-158 15 p.

    Research output: Contribution to journalArticlepeer-review

  18. Pixel-wise conditioned generative adversarial networks for image synthesis and completion

    Ruffino, C., Hérault, R. C., Laloy, E. & Gasso, G., 20 Apr 2020, In: Neurocomputing. p. 1-13 13 p.

    Research output: Contribution to journalArticlepeer-review

  19. 2019
  20. Gradient-based deterministic inversion of geophysical data with generative adversarial networks: Is it feasible?

    Laloy, E., Linde, N., Ruffino, C., Hérault, R. C., Gasso, G. & Jacques, D., 1 Dec 2019, In: Computers and Geosciences. 133, p. 1-12 12 p., 104333.

    Research output: Contribution to journalArticlepeer-review

  21. Nested multiresolution hierarchical simulated annealing algorithm for porous media reconstruction

    Lemmens, L., Rogiers, B., Jacques, D., Huysmans, M., Swennen, R., Urai, J. L., Desbois, G. & Laloy, E., 1 Nov 2019, In: Physical Review E. 100, 5, 053316.

    Research output: Contribution to journalArticlepeer-review

  22. Emulation of CPU-demanding reactive transport models: a comparison of Gaussian processes, polynomial chaos expansion, and deep neural networks

    Laloy, E. & Jacques, D., 1 Oct 2019, In: Computational Geosciences. 23, 5, p. 1193-1215 23 p.

    Research output: Contribution to journalArticlepeer-review

  23. A mesoscale framework for analysis of corrosion induced damage of concrete

    Seetharam, S., Laloy, E., Jivkov, A., Yu, L., Phung, Q. T., Phuong Pham, N., Kursten, B. & Druyts, F., 20 Aug 2019, In: Construction and Building Materials. 216, p. 347-361 14 p.

    Research output: Contribution to journalArticlepeer-review

  24. Bayesian full-waveform tomography with application to crosshole ground penetrating radar data

    Hunziker, J., Laloy, E. & Linde, N., 1 Aug 2019, In: Geophysical Journal International. 218, 2, p. 913-931 19 p.

    Research output: Contribution to journalArticlepeer-review

  25. Scale-dependent parameterization of groundwater–surface water interactions in a regional hydrogeological model

    Di Ciacca, A., Leterme, B., Laloy, E., Jacques, D. & Vanderborght, J., 27 Jun 2019, In: Journal of Hydrology. 576, p. 494-507 16 p.

    Research output: Contribution to journalArticlepeer-review

  26. 2018
  27. HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community

    Shen, C., Laloy, E., Elshorbagy, A., Albert, A., Bales, J., Chang, F-J., Ganguly, S., Hsu, K-L., Kifer, D., Fang, Z., Fang, K., Li, D., Li, X. & Tsai, W-P., 1 Nov 2018, In: Hydrology and Earth System Sciences. 22, p. 5639–5656 18 p.

    Research output: Contribution to journalArticlepeer-review

  28. Training-Image Based Geostatistical Inversion Using a Spatial Generative Adversarial Neural Network

    Laloy, E., Hérault, R., Jacques, D. & Linde, N., 8 Jan 2018, In: Water Resources Research. 54, 1, p. 381-406 26 p.

    Research output: Contribution to journalArticlepeer-review

  29. 2017
  30. Inversion using a new low-dimensional representation of complex binary geological media based on a deep neural network

    Laloy, E., Hérault, R., Lee, J., Jacques, D. & Linde, N., 4 Oct 2017, In: Advances in Water Resources. 110, p. 387-405 18 p.

    Research output: Contribution to journalArticlepeer-review

  31. Inference of multi-Gaussian relative permittivity fields by probabilistic inversion of crosshole ground-penetrating radar data

    Hunziker, J., Laloy, E. & Linde, N., 1 Sep 2017, In: GEOPHYSICS. 82, 5, p. 25-40 16 p.

    Research output: Contribution to journalArticlepeer-review

  32. Bayesian inversion of a CRN depth profile to infer Quaternary erosion of the northwestern Campine Plateau (NE Belgium)

    Laloy, E., Beerten, K., Vanacker, V., Christl, M., Rogiers, B. & Wouters, L., 4 Jul 2017, In: Earth Surface Dynamics. 5, p. 331-345 14 p.

    Research output: Contribution to journalArticlepeer-review

  33. 2016
  34. Analysis of pumping tests in a sandy aquifer in Northern Belgium

    Neyens, C., Gedeon, M., Rogiers, B. & Laloy, E., 1 Jun 2016, KUL - Katholieke Universiteit Leuven. 163 p.

    Research output: ThesisMaster's thesis

  35. Merging parallel tempering with sequential geostatistical resampling for improved posterior exploration of high-dimensional subsurface categorical fields

    Laloy, E., Jacques, D., Linde, N. & Mariethoz, G., 1 Apr 2016, In: Advances in Water Resources. 90, p. 57-69

    Research output: Contribution to journalArticlepeer-review

  36. 2015
  37. Probabilistic inference of multi-Gaussian fields from indirect hydrological data using circulant embedding and dimensionality reduction

    Laloy, E., Linde, N., Jacques, D. & Vrugt, J. A., Jun 2015, In: Water Resources Research. 51, 6, p. 4224-4243

    Research output: Contribution to journalArticlepeer-review

  38. Unsaturated flow modeling with HYDRUS and UZF: calibration and intercomparison.

    Leterme, B., Gedeon, M., Laloy, E. & Rogiers, B., Jun 2015, MODFLOW and More 2015: Modeling a Complex World. Proceedings. United States, p. 48-52

    Research output: Contribution to report/book/conference proceedingsIn-proceedings paperpeer-review

  39. Bayesian inversions of a dynamic vegetation model at four European grassland sites

    Minet, J., Laloy, E., Tychon, B. & François, L., May 2015, In: Biogeosciences. 12, 9, p. 2809-2829

    Research output: Contribution to journalArticlepeer-review

  40. 2014
  41. Inorganic carbon fluxes across the vadose zone of planted and unplanted soil mesocosms

    Thaysen, E. M., Jacques, D., Jessen, S., Andersen, C. E., Laloy, E., Ambus, P., Postma, D. & Jakobsen, I., Dec 2014, In: Biogeosciences. 11, 24, p. 7179-7192

    Research output: Contribution to journalArticlepeer-review

  42. Effects of Lime and Concrete Waste on Vadose Zone Carbon Cycling

    Thaysen, E. M., Jessen, S., Postma, D., Jakobsen, R., Jacques, D., Ambus, P., Laloy, E. & Jakobsen, I., Nov 2014, In: Vadose Zone Journal. 13, 11, p. 1-11

    Research output: Contribution to journalArticlepeer-review

  43. High-resolution moisture profiles from full-waveform probabilistic inversion of TDR signals

    Laloy, E., Huisman, J. A. & Jacques, D., Nov 2014, In: Journal of Hydrology. 519, Part B, p. 2121-2135

    Research output: Contribution to journalArticlepeer-review

  44. Reply to comment by Chu et al. on ‘‘High-dimensional posterior exploration of hydrologic models using multiple-try DREAM (ZS) and high-performance computing’’

    Vrugt, J. A. & Laloy, E., Mar 2014, In: Water Resources Research. 50, 3, p. 2781-2786

    Research output: Contribution to journalArticlepeer-review

  45. 2013
  46. CO2 fluxes to aquifers beneath cropland:merging measurements and modeling

    Thaysen, E. M., Jacques, D. & Laloy, E., Jul 2013, Proceedings of the 4th International Conference HYDRUS Software Applications to Subsurface Flow and Contaminant Transport Problems. Prague, Czech Republic, p. 355-363

    Research output: Contribution to report/book/conference proceedingsIn-proceedings paperpeer-review

  47. Efficient posterior exploration of a high-dimensional groundwater model from two-stage Markov chain Monte Carlo simulation and polynomial chaos expansion

    Laloy, E., Rogiers, B., Vrugt, J. A., Mallants, D. & Jacques, D., May 2013, In: Water Resources Research. 49, 5, p. 2664-2682

    Research output: Contribution to journalArticlepeer-review

  48. 2012
  49. Parameterizing a dynamic architectural model of the root system of spring barley from minirhizotron data

    Garré, S., Pagès, L., Laloy, E., Javaux, M., Vanderborght, J. & Vereecken, H., Nov 2012, In: Vadose Zone Journal. 11, 4, p. 1-17

    Research output: Contribution to journalArticlepeer-review

  50. Mass conservative three-dimensional water tracer distribution from Markov chain Monte Carlo inversion of time-lapse ground-penetrating radar data

    Laloy, E., Linde, N. & Vrugt, J. A., Jul 2012, In: Water Resources Research. 48, p. W07510-W07510

    Research output: Contribution to journalArticlepeer-review

ID: 40719