{"id":476,"date":"2026-01-15T08:24:16","date_gmt":"2026-01-15T07:24:16","guid":{"rendered":"https:\/\/wp.unil.ch\/ci26\/?page_id=476"},"modified":"2026-04-01T15:16:42","modified_gmt":"2026-04-01T13:16:42","slug":"tentative-schedule","status":"publish","type":"page","link":"https:\/\/wp.unil.ch\/ci26\/tentative-schedule\/","title":{"rendered":"Tentative Schedule"},"content":{"rendered":"\n

Extended abstracts:<\/strong> Except for the lightning talks listed below, all accepted \u00ab\u00a0extended abstracts\u00a0\u00bb have been selected for on-site poster presentations in the Atrium room of the Palais de Rumine (Tuesday-Thursday).<\/em><\/p>\n\n\n\n

\n\n\n\n

Monday, April 27: Hackathon, First Keynote<\/strong><\/h4>\n\n\n\n

This entire day will take place in the Amphimax\/Amphip\u00f4le building complex of the UNIL Dorigny Campus. Address: Route de la Sorge 9, 1015 Lausanne. <\/em><\/p>\n\n\n\n

Reserved rooms for the hackathon: Amphip\u00f4le 342 (44 people) & 340.1 (56 people) & 338 (30 people), Amphimax 414 (89 people).<\/em><\/p>\n\n\n\n

8AM-12PM<\/strong>: On-site registration, hackathon kick-off, presentations, and coding sessions
8:30AM-9:00AM<\/strong>: Welcome remarks
9:00AM-10:30AM<\/strong>: Hackathon kick-off
10:30AM-11:00AM<\/strong>: Hackathon working session (I)<\/p>\n\n\n\n


12.15PM-1.15PM<\/strong> (Amphimax 350)<\/strong>: Keynote: Marlene Kretschmer (Uni. Leipzig)<\/strong> Understanding Regional Climate Variability through Causal Data Science and Machine Learning
<\/p>\n\n\n\n

1PM-5.30PM:<\/strong> Hackathon working session (II)<\/p>\n\n\n\n

\n\n\n\n

Tuesday, April 28: Plenary sessions & Conference poster session\/dinner<\/strong><\/h4>\n\n\n\n

From Tuesday to Thursday, the conference will take place in the Palais de Rumine.<\/em><\/p>\n\n\n\n

Address: Place de la Riponne 6, 1005 Lausanne.<\/em><\/p>\n\n\n\n

Aula (main room) reserved 8.30AM-6.30PM; Senate (workroom) reserved 8.30AM-3PM; Atrium (poster hall) reserved 8.30AM-8.30PM. <\/em><\/p>\n\n\n\n

9AM-9:40AM (Aula): Keynote: Melissa Chapman (ETHZ)<\/strong> Towards a just planetary future in the age of artificial intelligence<\/p>\n\n\n\n


9:40AM-9:45AM (Aula):<\/strong> Transition<\/p>\n\n\n\n


9:45AM-10AM (Aula)<\/strong>: Machine learning for weather applications I<\/p>\n\n\n\n

    \n
  • 9:45AM-10AM (Aula): SynopticBench: Evaluating Vision-Language Models on Generating Weather Forecast Discussions of the Future (T. Higgins \u2013 UVA)<\/li>\n<\/ul>\n\n\n\n

    10AM-10:45AM (Aula):<\/strong> Coffee break<\/p>\n\n\n\n

    10:45AM-11:30AM (Aula)<\/strong>: Machine learning for climate applications I<\/p>\n\n\n\n

      \n
    • 10:45AM-11:00AM (Aula): Generative Unsupervised Downscaling of Climate Models via Domain Alignment: Application to Wind Fields (J. Keisler \u2013 INRIA)<\/li>\n\n\n\n
    • 11:00AM-11:15AM (Aula): IPSL-AID: Generative Diffusion Models for Climate Downscaling from Regional to Global Scales (K. Kingston \u2013 CNRS)<\/li>\n\n\n\n
    • 11:15AM-11:30AM (Aula): Joint Bias Correction and Downscaling of Subseasonal Forecasts via Diffusion Models (M. Pyrina \u2013 ETHZ)<\/li>\n<\/ul>\n\n\n\n

      11:30AM-12:00PM (Aula)<\/strong>: Lightning talks I<\/p>\n\n\n\n

        \n
      • 11:30PM-11:40PM (Aula): AI-boosted rare event sampling to characterize extreme weather (A. Lancelin \u2013 LMD)<\/li>\n\n\n\n
      • 11:40PM-11:50PM (Aula): Exploring Adversarial Attacks in AI Weather Models for Generation of High-resolution Tropical Cyclones (M. Froelich \u2013 UNIGE)<\/li>\n\n\n\n
      • 11:50PM-12:00PM (Aula): Towards Sensor-Agnostic Precipitation Prediction using Passive Microwave Satellites (V. Enescu \u2013 LATMOS)<\/li>\n<\/ul>\n\n\n\n

        12PM-1:30PM<\/strong>: Lunch break<\/p>\n\n\n\n

        1:30PM-3:00PM (Aula)<\/strong>: Machine learning for weather applications II<\/p>\n\n\n\n

          \n
        • 1:30PM-1:45PM (Aula): A Scale-Adaptive Framework for Joint Spatiotemporal Super-Resolution with Diffusion Models (M. Defez \u2013 UNIL)<\/li>\n\n\n\n
        • 1:45PM-2:00PM (Aula): STint: Self-supervised Temporal Interpolation for Geospatial Data (N. Harilal \u2013 CU Boulder)<\/li>\n\n\n\n
        • 2:00PM-2:15PM (Aula): Evaluating Bias-Adjusted Climate Data for Extreme Heat Metrics in Agricultural Applications (M. T. Tahid \u2013 U Delaware)<\/li>\n\n\n\n
        • 2:15PM-2:30PM (Aula): Downscaling land surface temperature data using edge detection and block-diagonal Gaussian process regression (S. Dandapanthula \u2013 Carnegie Mellon)<\/li>\n\n\n\n
        • 2:30PM-2.45PM (Aula): Evaluating machine learning-based limited-area weather forecasting models for wind energy applications (A. van Poecke \u2013 U. Antwerp)<\/li>\n\n\n\n
        • 2:45PM-3:00PM (Aula): Spatiotemporal Coherent Displacements for Ensemble-Based Neural Data Assimilation (S. Roy \u2013 IMT Atlantique)<\/li>\n<\/ul>\n\n\n\n

          3:00PM-3:45PM (Aula)<\/strong>: Coffee break<\/p>\n\n\n\n

          3:45PM-4:00PM (Aula):<\/strong> Machine learning for Oceanography I<\/p>\n\n\n\n

            \n
          • 3:45PM-4:00PM (Aula): An Analysis of Variational Autoencoder as a Surrogate Model for Global Sea Surface Temperature (D. Chakraborty \u2013 IMT Kharagpur)<\/li>\n<\/ul>\n\n\n\n

            4:00PM-4:55PM (Aula)<\/strong>: Lightning talks II<\/p>\n\n\n\n

              \n
            • 4:00PM-4:10PM (Aula): Neural-ROM: A Graph Neural Network for Probabilistic Regional Ocean Forecasting (J. Oskarsson \u2013 ETHZ)<\/li>\n\n\n\n
            • 4:10PM-4:20PM (Aula): Realistic decade-long sea-ice simulations from generative models trained for sub-daily forecasting (T. Finn \u2013 Ecole des Ponts Paris Tech)<\/li>\n\n\n\n
            • 4:20PM-4:30PM (Aula): Interpreting SAE Features for Wildfire Forecasting (H. Porta \u2013 EPFL)<\/li>\n\n\n\n
            • 4:30PM-4:35PM (Aula): Transition<\/li>\n\n\n\n
            • 4:35PM-4:45PM (Aula): Online Coupling of ML Cloud Microphysics in a Climate Experiment (C. Arnold \u2013 Helmholtz Center Hereon)<\/li>\n\n\n\n
            • 4:45PM-4:55PM (Aula): Can AI climate emulators capture statistics of rare weather extremes? (A. Wikner \u2013 U Chicago)<\/li>\n<\/ul>\n\n\n\n

              4:55PM-6:00PM (Aula):<\/strong> Hackathon working session (III)<\/p>\n\n\n\n

              6PM-8.30PM (Atrium):<\/strong> Poster session & dinner<\/p>\n\n\n\n

              \n\n\n\n

              Wednesday, April 29: Plenary sessions<\/strong><\/h4>\n\n\n\n

              Aula (main room) reserved 8.30AM-3.30PM; Senate (workroom) reserved 8.30AM-3PM; Atrium (poster hall) reserved 8.30AM-6PM.<\/em><\/p>\n\n\n\n

              9AM-9:40AM (Aula): Keynote: Ciira Maina (DeKUT)<\/strong> Forests, birds and weather: Using AI to make sense of our changing world<\/p>\n\n\n\n

              9:40AM-9:45AM (Aula): <\/strong>Transition<\/p>\n\n\n\n

              9:45AM-10:15AM (Aula): <\/strong>Machine learning for weather applications III<\/p>\n\n\n\n

                \n
              • 9:45AM-10AM (Aula): Emulating Non-Differentiable Metrics via Knowledge-Guided Learning: Introducing the Minkowski Image Loss (F. Quarenghi \u2013 UNIL)<\/li>\n\n\n\n
              • 10:00AM-10:15AM (Aula): Super-Resolving Coarse-Resolution Weather Forecasts with Flow Matching (A. Delefosse \u2013 INRIA)<\/li>\n<\/ul>\n\n\n\n

                10:15AM-11:00AM (Aula):<\/strong> Coffee break<\/p>\n\n\n\n

                11:00AM-11:55AM (Aula):<\/strong> Lightning talks III<\/p>\n\n\n\n

                  \n
                • 11:00AM-11:10AM (Aula): A Simple CRPS-based Ensemble Extension of Deterministic Precipitation Downscaling Models (C. Garcia-Fernandez \u2013 IFCA-UNICAN)<\/li>\n\n\n\n
                •  11:10AM-11:20AM (Aula): Increasing atmospheric vertical resolution in data-driven weather forecasting models (M. Clare \u2013 ECMWF)<\/li>\n\n\n\n
                • 11:20AM-11:30AM (Aula): How Well Do Machine-Learning Weather Models Predict Atmospheric Rivers? (M. Janmaijaya \u2013 Alan Turing Institute)<\/li>\n\n\n\n
                • 11:30AM-11:35AM (Aula) – Transition<\/li>\n\n\n\n
                • 11:35AM-11:45AM (Aula): Multi-source cross-sensor harmonization via generative self-supervised learning (C. Dauvilliers \u2013 INRIA)<\/li>\n\n\n\n
                • 11:45AM-11:55AM (Aula): Abstract 38 Towards a mass-conservative global sea ice emulator that generalizes across climates (W. Gregory \u2013 Princeton)<\/li>\n<\/ul>\n\n\n\n

                  11:55AM-1:30PM<\/strong>: Lunch break<\/p>\n\n\n\n

                  1:30PM-2:55PM (Aula)<\/strong>: Machine learning for Environmental Sciences applications I<\/p>\n\n\n\n

                    \n
                  • 1:30PM-2:10PM (Aula): Keynote: Redouane Lguensat (IPSL) <\/strong>The Agentic Turn in Climate Informatics: Redefining the Role of Climate Data Scientists    <\/li>\n\n\n\n
                  • 2:10PM-2:25PM (Aula): Cross-Domain Offshore Wind Power Forecasting: Transfer Learning Through Meteorological Clusters (D. Weisser \u2013 UCL)<\/li>\n\n\n\n
                  • 2:25PM-2:40PM (Aula): A Heterogeneous Data Fusion DNN Framework for SAR- Based Flood Classification: A Case Study of the Muvattupuzha River (Jayasree T. V. \u2013 CU Kerala)<\/li>\n\n\n\n
                  • 2:40PM-2:55PM (Aula): Convolutional neural network for the prediction of Sargassum seaweed beachings in Guadeloupe (R. Bagghi \u2013 Universite des Antilles)<\/li>\n<\/ul>\n\n\n\n

                    2:55PM-3:00PM (Aula): <\/strong>Transition<\/p>\n\n\n\n

                    3:00PM-3:10PM (Aula): <\/strong>Lightning talks IV<\/p>\n\n\n\n

                      \n
                    • 3:00PM-3:10PM (Aula): Biogeochemical Forecastability Decomposition via Progressive Information Scaling (G. M. Balbontin \u2013 Mercator Ocean International)<\/li>\n<\/ul>\n\n\n\n

                      3:10PM-3:20PM (Aula): Hackathon working session (IV)<\/strong><\/p>\n\n\n\n

                      9AM-6PM (Atrium):<\/strong> Optional posters during break<\/p>\n\n\n\n

                      7PM-10PM:<\/strong> Conference dinner in Lausanne (Chalet Suisse, Lausanne)<\/p>\n\n\n\n

                      \n\n\n\n

                      Thursday, April 30: Plenary sessions, hackathon results, and wrap-up<\/strong><\/h4>\n\n\n\n

                      Aula (main room) reserved 8.30AM-6.30PM; Senate (workroom) reserved 8.30AM-3PM; Atrium (poster hall) reserved 8.30AM-6PM.<\/em><\/p>\n\n\n\n

                      9AM-10AM (Aula): <\/strong>Hackathon summary & results<\/p>\n\n\n\n

                      10AM-10:30AM (Aula):<\/strong> Coffee break<\/p>\n\n\n\n

                      10:30-11:10AM (Aula):<\/strong> Keynote: Nicolai Meinshausen (ETH) <\/strong>GCMagicc: Reverse Markov Learning for GCM emulation<\/p>\n\n\n\n

                      11:10AM-11:15AM (Aula): <\/strong>Transition<\/p>\n\n\n\n

                      11:15AM-11:45AM (Aula):<\/strong> Machine learning for oceanography II<\/p>\n\n\n\n

                        \n
                      • 11:15AM-11:30AM (Aula): Deep Learning Ice Shelf Basal Melt Rates via Differentiable Physics (K. Bente \u2013 U Sydney)<\/li>\n\n\n\n
                      • 11:30AM-11:45AM (Aula): Bridging gaps in daily global ocean-colour products using physical fields and neural networks (L. Ollier \u2013 LOCEAN)<\/li>\n<\/ul>\n\n\n\n

                        11:45AM-11:55AM (Aula): <\/strong>Lightning talk V<\/p>\n\n\n\n

                          \n
                        • 11:45AM-11:55AM (Aula) Flow matching based multivariate stochastic weather generator trained on CESM2 and finetuned on ERA5 (V. Launeau \u2013 LSCE)<\/li>\n<\/ul>\n\n\n\n

                          12PM-1:30PM<\/strong>: Lunch break<\/p>\n\n\n\n

                          1:30PM-3:10PM (Aula)<\/strong>: Causality and Climate Applications II<\/p>\n\n\n\n

                            \n
                          •  1:30PM-2:10PM (Aula): Keynote: Antonios Mamalakis (UVA) <\/strong>When Does AI Know the Climate System? Diagnosing Knowledge and Ignorance with Explainable AI<\/li>\n\n\n\n
                          • 2:10PM-2:25PM (Aula): Data-Driven Integration Kernels for Interpretable Nonlocal Operator Learning (S. Farretti \u2013 UC Irvine)<\/li>\n\n\n\n
                          •  2:25PM-2:40PM (Aula): Dissipating the correlation smokescreen: Causal decomposition of the radiative effects of biomass burning aerosols over the South-East Atlantic (E. Fons \u2013 CNRS)<\/li>\n\n\n\n
                          • 2:40PM-2:55PM (Aula): Future wildfire risk in Southern Europe under changing land use, population and climate: A data-driven approach (O. Meuriot \u2013 DTU)<\/li>\n\n\n\n
                          • 2:55PM-3:10PM (Aula): A Generative Likelihood Framework for High-Resolution Climate Model Evaluation (L. Freischem \u2013 U Oxford)<\/li>\n<\/ul>\n\n\n\n

                            3:10PM-3:50PM (Aula)<\/strong>: Coffee break<\/p>\n\n\n\n

                            3:50PM-4:20PM (Aula)<\/strong>: Lightning talks VI<\/p>\n\n\n\n

                              \n
                            • 3:50PM-4:00PM (Aula): Towards a distributional autoencoder for climate counterfactuals (F. Loer \u2013 U. Leipzig)<\/li>\n\n\n\n
                            • 4:00PM-4:10PM (Aula): Most at-risk regions for near-term surprise extremes (I. de Vries \u2013 ETHZ)<\/li>\n\n\n\n
                            • 4:10PM-4:20PM (Aula): The climate generation game: Towards probabilistic calibration of climate models with simulation-based inference (B. Groenke \u2013 PIK Potsdam)<\/li>\n<\/ul>\n\n\n\n

                              4:20PM-4:25PM (Aula)<\/strong>: Transition<\/p>\n\n\n\n

                              4:25PM-5:10PM (Aula)<\/strong>: Causality and Climate Applications III<\/p>\n\n\n\n

                                \n
                              • 4:25PM-4:40PM (Aula): Causally Aware Feature Selection for Explainable Prediction of Indian Summer Monsoon Rainfall from Global Climatic Indices (D. Chakraborty \u2013 IIT Kharagpur)<\/li>\n\n\n\n
                              • 4:40PM-4:55PM (Aula): Interpretable Machine Learning for CMIP6 Multi-Model Ensembles (S. Wu \u2013 U Toronto)<\/li>\n\n\n\n
                              • 4:55PM-5:10PM (Aula): Calibrated Conformal Prediction Intervals for Microphysical Process Rates (M. Simm – KIT)<\/li>\n<\/ul>\n\n\n\n

                                5:10PM-5:30PM (Aula)<\/strong>: Wrap-up discussion<\/p>\n\n\n\n

                                9AM-6PM (Atrium):<\/strong> Optional posters during break<\/p>\n","protected":false},"excerpt":{"rendered":"

                                Extended abstracts: Except for the lightning talks listed below, all accepted \u00ab\u00a0extended abstracts\u00a0\u00bb have been selected for on-site poster presentations in the Atrium room of the Palais de…<\/p>\n","protected":false},"author":1002483,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"template-full-width.php","meta":{"_seopress_robots_primary_cat":"","_seopress_titles_title":"","_seopress_titles_desc":"","_seopress_robots_index":"","footnotes":""},"class_list":["post-476","page","type-page","status-publish","has-post-thumbnail"],"_links":{"self":[{"href":"https:\/\/wp.unil.ch\/ci26\/wp-json\/wp\/v2\/pages\/476","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.unil.ch\/ci26\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.unil.ch\/ci26\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.unil.ch\/ci26\/wp-json\/wp\/v2\/users\/1002483"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.unil.ch\/ci26\/wp-json\/wp\/v2\/comments?post=476"}],"version-history":[{"count":5,"href":"https:\/\/wp.unil.ch\/ci26\/wp-json\/wp\/v2\/pages\/476\/revisions"}],"predecessor-version":[{"id":605,"href":"https:\/\/wp.unil.ch\/ci26\/wp-json\/wp\/v2\/pages\/476\/revisions\/605"}],"wp:attachment":[{"href":"https:\/\/wp.unil.ch\/ci26\/wp-json\/wp\/v2\/media?parent=476"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}