{"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":"2026-04-24T09:51:36","modified_gmt":"2026-04-24T07:51:36","slug":"tentative-schedule","status":"publish","type":"page","link":"https:\/\/wp.unil.ch\/ci26\/tentative-schedule\/","title":{"rendered":"Tentative Schedule"},"content":{"rendered":"\n<p><strong>Extended abstracts:<\/strong> <em>Except for the lightning talks listed below, all accepted \u00ab\u00a0extended abstracts\u00a0\u00bb have been selected for <a href=\"https:\/\/wp.unil.ch\/ci26\/posters\/\">on-site poster presentations<\/a> in the Atrium room of the Palais de Rumine (Tuesday-Thursday).<\/em><\/p>\n\n\n<p><a style=\"padding: 8px 14px;margin: 0 8px 8px 0;border: 1px solid #ccc;border-radius: 999px;background: #f5f5f5;text-decoration: none;font-weight: 600\" href=\"#monday\">Monday<\/a><a style=\"padding: 8px 14px;margin: 0 8px 8px 0;border: 1px solid #ccc;border-radius: 999px;background: #f5f5f5;text-decoration: none;font-weight: 600\" href=\"#tuesday\">Tuesday<\/a><a style=\"padding: 8px 14px;margin: 0 8px 8px 0;border: 1px solid #ccc;border-radius: 999px;background: #f5f5f5;text-decoration: none;font-weight: 600\" href=\"#wednesday\">Wednesday<\/a><a style=\"padding: 8px 14px;margin: 0 8px 8px 0;border: 1px solid #ccc;border-radius: 999px;background: #f5f5f5;text-decoration: none;font-weight: 600\" href=\"#thursday\">Thursday<\/a><\/p>\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n<h4 id=\"monday\" class=\"wp-block-heading\"><strong>Monday, April 27: Hackathon, First Keynote<\/strong><\/h4>\n\n\n<p><em>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.&nbsp;<\/em><\/p>\n\n\n\n<p><em>Reserved rooms for the hackathon: Amphip\u00f4le 342 (44 people) &amp; 340.1 (56 people) &amp; 338 (30 people), Amphimax 414 (89 people).<\/em><\/p>\n\n\n\n<p><strong>8AM-12PM<\/strong> <strong>(Amphip\u00f4le, main hall)<\/strong>: On-site conference registration, hackathon kick-off, presentations, and coding sessions<br><strong>8:30AM-9:15AM (Amphimax 414)<\/strong>: Welcome remarks and hackathon kick-off<br><strong>9:15AM-12:00PM (Amphimax 414 &amp; Amphip\u00f4le 338\/340.1\/342)<\/strong>: Hackathon working session (I). Coffee and snack available in the corridor from 10AM-10:30AM.<\/p>\n\n\n\n<p><br><strong>12:15PM-1:15PM<\/strong> <strong>(Amphimax 350)<\/strong>: <strong>Keynote: Marlene Kretschmer (Uni. Leipzig)<\/strong> Understanding Regional Climate Variability through Causal Data Science and Machine Learning<\/p>\n\n\n\n<p><strong>1:15PM-2PM (Terra restaurant in Amphimax)<\/strong>: Lunch break. Lunch vouchers are available for registered participants. <\/p>\n\n\n\n<p><strong>2PM-5<\/strong>:<strong>30PM <strong>(Amphimax 414 &amp; Amphip\u00f4le 338\/340.1\/342)<\/strong>:<\/strong> Hackathon working session (II). Coffee and snack available in the corridor from 4PM-4:30PM.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n<h4 id=\"tuesday\" class=\"wp-block-heading\"><strong>Tuesday, April 28: Plenary sessions &amp; Conference poster session\/dinner<\/strong><\/h4>\n\n\n<p><em>From Tuesday to Thursday, the conference will take place in the Palais de Rumine.<\/em> <em>Address: Place de la Riponne 6, 1005 Lausanne.<\/em><\/p>\n\n\n\n<p><em>Aula (main room) reserved 8.30AM-6.30PM; Senate (workroom) reserved 8.30AM-3PM; Atrium (poster hall) reserved 8.30AM-8.30PM.&nbsp;<\/em><\/p>\n\n\n\n<p><em>Morning chairs: Erwan Koch, Tom Beucler<\/em><\/p>\n\n\n\n<p><strong>8:30AM-9AM (Aula):<\/strong> On-site conference registration<\/p>\n\n\n\n<p><strong>9AM-9:10AM (Aula):<\/strong> Welcome words from the organizing committee<\/p>\n\n\n\n<p><strong>9:10AM-9:15AM (Aula):<\/strong> Transition time<\/p>\n\n\n\n<p><strong>9:15AM-9:55AM (Aula): Keynote: Melissa Chapman (ETHZ)<\/strong> Towards a just planetary future in the age of artificial intelligence<\/p>\n\n\n\n<p><br><strong>9:55AM-10:10AM (Aula)<\/strong>: Machine learning for weather applications I<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>9:55AM-10:10AM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Paper\/Paper99_SynopticBench-%20Evaluating%20Vision-Language%20Models%20on%20Generating%20Weather%20Forecast%20Discussions%20of%20the%20Future.pdf\">SynopticBench: Evaluating Vision-Language Models on Generating Weather Forecast Discussions of the Future (T. Higgins \u2013 UVA)<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>10:10AM-10:45AM (Aula):<\/strong> Coffee break<\/p>\n\n\n\n<p><strong>10:45AM-11:30AM (Aula)<\/strong>: Machine learning for climate applications I<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>10:45AM-11:00AM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Paper\/Paper53_Generative%20Unsupervised%20Downscaling%20of%20Climate%20Models%20via%20Domain%20Alignment-%20Application%20to%20Wind%20Fields.pdf\">Generative Unsupervised Downscaling of Climate Models via Domain Alignment: Application to Wind Fields (J. Keisler \u2013 INRIA)<\/a><\/li>\n\n\n\n<li>11:00AM-11:15AM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Paper\/Paper19_IPSL-AID-%20Generative%20Diffusion%20Models%20for%20Climate%20Downscaling%20from%20Global%20to%20Regional%20Scales.pdf\">IPSL-AID: Generative Diffusion Models for Climate Downscaling from Regional to Global Scales (K. Kingston \u2013 CNRS)<\/a><\/li>\n\n\n\n<li>11:15AM-11:30AM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Paper\/Paper60_Joint%20Bias%20Correction%20and%20Downscaling%20of%20Subseasonal%20Forecasts%20via%20Diffusion%20Models.pdf\">Joint Bias Correction and Downscaling of Subseasonal Forecasts via Diffusion Models (M. Pyrina \u2013 ETHZ)<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>11:30AM-12:00PM (Aula)<\/strong>: Lightning talks I<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>11:30PM-11:40PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Extended_Abstract\/ID17_AI-boosted%20rare%20event%20sampling%20to%20characterize%20extreme%20weather.pdf\" data-type=\"link\" data-id=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Extended_Abstract\/ID17_AI-boosted%20rare%20event%20sampling%20to%20characterize%20extreme%20weather.pdf\">AI-boosted rare event sampling to characterize extreme weather (A. Lancelin \u2013 LMD)<\/a><\/li>\n\n\n\n<li>11:40PM-11:50PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Extended_Abstract\/ID81_Exploring%20Adversarial%20Attacks%20in%20AI%20Weather%20Models%20for%20Generation%20of%20High-resolution%20Tropical%20Cyclones.pdf\">Exploring Adversarial Attacks in AI Weather Models for Generation of High-resolution Tropical Cyclones (M. Froelich \u2013 UNIGE)<\/a><\/li>\n\n\n\n<li>11:50PM-12:00PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Extended_Abstract\/ID67_Towards%20Sensor-Agnostic%20Precipitation%20Prediction%20using%20Passive%20Microwave%20Satellites.pdf\">Towards Sensor-Agnostic Precipitation Prediction using Passive Microwave Satellites (V. Enescu \u2013 LATMOS)<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>12PM-1:30PM<\/strong>: Lunch break<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<p><em>Afternoon chairs: Marlene Kretschmer, Guillaume Obozinski<\/em><\/p>\n\n\n\n<p><strong>1:30PM-3:00PM (Aula)<\/strong>: Machine learning for weather applications II<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>1:30PM-1:45PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Paper\/Paper91_A%20Scale-Adaptive%20Framework%20for%20Joint%20Spatiotemporal%20Super-Resolution%20with%20Diffusion%20Models.pdf\"><\/a><a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Paper\/Paper96_Emulating%20Non-Differentiable%20Metrics%20via%20Knowledge-Guided%20Learning-%20Introducing%20the%20Minkowski%20Image%20Loss.pdf\">Emulating Non-Differentiable Metrics via Knowledge-Guided Learning: Introducing the Minkowski Image Loss (F. Quarenghi \u2013 UNIL)<\/a> <\/li>\n\n\n\n<li>1:45PM-2:00PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Paper\/Paper100_STint-%20Self-supervised%20Temporal%20Interpolation%20for%20Geospatial%20Data.pdf\">STint: Self-supervised Temporal Interpolation for Geospatial Data (N. Harilal \u2013 CU Boulder)<\/a><\/li>\n\n\n\n<li>2:00PM-2:15PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Paper\/Paper13_Evaluating%20Bias-Adjusted%20Climate%20Data%20for%20Extreme%20Heat%20Metrics%20in%20Agricultural%20Applications.pdf\">Evaluating Bias-Adjusted Climate Data for Extreme Heat Metrics in Agricultural Applications (M. T. Tahmid \u2013 U Delaware)<\/a><\/li>\n\n\n\n<li>2:15PM-2:30PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Paper\/Paper41_Downscaling%20land%20surface%20temperature%20data%20using%20edge%20detection%20and%20block-diagonal%20Gaussian%20process%20regression.pdf\">Downscaling land surface temperature data using edge detection and block-diagonal Gaussian process regression (S. Dandapanthula \u2013 Carnegie Mellon)<\/a><\/li>\n\n\n\n<li>2:30PM-2.45PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Paper\/Paper45_Evaluating%20machine%20learning-based%20limited-area%20weather%20forecasting%20models%20for%20wind%20energy%20applications.pdf\">Evaluating machine learning-based limited-area weather forecasting models for wind energy applications (A. van Poecke \u2013 U. Antwerp)<\/a><\/li>\n\n\n\n<li>2:45PM-3:00PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Paper\/Paper74_Spatiotemporal%20Coherent%20Displacements%20for%20Ensemble-Based%20Neural%20Data%20Assimilation.pdf\">Spatiotemporal Coherent Displacements for Ensemble-Based Neural Data Assimilation (S. Roy \u2013 IMT Atlantique)<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>3:00PM-3:45PM (Aula)<\/strong>: Coffee break<\/p>\n\n\n\n<p><strong>3:45PM-4:00PM (Aula):<\/strong> Machine learning for Oceanography I<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>3:45PM-4:00PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Paper\/Paper73_An%20Analysis%20of%20Variational%20Autoencoder%20as%20a%20Surrogate%20Model%20for%20Global%20Sea%20Surface%20Temperature.pdf\">An Analysis of Variational Autoencoder as a Surrogate Model for Global Sea Surface Temperature (D. Chakraborty \u2013 IIT Kharagpur)<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>4:00PM-4:55PM (Aula)<\/strong>: Lightning talks II<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>4:00PM-4:10PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Extended_Abstract\/ID10_Neural-ROM-%20A%20Graph%20Neural%20Network%20for%20Probabilistic%20Regional%20Ocean%20Forecasting.pdf\">Neural-ROM: A Graph Neural Network for Probabilistic Regional Ocean Forecasting (J. Oskarsson \u2013 ETHZ)<\/a><\/li>\n\n\n\n<li>4:10PM-4:20PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Extended_Abstract\/ID69_Realistic%20decade-long%20sea-ice%20simulations%20from%20generative%20models%20trained%20for%20sub-daily%20forecasting.pdf\">Realistic decade-long sea-ice simulations from generative models trained for sub-daily forecasting (T. Finn \u2013 Ecole des Ponts Paris Tech)<\/a><\/li>\n\n\n\n<li>4:20PM-4:30PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Extended_Abstract\/ID66_Interpreting%20SAE%20Features%20for%20Wildfire%20Forecasting.pdf\">Interpreting SAE Features for Wildfire Forecasting (H. Porta \u2013 EPFL)<\/a><\/li>\n\n\n\n<li>4:30PM-4:35PM (Aula): Transition<\/li>\n\n\n\n<li>4:35PM-4:45PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Extended_Abstract\/ID27_Online%20Coupling%20of%20ML%20Cloud%20Microphysics%20in%20a%20Climate%20Experiment.pdf\">Online Coupling of ML Cloud Microphysics in a Climate Experiment (C. Arnold \u2013 Helmholtz Center Hereon)<\/a><\/li>\n\n\n\n<li>4:45PM-4:55PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Extended_Abstract\/ID83_Can%20AI%20climate%20emulators%20capture%20statistics%20of%20rare%20weather%20extremes%3F.pdf\">Can AI climate emulators capture statistics of rare weather extremes? (A. Wikner \u2013 U Chicago)<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>4:55PM-6:00PM (Aula):<\/strong> Hackathon working session (III)<\/p>\n\n\n\n<p><strong>6PM-8.30PM (Atrium):<\/strong> Poster session &amp; dinner<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n<h4 id=\"wednesday\" class=\"wp-block-heading\"><strong>Wednesday, April 29: Plenary sessions<\/strong><\/h4>\n\n\n<p><em>Aula (main room) reserved 8.30AM-3.30PM; Senate (workroom) reserved 8.30AM-3PM; Atrium (poster hall) reserved 8.30AM-6PM.<\/em> <em>Address: Place de la Riponne 6, 1005 Lausanne.<\/em><\/p>\n\n\n\n<p><em>Morning chairs: Sebastian Engelke, Erwan Koch, Tom Beucler<\/em><\/p>\n\n\n\n<p><strong>8:30AM-9AM:<\/strong> On-site conference registration<\/p>\n\n\n\n<p><strong>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<p><strong>9:40AM-9:45AM (Aula): <\/strong>Transition<\/p>\n\n\n\n<p><strong>9:45AM-10:15AM (Aula): <\/strong>Machine learning for weather applications III<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>9:45AM-10AM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Paper\/Paper91_A%20Scale-Adaptive%20Framework%20for%20Joint%20Spatiotemporal%20Super-Resolution%20with%20Diffusion%20Models.pdf\">A Scale-Adaptive Framework for Joint Spatiotemporal Super-Resolution with Diffusion Models (M. Defez \u2013 UNIL)<\/a><\/li>\n\n\n\n<li>10:00AM-10:15AM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Paper\/Paper49_Super-Resolving%20Coarse-Resolution%20Weather%20Forecasts%20with%20Flow%20Matching.pdf\">Super-Resolving Coarse-Resolution Weather Forecasts with Flow Matching (A. Delefosse \u2013 INRIA)<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>10:15AM-11:00AM (Aula):<\/strong> Group photo &amp; Coffee break<\/p>\n\n\n\n<p><strong>11:00AM-11:55AM (Aula):<\/strong> Lightning talks III<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>11:00AM-11:10AM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Extended_Abstract\/ID50_A%20Simple%20CRPS-based%20Ensemble%20Extension%20of%20Deterministic%20Precipitation%20Downscaling%20Models.pdf\">A Simple CRPS-based Ensemble Extension of Deterministic Precipitation Downscaling Models (C. Garcia-Fernandez \u2013 IFCA-UNICAN)<\/a><\/li>\n\n\n\n<li>&nbsp;11:10AM-11:20AM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Extended_Abstract\/ID35_Increasing%20atmospheric%20vertical%20resolution%20in%20data-driven%20weather%20forecasting%20models.pdf\">Increasing atmospheric vertical resolution in data-driven weather forecasting models (M. Clare \u2013 ECMWF)<\/a><\/li>\n\n\n\n<li>11:20AM-11:30AM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Extended_Abstract\/ID47_How%20Well%20Do%20Machine-Learning%20Weather%20Models%20Predict%20Atmospheric%20Rivers_.pdf\">How Well Do Machine-Learning Weather Models Predict Atmospheric Rivers? (M. Janmaijaya \u2013 Alan Turing Institute)<\/a><\/li>\n\n\n\n<li>11:30AM-11:35AM (Aula) &#8211; Transition<\/li>\n\n\n\n<li>11:35AM-11:45AM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Extended_Abstract\/ID63_Multi-source%20cross-sensor%20harmonization%20via%20generative%20self-supervised%20learning.pdf\">Multi-source cross-sensor harmonization via generative self-supervised learning (C. Dauvilliers \u2013 INRIA)<\/a><\/li>\n\n\n\n<li>11:45AM-11:55AM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Extended_Abstract\/ID38_Towards%20a%20mass-conservative%20global%20sea%20ice%20emulator%20that%20generalizes%20across%20climates.pdf\">Towards a mass-conservative global sea ice emulator that generalizes across climates (W. Gregory \u2013 Princeton)<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>12PM-1:30PM<\/strong>: Lunch break<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<p><em>Afternoon chairs: Marj Tonini, Maike Sonnewald<\/em><\/p>\n\n\n\n<p><strong>1:30PM-2:55PM (Aula)<\/strong>: Machine learning for Environmental Sciences applications I<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>1:30PM-2:10PM (Aula): <strong>Keynote: Redouane Lguensat (IPSL) <\/strong>The Agentic Turn in Climate Informatics: Redefining the Role of Climate Data Scientists&nbsp;&nbsp;&nbsp;&nbsp;<\/li>\n\n\n\n<li>2:10PM-2:25PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Paper\/Paper56_Cross-Domain%20Offshore%20Wind%20Power%20Forecasting_Transfer%20Learning%20Through%20Meteorological%20Clusters.pdf\">Cross-Domain Offshore Wind Power Forecasting: Transfer Learning Through Meteorological Clusters (D. Weisser \u2013 UCL)<\/a><\/li>\n\n\n\n<li>2:25PM-2:40PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Paper\/Paper55_A%20Heterogeneous%20Data%20Fusion%20DNN%20Framework%20for%20SAR-%20Based%20Flood%20Classification-%20A%20Case%20Study%20of%20the%20Muvattupuzha%20River.pdf\">A Heterogeneous Data Fusion DNN Framework for SAR- Based Flood Classification: A Case Study of the Muvattupuzha River (Jayasree T. V. \u2013 CU Kerala)<\/a><\/li>\n\n\n\n<li>2:40PM-2:55PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Paper\/Paper84_Convolutional%20neural%20network%20for%20the%20prediction%20of%20Sargassum%20seaweed%20beachings%20in%20Guadeloupe.pdf\">Convolutional neural network for the prediction of Sargassum seaweed beachings in Guadeloupe (R. Bagghi \u2013 Universite des Antilles)<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>2:55PM-3:00PM (Aula): <\/strong>Transition<\/p>\n\n\n\n<p><strong>3:00PM-3:10PM (Aula): <\/strong>Lightning talks IV<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>3:00PM-3:10PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Extended_Abstract\/ID68_Biogeochemical%20Forecastability%20Decomposition%20via%20Progressive%20Information%20Scaling.pdf\">Biogeochemical Forecastability Decomposition via Progressive Information Scaling (G. Martinez-Balbontin \u2013 Mercator Ocean International)<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>3:10PM-3:20PM (Aula): Hackathon working session (IV)<\/strong><\/p>\n\n\n\n<p><strong>9AM-6PM (Atrium):<\/strong> Optional posters during break<\/p>\n\n\n\n<p><strong>7PM-10PM:<\/strong> Conference dinner in Lausanne (Chalet Suisse, Lausanne)<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n<h4 id=\"thursday\" class=\"wp-block-heading\"><strong>Thursday, April 30: Plenary sessions, hackathon results, and wrap-up<\/strong><\/h4>\n\n\n<p><em>Aula (main room) reserved 8.30AM-6.30PM; Senate (workroom) reserved 8.30AM-3PM; Atrium (poster hall) reserved 8.30AM-6PM.<\/em> <em>Address: Place de la Riponne 6, 1005 Lausanne.<\/em><\/p>\n\n\n\n<p><em>Morning chairs: Maike Sonnewald, Sebastian Engelke<\/em><\/p>\n\n\n\n<p><strong>8:30AM-9AM:<\/strong> On-site conference registration<\/p>\n\n\n\n<p><strong>9AM-10AM (Aula): <\/strong>Hackathon summary &amp; results<\/p>\n\n\n\n<p><strong>10AM-10:30AM (Aula):<\/strong> Coffee break<\/p>\n\n\n\n<p><strong>10:30-11:10AM (Aula):<\/strong> <strong>Keynote: Nicolai Meinshausen (ETH) <\/strong>GCMagicc: Reverse Markov Learning for GCM emulation<\/p>\n\n\n\n<p><strong>11:10AM-11:15AM (Aula): <\/strong>Transition<\/p>\n\n\n\n<p><strong>11:15AM-11:45AM (Aula):<\/strong> Machine learning for oceanography II<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>11:15AM-11:30AM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Paper\/Paper58_Deep%20Learning%20Ice%20Shelf%20Basal%20Melt%20Rates%20via%20Differentiable%20Physics.pdf\">Deep Learning Ice Shelf Basal Melt Rates via Differentiable Physics (K. Bente \u2013 U Sydney)<\/a><\/li>\n\n\n\n<li>11:30AM-11:45AM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Paper\/Paper46_Bridging%20gaps%20in%20daily%20global%20ocean-colour%20products%20using%20physical%20fields%20and%20neural%20networks.pdf\">Bridging gaps in daily global ocean-colour products using physical fields and neural networks (L. Ollier \u2013 LOCEAN)<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>11:45AM-11:55AM (Aula): <\/strong>Lightning talk V<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>11:45AM-11:55AM (Aula) <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Extended_Abstract\/ID79_Flow%20matching%20based%20multivariate%20stochastic%20weather%20generator%20trained%20on%20CESM2%20and%20finetuned%20on%20ERA5.pdf\">Flow matching based multivariate stochastic weather generator trained on CESM2 and finetuned on ERA5 (V. Launeau \u2013 LSCE)<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>12PM-1:30PM<\/strong>: Lunch break<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<p><em>Afternoon chairs: Tom Beucler, Sebastian Engelke<\/em><\/p>\n\n\n\n<p><strong>1:30PM-3:10PM (Aula)<\/strong>: Causality and Climate Applications II<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>&nbsp;1:30PM-2:10PM (Aula): <strong>Keynote: Antonios Mamalakis (UVA) <\/strong>When Does AI Know the Climate System? Diagnosing Knowledge and Ignorance with Explainable AI<\/li>\n\n\n\n<li>2:10PM-2:25PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Paper\/Paper85_Data-Driven%20Integration%20Kernels%20for%20Interpretable%20Nonlocal%20Operator%20Learning.pdf\">Data-Driven Integration Kernels for Interpretable Nonlocal Operator Learning (S. Ferretti \u2013 UC Irvine)<\/a><\/li>\n\n\n\n<li>&nbsp;2:25PM-2:40PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Paper\/Paper15_Dissipating%20the%20correlation%20smokescreen-%20Causal%20decomposition%20of%20the%20radiative%20effects%20of%20biomass%20burning%20aerosols%20over%20the%20South-East%20Atlantic.pdf\">Dissipating the correlation smokescreen: Causal decomposition of the radiative effects of biomass burning aerosols over the South-East Atlantic (E. Fons \u2013 CNRS)<\/a><\/li>\n\n\n\n<li>2:40PM-2:55PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Paper\/Paper33_Future%20wildfire%20risk%20in%20Southern%20Europe%20under%20changing%20land%20use%2C%20population%20and%20climate-%20A%20data-driven%20approach.pdf\">Future wildfire risk in Southern Europe under changing land use, population and climate: A data-driven approach (J. Solo-Martin \u2013 DTU)<\/a><\/li>\n\n\n\n<li>2:55PM-3:10PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Paper\/Paper109_%20A%20Generative%20Likelihood%20Framework%20for%20High-Resolution%20Climate%20Model%20Evaluation%20.pdf\">A Generative Likelihood Framework for High-Resolution Climate Model Evaluation (L. Freischem \u2013 U Oxford)<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>3:10PM-3:40PM (Aula)<\/strong>: Coffee break<\/p>\n\n\n\n<p><strong>3:40PM-4:20PM (Aula)<\/strong>: Lightning talks VI<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>3:40PM-3:50PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Extended_Abstract\/ID64_Evaluating%20Justice%20Risks%20in%20Deployed%20AI%20Systems%20for%20Climate%20Applications.pdf\">Evaluating Justice Risks in Deployed AI Systems for Climate Applications (P. Anand &#8211; For Humanity)<\/a><\/li>\n\n\n\n<li>3:50PM-4:00PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Extended_Abstract\/ID93_Towards%20a%20distributional%20autoencoder%20for%20climate%20counterfactuals.pdf\">Towards a distributional autoencoder for climate counterfactuals (F. Loer \u2013 U. Leipzig)<\/a><\/li>\n\n\n\n<li>4:00PM-4:10PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Extended_Abstract\/ID71_The%20climate%20generation%20game-%20Towards%20probabilistic%20calibration%20of%20climate%20models%20with%20simulation-based%20inference.pdf\">The climate generation game: Towards probabilistic calibration of climate models with simulation-based inference (B. Groenke \u2013 PIK Potsdam)<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>4:10PM-4:15PM (Aula)<\/strong>: Transition<\/p>\n\n\n\n<p><strong>4:15PM-4:45PM (Aula)<\/strong>: Causality and Climate Applications III<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>4:15PM-4:30PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Paper\/Paper104_Interpretable%20Machine%20Learning%20for%20CMIP6%20Multi-Model%20Ensembles.pdf\">Interpretable Machine Learning for CMIP6 Multi-Model Ensembles (S. Wu \u2013 U Toronto)<\/a><\/li>\n\n\n\n<li>4:30PM-4:45PM (Aula): <a href=\"https:\/\/github.com\/freddy0218\/ClimateInformatics2026\/blob\/main\/Paper\/Paper106_Calibrated%20Conformal%20Prediction%20Intervals%20for%20Microphysical%20Process%20Rates.pdf\">Calibrated Conformal Prediction Intervals for Microphysical Process Rates (M. Simm &#8211; KIT)<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>4:45PM-5:30PM (Aula)<\/strong>: Wrap-up discussion<\/p>\n\n\n\n<p><strong>9AM-6PM (Atrium):<\/strong> Optional posters during break<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>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&hellip;<\/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":717,"href":"https:\/\/wp.unil.ch\/ci26\/wp-json\/wp\/v2\/pages\/476\/revisions\/717"}],"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}]}}