ICML 2025 Past Other

TerraBytes - ICML 2025 workshop

TerraBytes 2025

Submission deadline
May 24, 2025, 23:59 UTC
imported from OpenReview — check the website for extensions
Submission portal
OpenReview
Notes
Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).

Accepted papers (23)

Fetched from OpenReview (v2) on 2026-06-10.

  1. AirCast: Improving Air Pollution Forecasting Through Multi-Variable Data Alignment

    Vishal Nedungadi, Muhammad Akhtar Munir, Marc Rußwurm, Ron Sarafian, Ioannis N. Athanasiadis, Yinon Rudich, Fahad Shahbaz Khan, Salman Khan · PDF
  2. Deploying Geospatial Foundation Models in the Real World: Lessons from WorldCereal

    Christina Butsko, Gabriel Tseng, Kristof Van Tricht, Giorgia Milli, David Rolnick, Ruben Cartuyvels, Inbal Becker Reshef, Zoltan Szantoi, Hannah Kerner · PDF
  3. End-to-End Reconstruction of High-Resolution Temperature Data Using Physics-Guided Deep Learning

    Shengjie Liu, Lu Zhang, Siqin Wang · PDF
  4. Enhancing Generative Seismic Modeling via Paired Dataset Construction Method

    Jaehyuk Lee, Jaeheun Jung, Hanyoung Kim, Chang-Hae Jung, Donghun Lee · PDF
  5. Galileo: Learning Global & Local Features of Many Remote Sensing Modalities

    Gabriel Tseng, Anthony Fuller, Marlena Reil, Henry Herzog, Patrick Beukema, Favyen Bastani, James R Green, Evan Shelhamer, Hannah Kerner, David Rolnick · PDF
  6. GeoCrossBench: Cross-Band Generalization for Remote Sensing

    Hakob Tamazyan, Ani Vanyan, Alvard Barseghyan, Anna Khosrovyan, Evan Shelhamer, Hrant Khachatrian · PDF
  7. High-Performance Lightweight Vision Models for Land Cover Classification with Coresets and Compression

    Tushar Shinde · PDF
  8. High-Resolution LFMC Maps for Wildfire Risk From Multimodal Earth Observation Data

    Patrick Alan Johnson, Gabriel Tseng, Yawen Zhang, Heather Heward, Virginia Sjahli, Favyen Bastani, Joseph Redmon, Patrick Beukema · PDF
  9. Label-Efficient Hyperspectral Image Classification via Spectral FiLM Modulation of Low-Level Pretrained Diffusion Features

    Yuzhen Hu, Biplab Banerjee, Saurabh Prasad · PDF
  10. Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models

    Isaac Corley, Lakshay Sharma, Ruth Crasto · PDF
  11. Less is More? Data Specialization for Self-Supervised Remote Sensing Models

    Alvard Barseghyan, Ani Vanyan, Hakob Tamazyan, Evan Shelhamer, Hrant Khachatrian · PDF
  12. Open-source federated learning across multi cloud environment

    Leonardo P. Tizzei, Gabrielle Nyirjesy, Levente J Klein, Theodore van Kessel, Maciel Zortea, Marcus Freitag, ILDAR KHABIBRAKHMANOV, Hendrik Hamann, Kamal Das · PDF
  13. Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data

    Akram Zaytar, Caleb Robinson, Girmaw Abebe Tadesse, Tammy Glazer, Gilles HACHEME, Anthony Ortiz, Rahul M Dodhia, Juan M Lavista Ferres · PDF
  14. Resampling Augmentation for Time Series Contrastive Learning: Application to Remote Sensing

    Antoine Saget, Baptiste Lafabregue, Antoine Cornuéjols, Pierre Gançarski · PDF
  15. Shaping Fine-Tuning of Geospatial Foundation Models: Effects of Label Availability and Temporal Resolution

    Giovanni Castiglioni, Nicolás Gonzalo Isla Fernández, Cristian Buc Calderon, Javiera Castillo Navarro, Sébastien Lefèvre, Valentin Barriere · PDF
  16. Smoothing Continual Segmentation Oscillations with Latent Domain PPCA Decoder

    Marie-Ange Boum, Pierre Fournier, Dawa Derksen, Stéphane Herbin · PDF
  17. The Cloud-Based Geospatial Benchmark: Challenges and LLM Evaluation

    Jeffrey A. Cardille, Renee Johnston, Simon Ilyushchenko, Johan Kartiwa, Zahra Shamsi, Matthew Abraham, Khashayar Azad, Kainath Ahmed, Emma Bergeron Quick, Nuala Caughie, Noah Jencz, Karen Dyson, Andrea Puzzi Nicolau, Maria Fernanda Lopez-Ornelas, David Saah, Michael Brenner, Subhashini Venugopalan, Sameera S Ponda · PDF
  18. The Missing Piece: Standardising for AI-ready Earth Observation Datasets

    Cesar Aybar, Julio Contreras, Chen Ma, Oscar J. Pellicer-Valero, Gonzalo Mateo-García, Luis Gómez-Chova, Gustau Camps-Valls, Nils Lehmann, Mikolaj Czerkawski, David Montero, Miguel D. Mahecha, Ingrid Aybar · PDF
  19. Towards LLM Agents for Earth Observation

    Chia Hsiang Kao, Wenting Zhao, Shreelekha Revankar, Samuel Speas, Snehal Bhagat, Rajeev Datta, Cheng Perng Phoo, Utkarsh Mall, Carl Vondrick, Kavita Bala, Bharath Hariharan · PDF
  20. Towards Scalable Foundation Model for Multi-modal and Multi-spectral Geospatial Data

    Haozhe Si, Yuxuan Wan, Minh N. Do, Deepak Vasisht, Han Zhao, Hendrik Hamann · PDF
  21. Transfer Learning for Onboard Cloud Segmentation in Thermal Earth Observation: From Landsat to a CubeSat Constellation

    Niklas Wölki, Lukas Kondmann, Christian Mollière, Martin Langer, Julia Gottfriedsen, Martin Werner · PDF
  22. Using Multiple Input Modalities can Improve Data-Efficiency and O.O.D. Generalization for ML with Satellite Imagery

    Arjun Rao, Esther Rolf · PDF
  23. Where are the Whales: A Human-in-the-loop Detection Method for Identifying Whales in High-resolution Satellite Imagery

    Caleb Robinson, Kimberly T. Goetz, Christin B. Khan, Meredith Sackett, Kathleen Leonard, Rahul M Dodhia, Juan M Lavista Ferres · PDF