ICLR 2026PastAI for science
4th ICLR Workshop on Machine Learning for Remote Sensing (Main Track)
ML4RS @ ICLR 2026 (Main)
- Submission deadline
- Feb 7, 2026, 11:59 UTCOpenReview-synced 2026-02-07 11:59 UTC (as of 2026-06-23) — extensions on OpenReview are applied automatically; verify on the website.
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (42)
Fetched from OpenReview (v2) on 2026-06-10.
A Benchmark for Presence-Uncertain Few-Shot Segmentation in Real-World Remote Sensing Scenarios
ACCELERATED HIGH-RESOLUTION RADIATIVE TRANSFER SIMULATION FOR CO2 CONCENTRATION ESTIMATION FROM NANOCARB MEASUREMENTS
Assessing the Impact of Threshold on Cloud Masking Algorithms for Downstream Tasks
Beyond Spatial Resolution: Comparing Sentinel-2 and PlanetScope imagery for efficient remote mapping
Bridging the "Predictability Desert": A Probabilistic Bias Correction Framework for AI and Dynamical Subseasonal Forecasts
CERBERUS: A Three-Headed Decoder for Vertical Cloud Profiles
Changing Modalities by Cross-Band Transfer, Addition, and Peeking
Characterizing Brazilian Atlantic Forest Restoration Outcomes with Geospatial Alpha-Earth Embeddings
Correcting Geospatial Data Displacement with Foundation Vision Models
Deep Learning for Super-resolution of Sea Ice Concentration: Case Study of OSISAF Downscaler
DiffuSAM: Diffusion Guided Zero-Shot Object Grounding for Remote Sensing Imagery
EMBEDDING-ONLY UPLINK FOR ONBOARD RETRIEVAL UNDER SHIFT IN REMOTE SENSING
EO-VAE: Towards A Multi-sensor Tokenizer for Earth Observation Data
Evaluating Self-Supervised Objectives for Spectroscopic Satellite Embeddings
FOCUS: A Noise-Aware Geospatial Learning Framework for PFAS Contamination Mapping
From Pixels to Patches: Pooling Strategies for Earth Embeddings
Fusion of Foundation Models for Imbalanced SAR Ship Classification
GeoAI Agency Primitives
GeoCrossBench: Cross-Band Generalization for Remote Sensing
Global Particulate Matter Forecasting Using Lightweight, Region-Specific Deep Learning Models
Hedgementation = Hedgerow Segmentation: A Remote Sensing Benchmark
HOSS-Bench: Open-Set Cross-Modal Vessel Re-Identification Benchmark
Human-Guided Causal Hypothesis Testing for Remote Sensing Anomaly Detection
Large Multimodal Models Enable Scalable Monitoring of Aquaculture Ponds
MapRef: A Referring Expression Comprehension Benchmark for Maps
Monitoring access to piped water and sanitation infrastructure in Africa at disaggregated scales using satellite imagery and self-supervised learning
Multimodal AI-Driven Global Mapping of Anthropogenic Methane Emitters
Precipitation nowcasting of satellite data using physically-aligned neural networks
Recovering Cloud Microstructures with Cascaded Diffusion Inversion
Representation Mismatch in Remote Sensing Foundation Models
SAR-Conditioned Flow Matching for SAR-to-Optical Image Translation
Sat-JEPA-Diff: Bridging Self-Supervised Learning and Generative Diffusion for Remote Sensing
Self-Supervised Pretraining for Power Generation via Dynamic Guided Masking
Spatially-Constrained Clustering of Geospatial Features for Heat Vulnerability Assessment of Favelas in Rio de Janeiro
Spectral Gaps and Spatial Priors: Studying Hyperspectral Downstream Adaptation Using TerraMind
Survey Protocol Cards for Crop Maps
Transitive Semantic Alignment in Class-Conditioned Latent Diffusion for Martian Hyperspectral Mineral Mapping
Understanding Representation Gaps across Scales in Tropical Tree Species Classification from Drone Imagery
VibrantSR: Sub-Meter Canopy Height Models from Sentinel-2 Using Generative Flow Matching
When Does Embedding Arithmetic Fail? A Systematic Analysis in Remote Sensing Vision-Language Models
When Less Is More: Simplicity Beats Complexity for Physics-Constrained InSAR Phase Unwrapping
When Vision Needs a Second Look: Tool-Augmented Active Perception for Earth Observation