ICLR 2026 Past Other
4th ICLR Workshop on Machine Learning for Remote Sensing (Main Track)
ML4RS @ ICLR 2026 (Main)
- Submission deadline
- Feb 7, 2026, 11:59 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 (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