ICML 2026PastGenerative models
Second Workshop of AI4NextG @ ICML 2026: AI and ML for Next-Generation Wireless
AI4NextG @ ICML 2026
- Submission deadline
- May 5, 2026, 11:59 UTCOpenReview-synced 2026-05-05 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 (28)
Fetched from OpenReview (v2) on 2026-06-10.
A Tale of Two Learning Algorithms: Multiple Stream Random Walk and Asynchronous Gossip
Against the Monolithic Wireless World Model: Why NextG Needs Composable and Agentic Intelligence
Beyond Exact-Match: Semantic Authentication for AI-Native Wireless Systems
Beyond Type-II: Site-Specific Subspace Inference for Efficient CSI Feedback
Capacity-Aware Federated Offline Reinforcement Learning for Resource-Heterogeneous Edge Clients
Certified Characterization of Privacy, Participation, and Convergence in Over-the-Air Federated Learning
Conformal Semantic Communication: Distribution-Free Task-Level Coverage Guarantees for Goal-Oriented Transmission Under Channel Shift
Deep Reinforcement Learning-based Multi-Target Tracking and Association in Cooperative Millimeter-Wave ISAC Systems
Distribution-Free Adaptive Modulation and Coding via Online Conformal Inference under Non-Stationary Fading
Domain Adaptation Under Wireless Network Constraints: When Does It Become Green?
Efficient Graph Attention-based Learning for Traffic Prediction and Uncertainty-Aware Anomaly Detection in AI-driven O-RAN
Graph-Localized Offline Federated Multi-Agent Reinforcement Learning for Wireless Networks
Inductive Latent Context Persistence: Closing the Post-Handover Cold Start in 6G Radio Access Networks
Intent-Driven 6G Service Orchestration: Grounded Translation, Validation, and Decomposition
Interpretable and Privacy-Preserving Federated Learning via Subspace Representations
Learning to Offload with Low Regret under Asymmetric Misclassification Costs
MambaCSP: Hybrid-Attention State Space Models for Hardware-Efficient Channel State Prediction
Normalization-Free Knowledge Distillation for Variable-Bit CSI Feedback in Massive MIMO
PAW: Parallel-Wavelet Attention for Lightweight Asymmetric Semantic Image Communication in 6G Space Networks
PilotWiMAE: Wireless Channel Pilots Are All You Need
Risk-Calibrated Semantic Transmission for Communication-Efficient Heterogeneous Collaborative Inference
Sample-Efficient Self-Interference Cancellation for In-Band Full Duplex Radios via In-Context Learning
Self-Explaining Reinforcement Learning for Mobile Network Resource Allocation
Structured Masked Diffusion for Joint Multiuser Decoding
Toward Reliable Intrusion Monitoring for O-RAN Based Networks with Conformal False Alarm Control
Towards Edge-deployable Telecom Intelligence with Efficient Small Language Models
Value Decomposition Fails in Anti-Coordination: A Systematic MARL Comparison for Dynamic Spectrum Access in Dense 6G Networks
Video Generation Empowered Long-Term Radio Map Prediction in UAV-Assisted Communication