mamba

When Transformers Meet Mamba: A Hybrid Transformer-Mamba Network for Video Object Detection CVPR 2026 Efficient LiDAR Reflectance Compression via Scanning Serialization ICML 2025 FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining ICML 2025 MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition ICML 2025 Parameter-Efficient Fine-Tuning of State Space Models ICML 2025 Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models ICML 2025 Understanding Input Selectivity in Mamba: Impact on Approximation Power, Memorization, and Associative Recall Capacity ICML 2025 Can Mamba Learn How To Learn? A Comparative Study on In-Context Learning Tasks ICML 2024 Is Mamba Capable of In-Context Learning? AutoML 2024 MaIL: Improving Imitation Learning with Selective State Space Models CoRL 2024 Mechanistic Design and Scaling of Hybrid Architectures ICML 2024 The Pitfalls of Next-Token Prediction ICML 2024 Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality ICML 2024 Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model ICML 2024