Abstract: This paper proposes a decoder-only Transformer model for analyzing and clustering vehicle-to-vehicle interactions in highway merge zones. Leveraging deep learning, the model captures complex ...
Baseline transformer_baseline.py Sinusoidal PE (added to embedding) Standard Scaled Dot-Product RoFormer transformer.py RoPE (rotation applied to Q·K) Standard Scaled Dot-Product Adds a sinusoidal ...
A cinematic obsessive with the filmic palate of a starving raccoon, Rob London will watch pretty much anything once. With a mind like a steel trap, he's an endless fount of movie and TV trivia, borne ...
Abstract: We present an attention-based transformer learning approach for dynamic resource allocation in multi-carrier non-orthogonal multiple access (NOMA) downlink systems. We propose transformer ...
We present STream3R, a novel approach to 3D reconstruction that reformulates pointmap prediction as a decoder-only Transformer problem. Existing state-of-the-art methods for multi-view reconstruction ...
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