3 papers
cs.LG2025
Do traveling waves make good positional encodings?
Chase van de Geijn, Ayush Paliwal, Timo Lüddecke +1
Transformers rely on positional encoding to compensate for the inherent permutation invariance of self-attention. Traditional approaches use absolute sinusoidal embeddings or learn…
cs.LG2025
Clifford Algebraic Rotor Embeddings : Maybe embeddings should start to CARE
Sameeksha Sriram, Ayush Paliwal, Alexander S. Ecker +1
Rotary Positional Embeddings (RoPE) have demonstrated exceptional performance as a positional encoding method, consistently outperforming their baselines. While recent work has sou…
cs.CV2025
A Circular Argument : Does RoPE need to be Equivariant for Vision?
Chase van de Geijn, Timo Lüddecke, Polina Turishcheva +1
Rotary Positional Encodings (RoPE) have emerged as a highly effective technique for one-dimensional sequences in Natural Language Processing spurring recent progress towards genera…