Abstract: To improve the performance of the dual-vector model predictive torque control (MPTC) scheme for SPMSM, for sectors II, IV, and VI, this paper attempts to improve the traditional dual-vector ...
Recent research suggests that generic large language models (LLMs) can match the accuracy of traditional methods when forecasting macroeconomic variables in pseudo out-of-sample settings generated via ...
Abstract: Vector autoregressive (VAR) models have long been valued for their comprehensive representation capabilities in signal processing. However, this requires learning a matrix of parameters that ...
1. Discrete Tokenizers Beat Continuous Tokenizers By scaling the codebook size to match the bit budget of continuous tokenizers, we demonstrate that discrete tokenizers can achieve competitive or ...
1️⃣ Efficiency Bottleneck: VAR exhibits scale and spatial redundancy, causing high GPU memory consumption. 2️⃣ Our Solution: The proposed method enables MVAR generation without relying on KV cache ...
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