Financial word of the day: Heteroscedasticity describes a situation where risk (variance) changes with the level of a variable. In financial models, this means volatility is not constant. Most pricing ...

This is a PyTorch/GPU implementation of the paper "Vision Foundation Models as Effective Visual Tokenizers for Autoregressive Generation", referred to as VFMTok, which establishes new state-of-the-art ...

We introduce OneCAT, a unified multimodal model that seamlessly integrates understanding, generation, and editing within a novel, pure decoder-only transformer architecture. Our framework uniquely ...

1 School of Environment, Education and Development, University of Manchester, Manchester, United Kingdom 2 Duke University, Durham, NC, United States In financial production systems, accurate risk ...

Abstract: Recent advances in deep learning have highlighted the importance of Grapheme-to-Phoneme (G2P) conversion in natural language processing and speech synthesis. Korean exhibits complex ...

Abstract: Ship license plate recognition (SLPR) is a fundamental visual task in intelligent waterway transportation systems that aims to transcribe ship name text images into editable text strings.

LLMs have revolutionized artificial intelligence, transforming various applications across industries. Autoregressive (AR) models dominate current text generation, with leading systems like GPT-4, ...

Since the release of DALL-E in 2021, the first AI image-generating model to popularize the tech, much progress has been made in the AI text-to-image generator space with improved quality, speed, and ...

This paper presents a comparative study of ARIMA and Neural Network AutoRegressive (NNAR) models for time series forecasting. The study focuses on simulated data generated using ARIMA(1, 1, 0) and ...