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Results for “seq2seq” · papers 2 · wiki 4
Academic Papers · 2arXiv q-fin live 2 · desk corpus 1
arXiv · arXiv q-fin · 2023

Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction

Multi-step stock price prediction over a long-term horizon is crucial for forecasting its volatility, allowing financial institutions to price and hedge derivatives, and banks to quantify the risk in their trading books. Additionally, most financial regulators also require a liquidity horizon of several days for institutional investors to exit their risky assets, in order to not materially affect market prices. Howev…

Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua
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arXiv · arXiv q-fin · 2023

Stock Broad-Index Trend Patterns Learning via Domain Knowledge Informed Generative Network

Predicting the Stock movement attracts much attention from both industry and academia. Despite such significant efforts, the results remain unsatisfactory due to the inherently complicated nature of the stock market driven by factors including supply and demand, the state of the economy, the political climate, and even irrational human behavior. Recently, Generative Adversarial Networks (GAN) have been extended for t…

Jingyi Gu, Fadi P. Deek, Guiling Wang
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Wiki Entities · 4
AI Systems

Attention Mechanism

Attention builds a weighted average of values, with weights from a compatibility function of queries and keys. It lets a model focus on relevant parts of a context instead of a single fixed vector.

AI Systems

Beam Search

Beam search is a heuristic decoder that keeps the k best partial sequences at each step instead of greedily taking only the top token — the classic seq2seq inference method.

AI Systems

Sequence-to-Sequence

Seq2seq maps an input sequence to an output sequence of possibly different length via an encoder–decoder, originally with RNNs and later with Transformers.

AI Systems

Teacher Forcing

Teacher forcing trains a sequential decoder on the ground-truth previous token instead of its own prediction — fast and biased, which is why exposure bias exists.

Option Blackboard · 0
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Encyclopedia · 2
AI Systems · Foundations

Beam Search

Beam search is a heuristic decoder that keeps the k best partial sequences at each step instead of greedily taking only the top token — the classic seq2seq inference method.

AI Systems · Foundations

Sequence-to-Sequence

Seq2seq maps an input sequence to an output sequence of possibly different length via an encoder–decoder, originally with RNNs and later with Transformers.

Cards · 0
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