3 papers
cs.LG2026
DSTNet: Dynamic Spectral Trajectory Network for Causal Multi-Horizon Financial Forecasting
Aashish Bohra, Lokendra Vishwakarm
Wavelet-based financial forecasters typically use the transform only to denoise, or reduce it to a single spectral snapshot at the forecast origin, and the convolution that produce…
cs.LG2026
WaVeFuse: Regime-Adaptive Equity Index Forecasting via Channel-Wise Wavelet Denoising and Vertical Attention Fusion
Aashish Bohra, Vivek Vijay
Hybrid Deep Learning for equity index forecasting is limited by three problems: propagation of OHLCV noise into derived technical indicators (TIs), channel-indiscriminate multi-sca…
cs.LG2026
VertiFuseX: Generalizable Financial Forecasting via Multi-Stream Temporal Fusion
Aashish Bohra, Vivek Vijay
Stock price prediction remains challenging due to the non-stationary and noisy nature of financial time series. Existing deep learning models often rely on rigid decision-level fus…