4 papers · 1 filter
Scan-Parallel Variational Inference for event-driven Latent Jump Models
Vansh Bansal, Min Chen, James G. Scott
Continuous-time latent state-space models are widely used for irregularly observed time series, typically representing uncertainty through a random initial state followed by smooth…
Walk fast but be careful: Understanding Parallel Sampling in Masked Diffusion
Vansh Bansal, Cho Cholyeon, Cholyeon Cho +3
In this paper, we use random walks on graphs as a verifiable sandbox for studying parallel sampling strategies in masked diffusion models (MDMs). We train an MDM on random walk sam…
Delta-Based Target Reformulation for Short-Term Electricity Load Forecasting Using LSTM and Transformer Models
Vansh Bansal
Accurate short-term electricity load forecasting is critical for the reliable and economic operation of modern power systems, under non-stationarity arising from weather variabilit…
Score-Guided Proximal Projection: A Unified Geometric Framework for Rectified Flow Editing
Vansh Bansal, James G Scott
Rectified Flow (RF) models achieve state-of-the-art generation quality, yet controlling them for precise tasks -- such as semantic editing or blind image recovery -- remains a chal…