SA-Solver: Stochastic Adams solver for fast sampling of diffusion models
Abstract Diffusion Probabilistic Models (DPMs) have achieved considerable success in
generation tasks. As sampling from DPMs is equivalent to solving diffusion SDE or ODE …
generation tasks. As sampling from DPMs is equivalent to solving diffusion SDE or ODE …
The double-edged sword of exemplar similarity
We investigate how a firm's positioning relative to category exemplars shapes security
analysts' evaluations. Using a two-stage model of evaluation (initial screening and …
analysts' evaluations. Using a two-stage model of evaluation (initial screening and …
Ctfnet: Long-sequence time-series forecasting based on convolution and time–frequency analysis
Z Zhang, Y Chen, D Zhang, Y Qian… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Although current time-series forecasting methods have significantly improved the state-of-
the-art (SOTA) results for long-sequence time-series forecasting (LSTF), they still have …
the-art (SOTA) results for long-sequence time-series forecasting (LSTF), they still have …
Accelerating Diffusion Sampling with Optimized Time Steps
Diffusion probabilistic models (DPMs) have shown remarkable performance in high-
resolution image synthesis but their sampling efficiency is still to be desired due to the …
resolution image synthesis but their sampling efficiency is still to be desired due to the …
Multi-level knowledge distillation for out-of-distribution detection in text
Q Wu, H Jiang, H Yin, BF Karlsson, CY Lin - ar** systems capable of answering natural language queries. Within this domain …