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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 …
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 …
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 …
The double-edged sword of exemplar similarity
M Majzoubi, EY Zhao, T Zuzul… - Organization …, 2025 - pubsonline.informs.org
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 …
Multi-level knowledge distillation for out-of-distribution detection in text
Self-supervised representation learning has proved to be a valuable component for out-of-
distribution (OoD) detection with only the texts of in-distribution (ID) examples. These …
distribution (OoD) detection with only the texts of in-distribution (ID) examples. These …
HTAP databases: A survey
Since Gartner coined the term, Hybrid Transactional and Analytical Processing (HTAP),
numerous HTAP databases have been proposed to combine transactions with analytics in …
numerous HTAP databases have been proposed to combine transactions with analytics in …
Hypr: A comprehensive study for asr hypothesis revising with a reference corpus
With the development of deep learning, automatic speech recognition (ASR) has made
significant progress. To further enhance the performance of ASR, revising recognition results …
significant progress. To further enhance the performance of ASR, revising recognition results …
End-to-end word-level pronunciation assessment with MASK pre-training
Pronunciation assessment is a major challenge in the computer-aided pronunciation
training system, especially at the word (phoneme)-level. To obtain word (phoneme)-level …
training system, especially at the word (phoneme)-level. To obtain word (phoneme)-level …
PFDiff: Training-free Acceleration of Diffusion Models through the Gradient Guidance of Past and Future
Diffusion Probabilistic Models (DPMs) have shown remarkable potential in image
generation, but their sampling efficiency is hindered by the need for numerous denoising …
generation, but their sampling efficiency is hindered by the need for numerous denoising …
Diffusion Sampling Correction via Approximately 10 Parameters
G Wang, W Peng, L Li, W Chen, Y Cai, S Su - arxiv preprint arxiv …, 2024 - arxiv.org
Diffusion Probabilistic Models (DPMs) have demonstrated exceptional performance in
generative tasks, but this comes at the expense of sampling efficiency. To enhance sampling …
generative tasks, but this comes at the expense of sampling efficiency. To enhance sampling …