"gaussian mixture models" Papers
9 papers found
Attention-based clustering
Rodrigo Maulen Soto, Pierre Marion, Claire Boyer
NeurIPS 2025posterarXiv:2505.13112
Go With the Flow: Fast Diffusion for Gaussian Mixture Models
George Rapakoulias, Ali Reza Pedram, Fengjiao Liu et al.
NeurIPS 2025spotlightarXiv:2412.09059
3
citations
How Much is a Noisy Image Worth? Data Scaling Laws for Ambient Diffusion.
Giannis Daras, Yeshwanth Cherapanamjeri, Constantinos C Daskalakis
ICLR 2025posterarXiv:2411.02780
16
citations
Transformers are almost optimal metalearners for linear classification
Roey Magen, Gal Vardi
NeurIPS 2025posterarXiv:2510.19797
1
citations
Analyzing $D^\alpha$ seeding for $k$-means
Etienne Bamas, Sai Ganesh Nagarajan, Ola Svensson
ICML 2024poster
Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures
Zenan Ling, Longbo Li, Zhanbo Feng et al.
ICML 2024poster
GMM-IKRS: Gaussian Mixture Models for Interpretable Keypoint Refinement and Scoring
Emanuele Santellani, Martin Zach, Christian Sormann et al.
ECCV 2024posterarXiv:2408.17149
3
citations
Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts?
Huy Nguyen, Pedram Akbarian, Nhat Ho
ICML 2024poster
Theoretical insights for diffusion guidance: A case study for Gaussian mixture models
Yuchen Wu, Minshuo Chen, Zihao Li et al.
ICML 2024poster