2024 "gaussian mixture models" Papers

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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 2024posterarXiv:2402.02697

Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling

Wonho Bae, Jing Wang, Danica J. Sutherland

ECCV 2024posterarXiv:2311.02879
1
citations

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 2024posterarXiv:2401.13875

Theoretical insights for diffusion guidance: A case study for Gaussian mixture models

Yuchen Wu, Minshuo Chen, Zihao Li et al.

ICML 2024posterarXiv:2403.01639

This Probably Looks Exactly Like That: An Invertible Prototypical Network

Zachariah Carmichael, Timothy Redgrave, Daniel Gonzalez Cedre et al.

ECCV 2024posterarXiv:2407.12200
6
citations