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Learning Mixture Models via Efficient High-dimensional Sparse Fourier Transforms
Arxiv
0+阅读 · 1月8日
DR-LoRA: Dynamic Rank LoRA for Mixture-of-Experts Adaptation
Arxiv
0+阅读 · 1月8日
Identifying expanding TCR clonotypes with a longitudinal Bayesian mixture model and their associations with cancer patient prognosis, metastasis-directed therapy, and VJ gene enrichment
Arxiv
0+阅读 · 1月8日
Gaussian Mixture Model with unknown diagonal covariances via continuous sparse regularization
Arxiv
0+阅读 · 1月8日
MixTTE: Multi-Level Mixture-of-Experts for Scalable and Adaptive Travel Time Estimation
Arxiv
0+阅读 · 1月6日
Scalable magnetic resonance fingerprinting: Incremental inference of high dimensional elliptical mixtures from large data volumes
Arxiv
0+阅读 · 1月6日
Scalable Bayesian Inference for Generalized Linear Mixed Models via Stochastic Gradient MCMC
Arxiv
0+阅读 · 1月6日
Falcon-H1R: Pushing the Reasoning Frontiers with a Hybrid Model for Efficient Test-Time Scaling
Arxiv
0+阅读 · 1月5日
MambaFormer: Token-Level Guided Routing Mixture-of-Experts for Accurate and Efficient Clinical Assistance
Arxiv
0+阅读 · 1月3日
Varying-Coefficient Mixture of Experts Model
Arxiv
0+阅读 · 1月5日
Geometric Regularization in Mixture-of-Experts: The Disconnect Between Weights and Activations
Arxiv
0+阅读 · 1月1日
uGMM-NN: Univariate Gaussian Mixture Model Neural Network
uGMM-NN: Univariate Gaussian Mixture Model Neural Network
Arxiv
0+阅读 · 1月2日
Dynamic Subspace Composition: Efficient Adaptation via Contractive Basis Expansion
Arxiv
0+阅读 · 2025年12月29日
Plasticity-Aware Mixture of Experts for Learning Under QoE Shifts in Adaptive Video Streaming
Arxiv
0+阅读 · 2025年12月27日
Bayesian Variational Inference for Mixed Data Mixture Models
Arxiv
0+阅读 · 2025年12月29日
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