Poster "density estimation" Papers
14 papers found
Conference
CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices
XUCHEN FENG, Siyu Liao
NEURIPS 2025arXiv:2510.25323
CONTRA: Conformal Prediction Region via Normalizing Flow Transformation
Zhenhan FANG, Aixin Tan, Jian Huang
ICLR 2025
8
citations
Density estimation with LLMs: a geometric investigation of in-context learning trajectories
Toni Liu, Nicolas Boulle, Raphaël Sarfati et al.
ICLR 2025arXiv:2410.05218
4
citations
Fairness-aware Anomaly Detection via Fair Projection
Feng Xiao, Xiaoying Tang, Jicong Fan
NEURIPS 2025arXiv:2505.11132
Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor
Maryam Aliakbarpour, Zhan Shi, Ria Stevens et al.
NEURIPS 2025arXiv:2506.01162
SD-KDE: Score-Debiased Kernel Density Estimation
Elliot Epstein, Rajat Vadiraj Dwaraknath, Thanawat Sornwanee et al.
NEURIPS 2025arXiv:2504.19084
2
citations
Variational Polya Tree
Lu Xu, Tsai Hor Chan, Lequan Yu et al.
NEURIPS 2025arXiv:2510.22651
Diffusion Models Encode the Intrinsic Dimension of Data Manifolds
Jan Stanczuk, Georgios Batzolis, Teo Deveney et al.
ICML 2024
Efficient Mixture Learning in Black-Box Variational Inference
Alexandra Hotti, Oskar Kviman, Ricky Molén et al.
ICML 2024arXiv:2406.07083
3
citations
FlowCon: Out-of-Distribution Detection using Flow-based Contrastive Learning
Saandeep Aathreya, Shaun Canavan
ECCV 2024arXiv:2407.03489
4
citations
Improving Adversarial Energy-Based Model via Diffusion Process
Cong Geng, Tian Han, Peng-Tao Jiang et al.
ICML 2024arXiv:2403.01666
5
citations
Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling
Olaf Dünkel, Tim Salzmann, Florian Pfaff
CVPR 2024arXiv:2404.05675
6
citations
Sample Complexity Bounds for Estimating Probability Divergences under Invariances
Behrooz Tahmasebi, Stefanie Jegelka
ICML 2024arXiv:2311.02868
11
citations
Sobolev Space Regularised Pre Density Models
Mark Kozdoba, Binyamin Perets, Shie Mannor
ICML 2024arXiv:2307.13763
1
citations