Poster "probabilistic modeling" Papers

15 papers found

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Conference

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Paper Type

poster (24,624)paper (8,558)oral (1,594)spotlight (1,421)highlight (975)

Connecting Federated ADMM to Bayes

Siddharth Swaroop, Mohammad Emtiyaz Khan, Finale Doshi-Velez

ICLR 2025arXiv:2501.17325
4
citations

Distribution-Free Data Uncertainty for Neural Network Regression

Domokos M. Kelen, Ádám Jung, Péter Kersch et al.

ICLR 2025
3
citations

Gaussian Processes for Shuffled Regression

Masahiro Kohjima

NEURIPS 2025

Information-Driven Design of Imaging Systems

Henry Pinkard, Leyla Kabuli, Eric Markley et al.

NEURIPS 2025arXiv:2405.20559
9
citations

K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences

Zhikai Li, Xuewen Liu, Dongrong Joe Fu et al.

CVPR 2025arXiv:2408.14468
10
citations

SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images

Zixuan Huang, Mark Boss, Aaryaman Vasishta et al.

CVPR 2025arXiv:2501.04689
33
citations

A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNs

Lars Veefkind, Gabriele Cesa

ICML 2024arXiv:2406.03946
6
citations

Arrows of Time for Large Language Models

Vassilis Papadopoulos, Jérémie Wenger, Clement Hongler

ICML 2024arXiv:2401.17505
14
citations

CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling

JUNCHAO GONG, LEI BAI, Peng Ye et al.

ICML 2024arXiv:2402.04290
46
citations

CLIFF: Continual Latent Diffusion for Open-Vocabulary Object Detection

Wuyang Li, Xinyu Liu, Jiayi Ma et al.

ECCV 2024
14
citations

DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting

Demin Yu, Xutao Li, Yunming Ye et al.

CVPR 2024arXiv:2312.06734
60
citations

Dual Operating Modes of In-Context Learning

Ziqian Lin, Kangwook Lee

ICML 2024arXiv:2402.18819
46
citations

RICA^2: Rubric-Informed, Calibrated Assessment of Actions

Abrar Majeedi, Viswanatha Reddy Gajjala, Satya Sai Srinath Namburi GNVV et al.

ECCV 2024
12
citations

SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning

Chaoqun Du, Yizeng Han, Gao Huang

ICML 2024arXiv:2402.13505
14
citations

Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding

Guangyi Liu, Yu Wang, Zeyu Feng et al.

ICML 2024arXiv:2402.19009
8
citations