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Max Welling

ICML 2026×5可解释性

新星分贡献者

46

一作贡献0

核心/参与20

方向广度2

合作网络12

0 一作 · 5 篇 · ICML 2026

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2026 顶会论文

5

作者位次 #5/8ICML 2026Poster· Deep Learning / Generative Models and Autoencoders

Categorical Flow Maps

Daan Roos · Oscar Davis · Floor Eijkelboom · Michael Bronstein · Max Welling · Ismail Ceylan · Luca Ambrogioni · Jan-Willem van de Meent

作者位次 #3/4ICML 2026Poster· Applications / Chemistry, Physics, and Earth Sciences

(Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting Models

Maksim Zhdanov · Ana Lucic · Max Welling · Jan-Willem van de Meent

作者位次 #3/3ICML 2026Poster· Applications / Chemistry, Physics, and Earth Sciences

BLIPs: Bayesian Learned Interatomic Potentials

Dario Coscia · Pim de Haan · Max Welling

作者位次 #6/7ICML 2026Poster· Probabilistic Methods / Bayesian Models and Methods

Robust Stochastic Gradient Posterior Sampling with Lattice Based Discretisation

Zier Mensch · Lars Holdijk · Samuel Duffield · Maxwell Aifer · Patrick Coles · Max Welling · Miranda C. N. Cheng

作者位次 #3/4ICML 2026Poster· Deep Learning / Attention Mechanisms

Krause Synchronization Transformers

Jingkun Liu · Yisong Yue · Max Welling · Yue Song

可解释性OpenReview

常见合作者

JMJan-Willem van de Meent×2 DRDaan Roos ODOscar Davis FEFloor Eijkelboom MBMichael Bronstein ICIsmail Ceylan LALuca Ambrogioni MZMaksim Zhdanov ALAna Lucic DCDario Coscia PHPim de Haan ZMZier Mensch