影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
59.31/100
前 5%
全站排名 #3,203
发表论文12 篇
平均评分
年均产出4.0 篇/年
Thomas Möllenhoff
研究方向
bayesian deep learning · variational inference · convex optimization · deep learning · generative adversarial networks · convex relaxation methods
16
Variational Model Merging for Pareto Front Estimation in Multitask Finetuning
ICLR 2026Rejected
三作11
Log-Normal Multiplicative Dynamics for Stable Low-Precision Deep Learning
ICLR 2026Rejected
通讯12
Federated ADMM from Bayesian Duality
ICLR 2026Poster
一作13
SVRG and Beyond via Posterior Correction
ICLR 2026Rejected
二作16
Improving LoRA with Variational Learning
ICLR 2026Rejected
通讯8
Variational Graph Structure Learning for GNNs by Using Marginal Likelihood
ICLR 2026Rejected
二作16
Variational Learning Finds Flatter Solutions at the Edge of Stability
NeurIPS 2025Spotlight
通讯20
Compact Memory for Continual Logistic Regression
NeurIPS 2025Poster
19
How to Weight Multitask Finetuning? Fast Previews via Model Merging
ICLR 2025Rejected
二作21
Uncertainty-Aware Decoding with Minimum Bayes Risk
ICLR 2025Poster
三作