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
42.91/100
前 12.4%
全站排名 #7,973
发表论文9 篇
平均评分
年均产出4.5 篇/年
Dmitry Vetrov
研究方向
variational bayesian inference · deep learning · loss landscape · diffusion models
32
Diffusion on language model encodings for protein sequence generation
ICLR 2025Rejected
通讯18
Regularized Distribution Matching Distillation for One-step Unpaired Image-to-Image Translation
ICLR 2025Rejected
三作6
SepNorm: Generalization of Lion and Normalised Gradient Methods
ICLR 2025Rejected
通讯6
Towards Robust Evaluation of Protein Generative Models: A Systematic Analysis of Metrics
ICLR 2025Rejected
通讯18
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
NeurIPS 2024Poster
二作16
Gradual Optimization Learning for Conformational Energy Minimization
ICLR 2024Poster
16
HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach
NeurIPS 2024Poster
三作14
Where Do Large Learning Rates Lead Us?
NeurIPS 2024Poster
通讯22
Neural Diffusion Models
ICLR 2024Rejected
二作