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
87.93/100
前 0.7%
全站排名 #464
发表论文17 篇
平均评分
年均产出5.7 篇/年
Joey Bose
研究方向
Generative Models · Geometric Deep Learning · Equivariant Machine Learning · Flow Matching
14
Efficient Regression-based Training of Normalizing Flows for Boltzmann Generators
ICLR 2026Poster
通讯19
OXtal: An All-Atom Diffusion Model for Organic Crystal Structure Prediction
ICLR 2026Poster
19
Planner Aware Path Learning in Diffusion Language Models Training
ICLR 2026Oral
14
Generalised Flow Maps for Few-Step Generative Modelling on Riemannian Manifolds
ICLR 2026Poster
通讯17
Path Planning for Diffusion Language Model Sampling
ICLR 2026Rejected
27
Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities
NeurIPS 2025Spotlight
三作23
The Superposition of Diffusion Models Using the Itô Density Estimator
ICLR 2025Spotlight
三作21
RETRO SYNFLOW: Discrete Flow-Matching for Accurate and Diverse Single-Step Retrosynthesis
NeurIPS 2025Poster
29
Curly Flow Matching for Learning Non-gradient Field Dynamics
NeurIPS 2025Poster
15
Scalable Equilibrium Sampling with Sequential Boltzmann Generators
ICML 2025Poster
二作32
Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction
ICLR 2025Poster
通讯