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
69.61/100
前 2.7%
全站排名 #1,754
发表论文13 篇
平均评分
年均产出4.3 篇/年
Mark Coates
研究方向
recommender systems · Graph learning · Bayesian inference · particle filters
19
One Demo Is All It Takes: Planning Domain Derivation with LLMs from A Single Demonstration
ICLR 2026Poster
24
A Balanced Neuro-Symbolic Approach for Commonsense Abductive Logic
ICLR 2026Poster
通讯11
Omni-Thinker: Scaling Multi-Task RL in LLMs with Hybrid Reward and Task Scheduling
ICLR 2026Rejected
12
It Takes Two: Your GRPO Is Secretly DPO
ICLR 2026Rejected
7
PhyloTextDiff: Text-Based Discrete Diffusion for Generative Phylogenetic Inference
ICLR 2026Rejected
三作21
Is the acquisition worth the cost? Surrogate losses for Consistent Two-stage Classifiers
NeurIPS 2025Spotlight
通讯16
C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning
NeurIPS 2025Poster
通讯30
Hint Marginalization for Improved Reasoning in Large Language Models
ICLR 2025Rejected
通讯9
When to retrain a machine learning model
ICML 2025Poster
29
When to retrain a machine learning model
ICLR 2025Rejected
15
SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting
ICML 2025Poster
通讯