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
76.93/100
前 1.7%
全站排名 #1,088
发表论文16 篇
平均评分
年均产出5.3 篇/年
Meisam Razaviyayn
研究方向
Optimization · Adversarial Learning · Fairness in AI · Differential Privacy in Optimization · Memory efficient training · Pretraining LLMs
11
TNT: Improving Chunkwise Training for Test-Time Memorization
ICLR 2026Poster
9
ATLAS: Learning to Optimally Memorize the Context at Test Time
ICLR 2026Rejected
15
Memory-Efficient Differentially Private Training with Gradient Random Projection
ICLR 2026Rejected
8
Memory Caching: RNNs with Growing Memory
ICLR 2026Rejected
14
It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization
ICLR 2026Poster
二作23
PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts
NeurIPS 2025Spotlight
20
DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction
ICLR 2025Poster
21
Nested Learning: The Illusion of Deep Learning Architectures
NeurIPS 2025Poster
二作10
Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence
ICML 2025Poster
二作26
Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models
ICLR 2025Poster
11
Adaptively Private Next-Token Prediction of Large Language Models
ICLR 2025Withdrawn
二作9
Synthetic Text Generation for Training Large Language Models via Gradient Matching
ICML 2025Poster