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
86.5/100
前 0.8%
全站排名 #527
发表论文23 篇
平均评分
年均产出7.7 篇/年
Anima Anandkumar
研究方向
large-scale learning · spectral methods · non-convex optimization · Reinforcement learning · Unsupervised learning · tensor methods · Optimization
19
OPERATOR LEARNING USING WEAK SUPERVISION FROM WALK-ON-SPHERES
ICLR 2026Rejected
27
The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMs
ICLR 2026Withdrawn
37
EquiReg: Equivariance Regularized Diffusion for Inverse Problems
ICLR 2026Rejected
通讯16
Flow-Guided Neural Operator For Self- Supervised Learning On Time Series Data
ICLR 2026Rejected
通讯32
NOBLE - Neural Operator with Biologically-informed Latent Embeddings to Capture Experimental Variability in Biological Neuron Models
NeurIPS 2025Poster
通讯19
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching
ICLR 2025Poster
通讯19
R-KV: Redundancy-aware KV Cache Compression for Reasoning Models
NeurIPS 2025Poster
39
Diffusion State-Guided Projected Gradient for Inverse Problems
ICLR 2025Poster
三作29
Robust Representation Consistency Model via Contrastive Denoising
ICLR 2025Poster
通讯23
Sequential Controlled Langevin Diffusions
ICLR 2025Poster
通讯29
Guided Diffusion Sampling on Function Spaces with Applications to PDEs
NeurIPS 2025Poster
通讯52
LeanAgent: Lifelong Learning for Formal Theorem Proving
ICLR 2025Poster
通讯29
Tensor-GaLore: Memory-Efficient Training via Gradient Tensor Decomposition
ICLR 2025Rejected
通讯