Philip Greengard
4 papers · 2023–2026 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Taxonomy Completionist
(12)
Top co-authors
Research topics
Keywords
model compression
(1)
federated learning
(1)
variational inference
(1)
self-supervised learning
(1)
low-rank decomposition
(1)
message passing
(1)
canonical correlation analysis
(1)
expectation propagation
(1)
hierarchical feature learning
(1)
posterior approximation
(1)
language model
(1)
parameter-efficient fine-tuning
(1)
parameter initialization
(1)
transformer training
(1)
kronecker factorization
(1)
model growth
(1)
biologically inspired computing
(1)
neural networks without backpropagation
(1)
matrix quantization
(1)
linear growth operator
(1)
Papers
A Network of Biologically Inspired Rectified Spectral Units (ReSUs) Learns Hierarchical Features Without Error Backpropagation
AAAI 2026
LQ-LoRA: Low-rank plus Quantized Matrix Decomposition for Efficient Language Model Finetuning
ICLR 2024
Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach
ICLR 2023
Learning to Grow Pretrained Models for Efficient Transformer Training
ICLR 2023