Jared Tanner
5 papers · 2021–2025 · 2 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Bronze
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Taxonomy Completionist
(15)
Top co-authors
Research topics
Deep Learning
(5)
Machine Learning
(4)
Architectures
(3)
Optimization & Theory · Deep Learning
(3)
Optimization & Theory · Machine Learning
(3)
Artificial Intelligence
(2)
Application Areas
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core AI
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Techniques
(1)
Keywords
gaussian process
(2)
deep learning
(2)
network pruning
(1)
reconstruction error
(1)
random matrix theory
(1)
activation function
(1)
bayesian neural network
(1)
parameter efficiency
(1)
softmax attention
(1)
neural network initialization
(1)
singular value
(1)
weight distribution
(1)
gradient propagation
(1)
spectral gap
(1)
infinite-width limit
(1)
iterative pruning
(1)
neural network
(1)
sparse initialization
(1)
extreme sparsity
(1)
dct plus sparse
(1)
Papers
Mind the Gap: a Spectral Analysis of Rank Collapse and Signal Propagation in Attention Layers
ICML 2025
Beyond IID weights: sparse and low-rank deep Neural Networks are also Gaussian Processes
ICLR 2024
DEEP NEURAL NETWORK INITIALIZATION WITH SPARSITY INDUCING ACTIVATIONS
ICLR 2024
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs
ICLR 2024
Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset
ICML 2021