Rebekka Burkholz
19 papers · 2019–2025 · 4 conferences · across top CS/AI conferences
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NIPS (7)
ICLR (6)
ICML (4)
AAAI (2)
Top co-authors
Keywords
neural network pruning
(4)
lottery ticket hypothesis
(3)
graph neural network
(3)
gene regulatory network
(2)
likelihood maximization
(1)
model interpretability
(1)
neural network theory
(1)
network inference
(1)
attention mechanism
(1)
stochastic process
(1)
structural learning
(1)
maximum likelihood estimation
(1)
signal propagation
(1)
domain knowledge
(1)
spectral algorithm
(1)
influence maximization
(1)
weight initialization
(1)
convolutional network
(1)
gradient flow
(1)
message passing
(1)
Papers
GNNs Getting ComFy: Community and Feature Similarity Guided Rewiring
ICLR 2025
Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias?
ICML 2025
Mask in the Mirror: Implicit Sparsification
ICLR 2025
Masks, Signs, And Learning Rate Rewinding
ICLR 2024
Dynamic Rescaling for Training GNNs
NIPS 2024
GATE: How to Keep Out Intrusive Neighbors
ICML 2024
Pruning neural network models for gene regulatory dynamics using data and domain knowledge
NIPS 2024
Batch normalization is sufficient for universal function approximation in CNNs
ICLR 2024
Spectral Graph Pruning Against Over-Squashing and Over-Smoothing
NIPS 2024
Why Random Pruning Is All We Need to Start Sparse
ICML 2023
Are GATs Out of Balance?
NIPS 2023
On the Existence of Universal Lottery Tickets
ICLR 2022
Most Activation Functions Can Win the Lottery Without Excessive Depth
NIPS 2022
Plant 'n' Seek: Can You Find the Winning Ticket?
ICLR 2022
Convolutional and Residual Networks Provably Contain Lottery Tickets
ICML 2022
Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification
NIPS 2021
Gene Regulatory Network Inference as Relaxed Graph Matching
AAAI 2021
Cascade Size Distributions: Why They Matter and How to Compute Them Efficiently
AAAI 2021
Initialization of ReLUs for Dynamical Isometry
NIPS 2019