Rebekka Burkholz

According to our database1, Rebekka Burkholz authored at least 23 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Not all tickets are equal and we know it: Guiding pruning with domain-specific knowledge.
CoRR, 2024

Masks, Signs, And Learning Rate Rewinding.
CoRR, 2024

2023
Preserving local densities in low-dimensional embeddings.
CoRR, 2023

Are GATs Out of Balance?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Why Random Pruning Is All We Need to Start Sparse.
Proceedings of the International Conference on Machine Learning, 2023

2022
GRAND: a database of gene regulatory network models across human conditions.
Nucleic Acids Res., 2022

How Erdös and Rényi Win the Lottery.
CoRR, 2022

Dynamical Isometry for Residual Networks.
CoRR, 2022

Most Activation Functions Can Win the Lottery Without Excessive Depth.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Convolutional and Residual Networks Provably Contain Lottery Tickets.
Proceedings of the International Conference on Machine Learning, 2022

Plant 'n' Seek: Can You Find the Winning Ticket?
Proceedings of the Tenth International Conference on Learning Representations, 2022

On the Existence of Universal Lottery Tickets.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Towards strong pruning for lottery tickets with non-zero biases.
CoRR, 2021

Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Gene Regulatory Network Inference as Relaxed Graph Matching.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Cascade Size Distributions: Why They Matter and How to Compute Them Efficiently.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019
On the performance of wireless powered communication networks over generalized κ-μ fading channels.
Phys. Commun., 2019

Cascade Size Distributions and Why They Matter.
CoRR, 2019

Initialization of ReLUs for Dynamical Isometry.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Exact information propagation through fully-connected feed forward neural networks.
CoRR, 2018

2017
Modeling the formation of R\&D alliances: An agent-based model with empirical validation.
CoRR, 2017

A framework for cascade size calculations on random networks.
CoRR, 2017

2016
Systemic Risk: From Generic Models to Food Trade Networks.
PhD thesis, 2016


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