Rebekka Burkholz

According to our database, Rebekka Burkholz authored at least 29 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Mask in the Mirror: Implicit Sparsification.

Tom Jacobs, Rebekka Burkholz

CoRR, 2024

Cyclic Sparse Training: Is it Enough?

Advait Gadhikar, Sree Harsha Nelaturu, Rebekka Burkholz

CoRR, 2024

CAVACHON: a hierarchical variational autoencoder to integrate multi-modal single-cell data.

Ping-Han Hsieh, Ru-Xiu Hsiao, Katalin Ferenc, Anthony Mathelier, Rebekka Burkholz, Chien-Yu Chen, Geir Kjetil Sandve, Tatiana Belova, Marieke L. Kuijjer

CoRR, 2024

Spectral Graph Pruning Against Over-Squashing and Over-Smoothing.

Adarsh Jamadandi, Celia Rubio-Madrigal, Rebekka Burkholz

CoRR, 2024

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

Intekhab Hossain, Jonas Fischer, Rebekka Burkholz, John Quackenbush

CoRR, 2024

GATE: How to Keep Out Intrusive Neighbors.

Nimrah Mustafa, Rebekka Burkholz

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Masks, Signs, And Learning Rate Rewinding.

Advait Harshal Gadhikar, Rebekka Burkholz

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Batch normalization is sufficient for universal function approximation in CNNs.

Rebekka Burkholz

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Preserving local densities in low-dimensional embeddings.

Jonas Fischer, Rebekka Burkholz, Jilles Vreeken

CoRR, 2023

Are GATs Out of Balance?

Nimrah Mustafa, Aleksandar Bojchevski, Rebekka Burkholz

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.

Advait Harshal Gadhikar, Sohom Mukherjee, Rebekka Burkholz

Proceedings of the International Conference on Machine Learning, 2023

2022

GRAND: a database of gene regulatory network models across human conditions.

Marouen Ben Guebila, Camila Miranda Lopes-Ramos, Deborah A. Weighill, Abhijeet Rajendra Sonawane, Rebekka Burkholz, Behrouz Shamsaei, John Platig, Kimberly Glass, Marieke L. Kuijjer, John Quackenbush

Nucleic Acids Res., 2022

How Erdös and Rényi Win the Lottery.

Advait Gadhikar, Sohom Mukherjee, Rebekka Burkholz

CoRR, 2022

Dynamical Isometry for Residual Networks.

Advait Gadhikar, Rebekka Burkholz

CoRR, 2022

Most Activation Functions Can Win the Lottery Without Excessive Depth.

Rebekka Burkholz

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.

Rebekka Burkholz

Proceedings of the International Conference on Machine Learning, 2022

Plant 'n' Seek: Can You Find the Winning Ticket?

Jonas Fischer, Rebekka Burkholz

Proceedings of the Tenth International Conference on Learning Representations, 2022

On the Existence of Universal Lottery Tickets.

Rebekka Burkholz, Nilanjana Laha, Rajarshi Mukherjee, Alkis Gotovos

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

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

Jonas Fischer, Rebekka Burkholz

CoRR, 2021

Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification.

Alkis Gotovos, Rebekka Burkholz, John Quackenbush, Stefanie Jegelka

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.

Deborah A. Weighill, Marouen Ben Guebila, Camila Miranda Lopes-Ramos, Kimberly Glass, John Quackenbush, John Platig, Rebekka Burkholz

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Cascade Size Distributions: Why They Matter and How to Compute Them Efficiently.

Rebekka Burkholz, John Quackenbush

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.

Deepan Naorem, Rebekka Burkholz

Phys. Commun., 2019

Cascade Size Distributions and Why They Matter.

Rebekka Burkholz, John Quackenbush

CoRR, 2019

Initialization of ReLUs for Dynamical Isometry.

Rebekka Burkholz, Alina Dubatovka

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.

Rebekka Burkholz, Alina Dubatovka

CoRR, 2018

2017

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

Mario V. Tomasello, Rebekka Burkholz, Frank Schweitzer

CoRR, 2017

A framework for cascade size calculations on random networks.

Rebekka Burkholz, Frank Schweitzer

CoRR, 2017

2016

Systemic Risk: From Generic Models to Food Trade Networks.

Rebekka Burkholz

PhD thesis, 2016