Systemic Risk: From Generic Models to Food Trade Networks. - Rebekka Burkholz (2016)

A framework for cascade size calculations on random networks. - Rebekka Burkholz; Frank Schweitzer (CoRR, 2017)

Modeling the formation of R &D alliances: An agent-based model with empirical validation. - Mario V. Tomasello; Rebekka Burkholz; Frank Schweitzer (CoRR, 2017)

Exact information propagation through fully-connected feed forward neural networks. - Rebekka Burkholz; Alina Dubatovka (CoRR, 2018)

Initialization of ReLUs for Dynamical Isometry. - Rebekka Burkholz; Alina Dubatovka (NeurIPS, 2019)

Cascade Size Distributions and Why They Matter. - Rebekka Burkholz; John Quackenbush (CoRR, 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: Why They Matter and How to Compute Them Efficiently. - Rebekka Burkholz; John Quackenbush (AAAI, 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 (AAAI, 2021)

Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification. - Alkis Gotovos; Rebekka Burkholz; John Quackenbush; Stefanie Jegelka (NeurIPS, 2021)

Towards strong pruning for lottery tickets with non-zero biases. - Jonas Fischer; Rebekka Burkholz (CoRR, 2021)

On the Existence of Universal Lottery Tickets. - Rebekka Burkholz; Nilanjana Laha; Rajarshi Mukherjee; Alkis Gotovos (ICLR, 2022)

Plant 'n' Seek: Can You Find the Winning Ticket? - Jonas Fischer; Rebekka Burkholz (ICLR, 2022)

Convolutional and Residual Networks Provably Contain Lottery Tickets. - Rebekka Burkholz (ICML, 2022)

Most Activation Functions Can Win the Lottery Without Excessive Depth. - Rebekka Burkholz (NeurIPS, 2022)

Dynamical Isometry for Residual Networks. - Advait Gadhikar; Rebekka Burkholz (CoRR, 2022)

How Erdös and Rényi Win the Lottery. - Advait Gadhikar; Sohom Mukherjee; Rebekka Burkholz (CoRR, 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)

Why Random Pruning Is All We Need to Start Sparse. - Advait Harshal Gadhikar; Sohom Mukherjee; Rebekka Burkholz (ICML, 2023)

Are GATs Out of Balance? - Nimrah Mustafa; Aleksandar Bojchevski; Rebekka Burkholz (NeurIPS, 2023)

Preserving local densities in low-dimensional embeddings. - Jonas Fischer; Rebekka Burkholz; Jilles Vreeken (CoRR, 2023)

Batch normalization is sufficient for universal function approximation in CNNs. - Rebekka Burkholz (ICLR, 2024)

Masks, Signs, And Learning Rate Rewinding. - Advait Harshal Gadhikar; Rebekka Burkholz (ICLR, 2024)

GATE: How to Keep Out Intrusive Neighbors. - Nimrah Mustafa; Rebekka Burkholz (ICML, 2024)

Pruning neural network models for gene regulatory dynamics using data and domain knowledge. - Intekhab Hossain; Jonas Fischer; Rebekka Burkholz; John Quackenbush (NeurIPS, 2024)

Spectral Graph Pruning Against Over-Squashing and Over-Smoothing. - Adarsh Jamadandi; Celia Rubio-Madrigal; Rebekka Burkholz (NeurIPS, 2024)

Dynamic Rescaling for Training GNNs. - Nimrah Mustafa; Rebekka Burkholz (NeurIPS, 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)

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 001; Geir Kjetil Sandve; Tatiana Belova; Marieke L. Kuijjer (CoRR, 2024)

Cyclic Sparse Training: Is it Enough? - Advait Gadhikar; Sree Harsha Nelaturu; Rebekka Burkholz (CoRR, 2024)

Mask in the Mirror: Implicit Sparsification. - Tom Jacobs; Rebekka Burkholz (ICLR, 2025)

GNNs Getting ComFy: Community and Feature Similarity Guided Rewiring. - Celia Rubio-Madrigal; Adarsh Jamadandi; Rebekka Burkholz (ICLR, 2025)

Sign-In to the Lottery: Reparameterizing Sparse Training From Scratch. - Advait Gadhikar; Tom Jacobs; Chao Zhou; Rebekka Burkholz (CoRR, 2025)

Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias? - Tom Jacobs; Chao Zhou; Rebekka Burkholz (CoRR, 2025)

When Shift Happens - Confounding Is to Blame. - Abbavaram Gowtham Reddy; Celia Rubio-Madrigal; Rebekka Burkholz; Krikamol Muandet (CoRR, 2025)

HAM: A Hyperbolic Step to Regulate Implicit Bias. - Tom Jacobs; Advait Gadhikar; Celia Rubio-Madrigal; Rebekka Burkholz (CoRR, 2025)

Pay Attention to Small Weights. - Chao Zhou; Tom Jacobs; Advait Gadhikar; Rebekka Burkholz (CoRR, 2025)