Burkholz, Rebekka

23 publications

ICLR 2025 GNNs Getting ComFy: Community and Feature Similarity Guided Rewiring Celia Rubio-Madrigal, Adarsh Jamadandi, Rebekka Burkholz
ICLR 2025 Mask in the Mirror: Implicit Sparsification Tom Jacobs, Rebekka Burkholz
ICML 2025 Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias? Tom Jacobs, Chao Zhou, Rebekka Burkholz
NeurIPS 2025 Pay Attention to Small Weights Chao Zhou, Tom Jacobs, Advait Gadhikar, Rebekka Burkholz
NeurIPS 2025 Sign-in to the Lottery: Reparameterizing Sparse Training Advait Gadhikar, Tom Jacobs, Chao Zhou, Rebekka Burkholz
NeurIPS 2025 The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis Hoang Pham, The-Anh Ta, Tom Jacobs, Rebekka Burkholz, Long Tran-Thanh
ICLR 2024 Batch Normalization Is Sufficient for Universal Function Approximation in CNNs Rebekka Burkholz
NeurIPS 2024 Dynamic Rescaling for Training GNNs Nimrah Mustafa, Rebekka Burkholz
ICML 2024 GATE: How to Keep Out Intrusive Neighbors Nimrah Mustafa, Rebekka Burkholz
ICLR 2024 Masks, Signs, and Learning Rate Rewinding Advait Harshal Gadhikar, Rebekka Burkholz
NeurIPS 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 2023 Are GATs Out of Balance? Nimrah Mustafa, Aleksandar Bojchevski, Rebekka Burkholz
ICML 2023 Why Random Pruning Is All We Need to Start Sparse Advait Harshal Gadhikar, Sohom Mukherjee, Rebekka Burkholz
ICML 2022 Convolutional and Residual Networks Provably Contain Lottery Tickets Rebekka Burkholz
NeurIPS 2022 Most Activation Functions Can Win the Lottery Without Excessive Depth Rebekka Burkholz
ICLR 2022 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
NeurIPSW 2022 Using Hierarchical Variational Autoencoders to Incorporate Conditional Independent Priors for Paired Single-Cell Multi-Omics Data Integration Ping-Han Hsieh, Ru-Xiu Hsiao, Tatiana Belova, Katalin Ferenc, Anthony Mathelier, Rebekka Burkholz, Chien-Yu Chen, Geir Kjetil Sandve, Marieke Lydia Kuijjer
AAAI 2021 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
NeurIPS 2021 Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification Alkis Gotovos, Rebekka Burkholz, John Quackenbush, Stefanie Jegelka
NeurIPS 2019 Initialization of ReLUs for Dynamical Isometry Rebekka Burkholz, Alina Dubatovka