Rebekka Burkholz

56 papers A* 19Journal 36

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bridging Domains through Subspace-Aware Model Merging. CoRR Levy G. Chaves, Chao Zhou, Rebekka Burkholz, Eduardo Valle, Sandra Avila
2026	J	`jnl`	Don't Trust Stubborn Neighbors: A Security Framework for Agentic Networks. CoRR Samira Abedini, Sina Mavali, Lea Schönherr, Martin Pawelczyk, Rebekka Burkholz
2026	J	`jnl`	Fixed Aggregation Features Can Rival GNNs. CoRR Celia Rubio-Madrigal, Rebekka Burkholz
2026	J	`jnl`	Frequency-Based Hyperparameter Selection in Games. CoRR Aniket Sanyal, Baraah A. M. Sidahmed, Rebekka Burkholz, Tatjana Chavdarova
2026	J	`jnl`	Never Saddle for Reparameterized Steepest Descent as Mirror Flow. CoRR Tom Jacobs, Chao Zhou, Rebekka Burkholz
2026	J	`jnl`	Robustness of Mixtures of Experts to Feature Noise. CoRR Dong Sun, Rahul Nittala, Rebekka Burkholz
2025	A*	`conf`	GNNs Getting ComFy: Community and Feature Similarity Guided Rewiring. ICLR Celia Rubio-Madrigal, Adarsh Jamadandi, Rebekka Burkholz
2025	J	`jnl`	GNNs Getting ComFy: Community and Feature Similarity Guided Rewiring. CoRR Celia Rubio-Madrigal, Adarsh Jamadandi, Rebekka Burkholz
2025	J	`jnl`	HAM: A Hyperbolic Step to Regulate Implicit Bias. CoRR Tom Jacobs, Advait Gadhikar, Celia Rubio-Madrigal, Rebekka Burkholz
2025	A*	`conf`	Mask in the Mirror: Implicit Sparsification. ICLR Tom Jacobs, Rebekka Burkholz
2025	A*	`conf`	Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias? ICML Tom Jacobs, Chao Zhou, Rebekka Burkholz
2025	J	`jnl`	Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias? CoRR Tom Jacobs, Chao Zhou, Rebekka Burkholz
2025	J	`jnl`	Pay Attention to Small Weights. CoRR Chao Zhou, Tom Jacobs, Advait Gadhikar, Rebekka Burkholz
2025	J	`jnl`	Sign-In to the Lottery: Reparameterizing Sparse Training From Scratch. CoRR Advait Gadhikar, Tom Jacobs, Chao Zhou, Rebekka Burkholz
2025	J	`jnl`	The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis. CoRR Hoang Pham, The-Anh Ta, Tom Jacobs, Rebekka Burkholz, Long Tran-Thanh
2025	J	`jnl`	When Shift Happens - Confounding Is to Blame. CoRR Abbavaram Gowtham Reddy, Celia Rubio-Madrigal, Rebekka Burkholz, Krikamol Muandet
2024	A*	`conf`	Batch normalization is sufficient for universal function approximation in CNNs. ICLR Rebekka Burkholz
2024	J	`jnl`	CAVACHON: a hierarchical variational autoencoder to integrate multi-modal single-cell data. CoRR Ping-Han Hsieh, Ru-Xiu Hsiao, Katalin Ferenc, Anthony Mathelier, Rebekka Burkholz, Chien-Yu Chen, Geir Kjetil Sandve, Tatiana Belova, Marieke L. Kuijjer
2024	J	`jnl`	Cyclic Sparse Training: Is it Enough? CoRR Advait Gadhikar, Sree Harsha Nelaturu, Rebekka Burkholz
2024	A*	`conf`	Dynamic Rescaling for Training GNNs. NeurIPS Nimrah Mustafa, Rebekka Burkholz
2024	A*	`conf`	GATE: How to Keep Out Intrusive Neighbors. ICML Nimrah Mustafa, Rebekka Burkholz
2024	J	`jnl`	GATE: How to Keep Out Intrusive Neighbors. CoRR Nimrah Mustafa, Rebekka Burkholz
2024	J	`jnl`	Mask in the Mirror: Implicit Sparsification. CoRR Tom Jacobs, Rebekka Burkholz
2024	A*	`conf`	Masks, Signs, And Learning Rate Rewinding. ICLR Advait Harshal Gadhikar, Rebekka Burkholz
2024	J	`jnl`	Masks, Signs, And Learning Rate Rewinding. CoRR Advait Gadhikar, Rebekka Burkholz
2024	J	`jnl`	Not all tickets are equal and we know it: Guiding pruning with domain-specific knowledge. CoRR Intekhab Hossain, Jonas Fischer, Rebekka Burkholz, John Quackenbush
2024	A*	`conf`	Pruning neural network models for gene regulatory dynamics using data and domain knowledge. NeurIPS Intekhab Hossain, Jonas Fischer, Rebekka Burkholz, John Quackenbush
2024	A*	`conf`	Spectral Graph Pruning Against Over-Squashing and Over-Smoothing. NeurIPS Adarsh Jamadandi, Celia Rubio-Madrigal, Rebekka Burkholz
2024	J	`jnl`	Spectral Graph Pruning Against Over-Squashing and Over-Smoothing. CoRR Adarsh Jamadandi, Celia Rubio-Madrigal, Rebekka Burkholz
2023	A*	`conf`	Are GATs Out of Balance? NeurIPS Nimrah Mustafa, Aleksandar Bojchevski, Rebekka Burkholz
2023	J	`jnl`	Are GATs Out of Balance? CoRR Nimrah Mustafa, Aleksandar Bojchevski, Rebekka Burkholz
2023	J	`jnl`	Preserving local densities in low-dimensional embeddings. CoRR Jonas Fischer, Rebekka Burkholz, Jilles Vreeken
2023	A*	`conf`	Why Random Pruning Is All We Need to Start Sparse. ICML Advait Harshal Gadhikar, Sohom Mukherjee, Rebekka Burkholz
2022	A*	`conf`	Convolutional and Residual Networks Provably Contain Lottery Tickets. ICML Rebekka Burkholz
2022	J	`jnl`	Convolutional and Residual Networks Provably Contain Lottery Tickets. CoRR Rebekka Burkholz
2022	J	`jnl`	Dynamical Isometry for Residual Networks. CoRR Advait Gadhikar, Rebekka Burkholz
2022	J	`jnl`	GRAND: a database of gene regulatory network models across human conditions. Nucleic Acids Res. 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
2022	J	`jnl`	How Erdös and Rényi Win the Lottery. CoRR Advait Gadhikar, Sohom Mukherjee, Rebekka Burkholz
2022	A*	`conf`	Most Activation Functions Can Win the Lottery Without Excessive Depth. NeurIPS Rebekka Burkholz
2022	J	`jnl`	Most Activation Functions Can Win the Lottery Without Excessive Depth. CoRR Rebekka Burkholz
2022	A*	`conf`	On the Existence of Universal Lottery Tickets. ICLR Rebekka Burkholz, Nilanjana Laha, Rajarshi Mukherjee, Alkis Gotovos
2022	A*	`conf`	Plant 'n' Seek: Can You Find the Winning Ticket? ICLR Jonas Fischer, Rebekka Burkholz
2021	A*	`conf`	Cascade Size Distributions: Why They Matter and How to Compute Them Efficiently. AAAI Rebekka Burkholz, John Quackenbush
2021	A*	`conf`	Gene Regulatory Network Inference as Relaxed Graph Matching. AAAI Deborah A. Weighill, Marouen Ben Guebila, Camila Miranda Lopes-Ramos, Kimberly Glass, John Quackenbush, John Platig, Rebekka Burkholz
2021	J	`jnl`	On the Existence of Universal Lottery Tickets. CoRR Rebekka Burkholz, Nilanjana Laha, Rajarshi Mukherjee, Alkis Gotovos
2021	J	`jnl`	Plant 'n' Seek: Can You Find the Winning Ticket? CoRR Jonas Fischer, Rebekka Burkholz
2021	A*	`conf`	Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification. NeurIPS Alkis Gotovos, Rebekka Burkholz, John Quackenbush, Stefanie Jegelka
2021	J	`jnl`	Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification. CoRR Alkis Gotovos, Rebekka Burkholz, John Quackenbush, Stefanie Jegelka
2021	J	`jnl`	Towards strong pruning for lottery tickets with non-zero biases. CoRR Jonas Fischer, Rebekka Burkholz
2019	J	`jnl`	Cascade Size Distributions and Why They Matter. CoRR Rebekka Burkholz, John Quackenbush
2019	A*	`conf`	Initialization of ReLUs for Dynamical Isometry. NeurIPS Rebekka Burkholz, Alina Dubatovka
2019	J	`jnl`	On the performance of wireless powered communication networks over generalized κ-μ fading channels. Phys. Commun. Deepan Naorem, Rebekka Burkholz
2018	J	`jnl`	Exact information propagation through fully-connected feed forward neural networks. CoRR Rebekka Burkholz, Alina Dubatovka
2017	J	`jnl`	A framework for cascade size calculations on random networks. CoRR Rebekka Burkholz, Frank Schweitzer
2017	J	`jnl`	Modeling the formation of R\&D alliances: An agent-based model with empirical validation. CoRR Mario V. Tomasello, Rebekka Burkholz, Frank Schweitzer
2016	—	`—`	Systemic Risk: From Generic Models to Food Trade Networks. Rebekka Burkholz