Rebekka Burkholz

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 34

Top Topics

Laplace Beltrami

Activation Function

Feed Forward Neural Networks

Avoid Overfitting

Top Venues

Publications

Ping-Han Hsieh, Ru-Xiu Hsiao, Katalin Ferenc, Anthony Mathelier, Rebekka Burkholz, Chien-Yu Chen, Geir Kjetil Sandve, Tatiana Belova, Marieke L. Kuijjer
CAVACHON: a hierarchical variational autoencoder to integrate multi-modal single-cell data. CoRR (2024)
Advait Gadhikar, Sree Harsha Nelaturu, Rebekka Burkholz
Cyclic Sparse Training: Is it Enough? CoRR (2024)
Advait Harshal Gadhikar, Rebekka Burkholz
Masks, Signs, And Learning Rate Rewinding. ICLR (2024)
Adarsh Jamadandi, Celia Rubio-Madrigal, Rebekka Burkholz
Spectral Graph Pruning Against Over-Squashing and Over-Smoothing. CoRR (2024)
Rebekka Burkholz
Batch normalization is sufficient for universal function approximation in CNNs. ICLR (2024)
Intekhab Hossain, Jonas Fischer, Rebekka Burkholz, John Quackenbush
Not all tickets are equal and we know it: Guiding pruning with domain-specific knowledge. CoRR (2024)
Advait Gadhikar, Rebekka Burkholz
Masks, Signs, And Learning Rate Rewinding. CoRR (2024)
Nimrah Mustafa, Rebekka Burkholz
GATE: How to Keep Out Intrusive Neighbors. CoRR (2024)
Jonas Fischer, Rebekka Burkholz, Jilles Vreeken
Preserving local densities in low-dimensional embeddings. CoRR (2023)
Advait Harshal Gadhikar, Sohom Mukherjee, Rebekka Burkholz
Why Random Pruning Is All We Need to Start Sparse. ICML (2023)
Nimrah Mustafa, Aleksandar Bojchevski, Rebekka Burkholz
Are GATs Out of Balance? CoRR (2023)
Nimrah Mustafa, Aleksandar Bojchevski, Rebekka Burkholz
Are GATs Out of Balance? NeurIPS (2023)
Advait Gadhikar, Sohum Mukherjee, Rebekka Burkholz
How Erdös and Rényi Win the Lottery. CoRR (2022)
Rebekka Burkholz
Most Activation Functions Can Win the Lottery Without Excessive Depth. NeurIPS (2022)
Jonas Fischer, Rebekka Burkholz
Plant 'n' Seek: Can You Find the Winning Ticket? ICLR (2022)
Rebekka Burkholz
Convolutional and Residual Networks Provably Contain Lottery Tickets. ICML (2022)
Rebekka Burkholz, Nilanjana Laha, Rajarshi Mukherjee, Alkis Gotovos
On the Existence of Universal Lottery Tickets. ICLR (2022)
Rebekka Burkholz
Convolutional and Residual Networks Provably Contain Lottery Tickets. CoRR (2022)
Marouen Ben Guebila, Camila M. Lopes-Ramos, Deborah Weighill, Abhijeet Rajendra Sonawane, Rebekka Burkholz, Behrouz Shamsaei, John Platig, Kimberly Glass, Marieke L. Kuijjer, John Quackenbush
GRAND: a database of gene regulatory network models across human conditions. Nucleic Acids Res. 50 (D1) (2022)
Rebekka Burkholz
Most Activation Functions Can Win the Lottery Without Excessive Depth. CoRR (2022)
Advait Gadhikar, Rebekka Burkholz
Dynamical Isometry for Residual Networks. CoRR (2022)
Jonas Fischer, Rebekka Burkholz
Plant 'n' Seek: Can You Find the Winning Ticket? CoRR (2021)
Alkis Gotovos, Rebekka Burkholz, John Quackenbush, Stefanie Jegelka
Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification. CoRR (2021)
Rebekka Burkholz, Nilanjana Laha, Rajarshi Mukherjee, Alkis Gotovos
On the Existence of Universal Lottery Tickets. CoRR (2021)
Alkis Gotovos, Rebekka Burkholz, John Quackenbush, Stefanie Jegelka
Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification. NeurIPS (2021)
Rebekka Burkholz, John Quackenbush
Cascade Size Distributions: Why They Matter and How to Compute Them Efficiently. AAAI (2021)
Jonas Fischer, Rebekka Burkholz
Towards strong pruning for lottery tickets with non-zero biases. CoRR (2021)
Deborah Weighill, Marouen Ben Guebila, Camila M. Lopes-Ramos, Kimberly Glass, John Quackenbush, John Platig, Rebekka Burkholz
Gene Regulatory Network Inference as Relaxed Graph Matching. AAAI (2021)
Rebekka Burkholz, John Quackenbush
Cascade Size Distributions and Why They Matter. CoRR (2019)
Deepan Naorem, Rebekka Burkholz
On the performance of wireless powered communication networks over generalized κ-μ fading channels. Phys. Commun. 36 (2019)
Rebekka Burkholz, Alina Dubatovka
Initialization of ReLUs for Dynamical Isometry. NeurIPS (2019)
Rebekka Burkholz, Alina Dubatovka
Exact information propagation through fully-connected feed forward neural networks. CoRR (2018)
Rebekka Burkholz, Frank Schweitzer
A framework for cascade size calculations on random networks. CoRR (2017)
Mario V. Tomasello, Rebekka Burkholz, Frank Schweitzer
Modeling the formation of R\&D alliances: An agent-based model with empirical validation. CoRR (2017)