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ORCIDRebekka Burkholz
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2020 – today
- 2024
[c13]Rebekka Burkholz:
Batch normalization is sufficient for universal function approximation in CNNs. ICLR 2024- [c12]Advait Harshal Gadhikar, Rebekka Burkholz:
Masks, Signs, And Learning Rate Rewinding. ICLR 2024 - [c11]Nimrah Mustafa, Rebekka Burkholz:
GATE: How to Keep Out Intrusive Neighbors. ICML 2024 - [i21]Advait Gadhikar, Rebekka Burkholz:
Masks, Signs, And Learning Rate Rewinding. CoRR abs/2402.19262 (2024) - [i20]Intekhab Hossain, Jonas Fischer, Rebekka Burkholz, John Quackenbush:
Not all tickets are equal and we know it: Guiding pruning with domain-specific knowledge. CoRR abs/2403.04805 (2024) - [i19]Adarsh Jamadandi, Celia Rubio-Madrigal, Rebekka Burkholz:
Spectral Graph Pruning Against Over-Squashing and Over-Smoothing. CoRR abs/2404.04612 (2024) - [i18]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 abs/2405.18655 (2024) - [i17]Nimrah Mustafa, Rebekka Burkholz:
GATE: How to Keep Out Intrusive Neighbors. CoRR abs/2406.00418 (2024) - [i16]Advait Gadhikar, Sree Harsha Nelaturu, Rebekka Burkholz:
Cyclic Sparse Training: Is it Enough? CoRR abs/2406.02773 (2024) - [i15]Tom Jacobs, Rebekka Burkholz:
Mask in the Mirror: Implicit Sparsification. CoRR abs/2408.09966 (2024) - 2023
- [c10]Advait Harshal Gadhikar, Sohom Mukherjee, Rebekka Burkholz:
Why Random Pruning Is All We Need to Start Sparse. ICML 2023: 10542-10570 - [c9]Nimrah Mustafa, Aleksandar Bojchevski, Rebekka Burkholz:
Are GATs Out of Balance? NeurIPS 2023 - [i14]Jonas Fischer, Rebekka Burkholz, Jilles Vreeken
:
Preserving local densities in low-dimensional embeddings. CoRR abs/2301.13732 (2023) - [i13]Nimrah Mustafa, Aleksandar Bojchevski, Rebekka Burkholz:
Are GATs Out of Balance? CoRR abs/2310.07235 (2023) - 2022
- [j2]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:
GRAND: a database of gene regulatory network models across human conditions. Nucleic Acids Res. 50(D1): 610-621 (2022) - [c8]Rebekka Burkholz, Nilanjana Laha, Rajarshi Mukherjee, Alkis Gotovos:
On the Existence of Universal Lottery Tickets. ICLR 2022 - [c7]Jonas Fischer, Rebekka Burkholz:
Plant 'n' Seek: Can You Find the Winning Ticket? ICLR 2022 - [c6]Rebekka Burkholz:
Convolutional and Residual Networks Provably Contain Lottery Tickets. ICML 2022: 2414-2433 - [c5]Rebekka Burkholz:
Most Activation Functions Can Win the Lottery Without Excessive Depth. NeurIPS 2022 - [i12]Rebekka Burkholz:
Most Activation Functions Can Win the Lottery Without Excessive Depth. CoRR abs/2205.02321 (2022) - [i11]Rebekka Burkholz:
Convolutional and Residual Networks Provably Contain Lottery Tickets. CoRR abs/2205.02343 (2022) - [i10]Advait Gadhikar, Rebekka Burkholz:
Dynamical Isometry for Residual Networks. CoRR abs/2210.02411 (2022) - [i9]Advait Gadhikar, Sohom Mukherjee, Rebekka Burkholz:
How Erdös and Rényi Win the Lottery. CoRR abs/2210.02412 (2022) - 2021
- [c4]Rebekka Burkholz, John Quackenbush:
Cascade Size Distributions: Why They Matter and How to Compute Them Efficiently. AAAI 2021: 6840-6849 - [c3]Deborah A. Weighill, Marouen Ben Guebila, Camila Miranda Lopes-Ramos, Kimberly Glass, John Quackenbush, John Platig, Rebekka Burkholz:
Gene Regulatory Network Inference as Relaxed Graph Matching. AAAI 2021: 10263-10272 - [c2]Alkis Gotovos, Rebekka Burkholz, John Quackenbush, Stefanie Jegelka:
Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification. NeurIPS 2021: 14580-14592 - [i8]Alkis Gotovos, Rebekka Burkholz, John Quackenbush, Stefanie Jegelka:
Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification. CoRR abs/2107.02911 (2021) - [i7]Jonas Fischer, Rebekka Burkholz:
Towards strong pruning for lottery tickets with non-zero biases. CoRR abs/2110.11150 (2021) - [i6]Rebekka Burkholz, Nilanjana Laha, Rajarshi Mukherjee, Alkis Gotovos:
On the Existence of Universal Lottery Tickets. CoRR abs/2111.11146 (2021) - [i5]Jonas Fischer, Rebekka Burkholz:
Plant 'n' Seek: Can You Find the Winning Ticket? CoRR abs/2111.11153 (2021)
2010 – 2019
- 2019
- [j1]Deepan Naorem, Rebekka Burkholz:
On the performance of wireless powered communication networks over generalized κ-μ fading channels. Phys. Commun. 36 (2019) - [c1]Rebekka Burkholz, Alina Dubatovka:
Initialization of ReLUs for Dynamical Isometry. NeurIPS 2019: 2382-2392 - [i4]Rebekka Burkholz, John Quackenbush:
Cascade Size Distributions and Why They Matter. CoRR abs/1909.05416 (2019) - 2018
- [i3]Rebekka Burkholz, Alina Dubatovka:
Exact information propagation through fully-connected feed forward neural networks. CoRR abs/1806.06362 (2018) - 2017
- [i2]Rebekka Burkholz, Frank Schweitzer:
A framework for cascade size calculations on random networks. CoRR abs/1701.06970 (2017) - [i1]Mario V. Tomasello, Rebekka Burkholz, Frank Schweitzer:
Modeling the formation of R\&D alliances: An agent-based model with empirical validation. CoRR abs/1712.01755 (2017) - 2016
- [b1]Rebekka Burkholz:
Systemic Risk: From Generic Models to Food Trade Networks. ETH Zurich, Zürich, Switzerland, 2016
Coauthor Index
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last updated on 2024-09-26 01:58 CEST by the dblp team
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