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Lukas Balles

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A Negative Result on Gradient Matching for Selective Backprop

Dec 08, 2023
Lukas Balles, Cedric Archambeau, Giovanni Zappella

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Continual Learning with Low Rank Adaptation

Nov 29, 2023
Martin Wistuba, Prabhu Teja Sivaprasad, Lukas Balles, Giovanni Zappella

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Renate: A Library for Real-World Continual Learning

Apr 24, 2023
Martin Wistuba, Martin Ferianc, Lukas Balles, Cedric Archambeau, Giovanni Zappella

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PASHA: Efficient HPO with Progressive Resource Allocation

Jul 14, 2022
Ondrej Bohdal, Lukas Balles, Beyza Ermis, Cédric Archambeau, Giovanni Zappella

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Gradient-Matching Coresets for Rehearsal-Based Continual Learning

Mar 28, 2022
Lukas Balles, Giovanni Zappella, Cédric Archambeau

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Gradient-matching coresets for continual learning

Dec 09, 2021
Lukas Balles, Giovanni Zappella, Cédric Archambeau

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Self-Tuning Stochastic Optimization with Curvature-Aware Gradient Filtering

Nov 09, 2020
Ricky T. Q. Chen, Dami Choi, Lukas Balles, David Duvenaud, Philipp Hennig

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The Geometry of Sign Gradient Descent

Feb 19, 2020
Lukas Balles, Fabian Pedregosa, Nicolas Le Roux

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Limitations of the Empirical Fisher Approximation

May 29, 2019
Frederik Kunstner, Lukas Balles, Philipp Hennig

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DeepOBS: A Deep Learning Optimizer Benchmark Suite

Mar 13, 2019
Frank Schneider, Lukas Balles, Philipp Hennig

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