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20232026
most citedMultiscale Neural Operators for Solving Time-Independent PDEs

2 citations · 2 across the 7 of their papers we have counts for

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cs.LG2026

RevengeBench: Reverse Engineering Code-Space Policies from Behavioral Experiments

Babak Rahmani, Sebastian Dziadzio, Joschka Strüber +2

For most of scientific history, researchers studying behavior could only infer hidden mechanisms from outward actions: an inverse problem that becomes more tractable when observati…

cs.LG2024

How to Merge Your Multimodal Models Over Time?

Sebastian Dziadzio, Vishaal Udandarao, Karsten Roth +4

Model merging combines multiple expert models - finetuned from a base foundation model on diverse tasks and domains - into a single, more capable model. However, most existing mode…

cs.LG2024

ONEBench to Test Them All: Sample-Level Benchmarking Over Open-Ended Capabilities

Adhiraj Ghosh, Sebastian Dziadzio, Ameya Prabhu +3

Traditional fixed test sets fall short in evaluating open-ended capabilities of foundation models. To address this, we propose ONEBench(OpeN-Ended Benchmarking), a new testing para…

cs.LG2023

Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization

Sebastian Dziadzio, Çağatay Yıldız, Gido M. van de Ven +3

The ability of machine learning systems to learn continually is hindered by catastrophic forgetting, the tendency of neural networks to overwrite previously acquired knowledge when…

cs.LG2023★ 2 cited

Multiscale Neural Operators for Solving Time-Independent PDEs

Winfried Ripken, Lisa Coiffard, Felix Pieper +1

Time-independent Partial Differential Equations (PDEs) on large meshes pose significant challenges for data-driven neural PDE solvers. We introduce a novel graph rewiring technique…