130 citations · 130 across the 2 of their papers we have counts for
5 papers
A Critical Audit of Spatiotemporal Forecasting Benchmark Datasets and Baselines
Kenneth Martin, Simon Heilig, Asja Fischer +3
Graph neural networks (GNNs) are routinely employed for short-range forecasting on multivariate time series with a spatial graph structure. Despite the availability of many alterna…
On the regularization of Wasserstein GANs
Henning Petzka, Asja Fischer, Denis Lukovnikov
Since their invention, generative adversarial networks (GANs) have become a popular approach for learning to model a distribution of real (unlabeled) data. Convergence problems dur…
DepthKV: Layer-Dependent KV Cache Pruning for Long-Context LLM Inference
Zahra Dehghanighobadi, Asja Fischer
Long-context reasoning is a critical capability of large language models (LLMs), enabling applications such as long-document understanding, summarization, and code generation. Howe…
DistriBlock: Identifying adversarial audio samples by leveraging characteristics of the output distribution
MatÃas Pizarro, Dorothea Kolossa, Asja Fischer
Adversarial attacks can mislead automatic speech recognition (ASR) systems into predicting an arbitrary target text, thus posing a clear security threat. To prevent such attacks, w…
Robustifying automatic speech recognition by extracting slowly varying features
MatÃas Pizarro, Dorothea Kolossa, Asja Fischer
In the past few years, it has been shown that deep learning systems are highly vulnerable under attacks with adversarial examples. Neural-network-based automatic speech recognition…