Engineering a Sorted List Data Structure for 32 Bit Key. - Roman Dementiev; Lutz Kettner; Jens Mehnert; Peter Sanders 001 (ALENEX/ANALC, 2004)

Automatic recognition of German news focusing on future-directed beliefs and intentions. - Judith Eckle-Kohler; Michael Kohler; Jens Mehnert (Comput. Speech Lang., 2008)

Better external memory suffix array construction. - Roman Dementiev; Juha Kärkkäinen; Jens Mehnert; Peter Sanders 001 (ACM J. Exp. Algorithmics, 2008)

Evaluation of different approaches for road course estimation using imaging radar. - Frederik Sarholz; Jens Mehnert; Jens Klappstein; Jürgen Dickmann; Bernd Radig (IROS, 2011)

Analysis of the rate of convergence of least squares neural network regression estimates in case of measurement errors. - Michael Kohler; Jens Mehnert (Neural Networks, 2011)

FreezeNet: Full Performance by Reduced Storage Costs. - Paul Wimmer; Jens Mehnert; Alexandru Condurache (ACCV (6), 2020)

COPS: Controlled Pruning Before Training Starts. - Paul Wimmer; Jens Mehnert; Alexandru Condurache (IJCNN, 2021)

Interspace Pruning: Using Adaptive Filter Representations to Improve Training of Sparse CNNs. - Paul Wimmer; Jens Mehnert; Alexandru Condurache (CVPR, 2022)

Weight Compander: A Simple Weight Reparameterization for Regularization. - Rinor Cakaj; Jens Mehnert; Bin Yang 009 (IJCNN, 2023)

Spectral Batch Normalization: Normalization in the Frequency Domain. - Rinor Cakaj; Jens Mehnert; Bin Yang 009 (IJCNN, 2023)

Instant Complexity Reduction in CNNs using Locality-Sensitive Hashing. - Lukas Meiner; Jens Mehnert; Alexandru Paul Condurache (CoRR, 2023)

Dimensionality reduced training by pruning and freezing parts of a deep neural network: a survey. - Paul Wimmer; Jens Mehnert; Alexandru Paul Condurache (Artif. Intell. Rev., 2023)

CNN Mixture-of-Depths. - Rinor Cakaj; Jens Mehnert; Bin Yang 009 (ACCV (7), 2024)

Squeeze-and-Remember Block. - Rinor Cakaj; Jens Mehnert; Bin Yang 009 (ICMLA, 2024)

Spectral Wavelet Dropout: Regularization in the Wavelet Domain. - Rinor Cakaj; Jens Mehnert; Bin Yang 009 (ICMLA, 2024)

Efficient Data Driven Mixture-of-Expert Extraction from Trained Networks. - Uranik Berisha; Jens Mehnert; Alexandru Paul Condurache (CVPR, 2025)

Data-Free Dynamic Compression of CNNs for Tractable Efficiency. - Lukas Meiner; Jens Mehnert; Alexandru Paul Condurache (VISIGRAPP (2): VISAPP, 2025)

PROM: Prioritize Reduction of Multiplications Over Lower Bit-Widths for Efficient CNNs. - Lukas Meiner; Jens Mehnert; Alexandru Paul Condurache (CoRR, 2025)

Variance-Based Pruning for Accelerating and Compressing Trained Networks. - Uranik Berisha; Jens Mehnert; Alexandru Paul Condurache (CoRR, 2025)