Siems, Julien

11 publications

NeurIPS 2025 DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products Julien Siems, Timur Carstensen, Arber Zela, Frank Hutter, Massimiliano Pontil, Riccardo Grazzi

ICLRW 2025 DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products Julien Siems, Timur Carstensen, Arber Zela, Frank Hutter, Massimiliano Pontil, Riccardo Grazzi

ICLR 2025 Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues Riccardo Grazzi, Julien Siems, Arber Zela, Jörg K.H. Franke, Frank Hutter, Massimiliano Pontil

NeurIPSW 2024 GAMformer: Exploring In-Context Learning for Generalized Additive Models Andreas C Mueller, Julien Siems, Harsha Nori, Rich Caruana, Frank Hutter

NeurIPSW 2024 GAMformer: Exploring In-Context Learning for Generalized Additive Models Andreas C Mueller, Julien Siems, Harsha Nori, David Salinas, Arber Zela, Rich Caruana, Frank Hutter

NeurIPSW 2024 Mamba4Cast: Efficient Zero-Shot Time Series Forecasting with State Space Models Sathya Kamesh Bhethanabhotla, Omar Swelam, Julien Siems, David Salinas, Frank Hutter

NeurIPSW 2024 Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues Riccardo Grazzi, Julien Siems, Jörg K.H. Franke, Arber Zela, Frank Hutter, Massimiliano Pontil

AAAI 2023 Bayesian Optimization-Based Combinatorial Assignment Jakob Weissteiner, Jakob Heiss, Julien Siems, Sven Seuken

NeurIPS 2023 Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models Julien Siems, Konstantin Ditschuneit, Winfried Ripken, Alma Lindborg, Maximilian Schambach, Johannes Otterbach, Martin Genzel

IJCAI 2022 Monotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment Jakob Weissteiner, Jakob Heiss, Julien Siems, Sven Seuken

ICLR 2020 NAS-Bench-1Shot1: Benchmarking and Dissecting One-Shot Neural Architecture Search Arber Zela, Julien Siems, Frank Hutter