Siems, Julien

1. Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues
   2024/11/19 by Riccardo Grazzi, Grazzi, Riccardo, Julien Siems +9 · 3 voices · 15 citations
   Engineering · Computer Science · #cs.LG #cs.CL #cs.FL
2. Is Mamba Capable of In-Context Learning?
   2024/02/05 by Riccardo Grazzi, Julien Siems, Grazzi, Riccardo +7 · 1 voice · 6 citations
   Computer Science · Social Sciences · #Education and Technology Integration #cs.LG
3. DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products
   2025/02/14 by Siems, Julien, Carstensen, Timur, Zela, Arber +3 · 16 citations
   #Computation and Language (cs.CL) #FOS: Computer and information sciences #Formal Languages and Automata Theory (cs.FL) #Machine Learning (cs.LG)
4. Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks
   2020/08/22 by Arber Zela, Zela, Arber, Julien Siems +9 · 4 citations
   Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
5. Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models
   2023/05/19 by Julien Siems, Konstantin Ditschuneit, Siems, Julien +11 · 4 citations
   Computer Science · #Neural Networks and Applications #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification
6. Mamba4Cast: Efficient Zero-Shot Time Series Forecasting with State Space Models
   2024/10/12 by Sathya Kamesh Bhethanabhotla, Bhethanabhotla, Sathya Kamesh, Omar Swelam +7 · 4 citations
   Computer Science · Decision Sciences · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
7. Interpretable Reinforcement Learning via Neural Additive Models for Inventory Management
   2023/03/18 by Siems, Julien, Schambach, Maximilian, Schulze, Sebastian +1 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA)
8. TempoPFN: Synthetic Pre-training of Linear RNNs for Zero-shot Time Series Forecasting
   2025/10/29 by Moroshan, Vladyslav, Siems, Julien, Zela, Arber +2 · 2 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)