Schlag, Imanol
- Solving Quantitative Reasoning Problems with Language Models
2022/06/29 by Aitor Lewkowycz, Lewkowycz, Aitor, Anders Andreassen +25 · 1 voice · 286 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CL #cs.LG
- A Modern Self-Referential Weight Matrix That Learns to Modify Itself
2022/02/11 by Kazuki Irie, Imanol Schlag, Irie, Kazuki +5 · 2 voices · 10 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning and ELM #Neural Networks and Applications #cs.LG
- Mindstorms in Natural Language-Based Societies of Mind
2023/05/26 by Mingchen Zhuge, Haozhe Liu, Zhuge, Mingchen +49 · 5 voices · 9 citations
Computer Science · Social Sciences · #Language and cultural evolution #Multimodal Machine Learning Applications #Topic Modeling #cs.AI #cs.CL #cs.CV #cs.LG #cs.MA
- Linear Transformers Are Secretly Fast Weight Programmers
2021/02/22 by Schlag, Imanol, Irie, Kazuki, Schmidhuber, Jürgen · 61 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge
2024/11/29 by Angelika Romanou, Romanou, Angelika, Negar Foroutan +120 · 8 voices · 23 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Text Readability and Simplification
- Block-Recurrent Transformers
2022/03/11 by DeLesley Hutchins, Imanol Schlag, Hutchins, DeLesley +7 · 10 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #Natural Language Processing Techniques #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
- Going Beyond Linear Transformers with Recurrent Fast Weight Programmers
2021/06/11 by Kazuki Irie, Irie, Kazuki, Imanol Schlag +5 · 8 citations
Computer Science · #Artificial Intelligence in Games #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics
- Learning Associative Inference Using Fast Weight Memory
2020/11/16 by Schlag, Imanol, Munkhdalai, Tsendsuren, Schmidhuber, Jürgen · 6 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
- Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
2025/09/17 by Project Apertus, Apertus, Project, Alejandro Hernández-Cano +203 · 4 voices · 9 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CL #cs.LG
- Learning to Reason with Third-Order Tensor Products
2018/11/29 by Imanol Schlag, Jürgen Schmidhuber, Schlag, Imanol +1 · 4 citations
Computer Science · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
- Can Performant LLMs Be Ethical? Quantifying the Impact of Web Crawling Opt-Outs
2025/04/08 by Dongyang Fan, Vinko Sabolčec, Fan, Dongyang +11 · 3 voices · 2 citations
Computer Science · Decision Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Research Data Management Practices #Scientific Computing and Data Management #Software Engineering Research
- Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving
2019/10/15 by Schlag, Imanol, Smolensky, Paul, Fernandez, Roland +3 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- The Role of Language Imbalance in Cross-lingual Generalisation: Insights from Cloned Language Experiments
2024/04/11 by Anton Schäfer, Shauli Ravfogel, Schäfer, Anton +7 · 2 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
- Towards Fully FP8 GEMM LLM Training at Scale
2025/05/26 by Hernández-Cano, Alejandro, Garbaya, Dhia, Schlag, Imanol +1 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute
2023/09/20 by Stanić, Aleksandar, Ashley, Dylan, Serikov, Oleg +5 · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Understanding and Minimising Outlier Features in Neural Network Training
2024/05/29 by Bobby He, He, Bobby, Lorenzo Noci +7 · 1 citation
Computer Science · #Neural Networks and Applications