Imanol Schlag
13 papers · 2018–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (31) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
👥
Mega-Team · Civilization
👑
Triple Crown
🧬
Topic Evolution
💎
Century Club · Bronze
🗃️
Keyword Collector
(64)
🌈
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Artificial Intelligence
(8)
Machine Learning
(8)
Deep Learning
(6)
Natural Language Processing
(6)
Core AI
(6)
Architectures
(5)
Core Methods
(4)
Optimization & Theory · Machine Learning
(4)
Resources & Methods
(4)
Reinforcement Learning
(2)
Applications
(2)
Generation
(2)
Learning Paradigms
(2)
Optimization & Theory · Deep Learning
(2)
Computer Science
(1)
Keywords
language model
(3)
recurrent neural network
(3)
large language model
(2)
neural network optimization
(2)
fast weight programmer
(2)
language modeling
(2)
multilingual language model
(2)
benchmark evaluation
(1)
reinforcement learning
(1)
model quantization
(1)
attention mechanism
(1)
question answering
(1)
mathematical reasoning
(1)
text representation
(1)
symbolic reasoning
(1)
sequence modeling
(1)
associative memory
(1)
state representation
(1)
self-attention mechanism
(1)
efficient computing
(1)
Papers
Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
ACL 2026
OpenTela: Unifying Decentralized Computing Resources for Heterogeneous LLM Serving (Operational Systems)
OSDI 2026
INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge
ICLR 2025
Navigating Scaling Laws: Compute Optimality in Adaptive Model Training
ICML 2024
On the Effect of (Near) Duplicate Subwords in Language Modelling
ACL 2024
Understanding and Minimising Outlier Features in Transformer Training
NeurIPS 2024
A Modern Self-Referential Weight Matrix That Learns to Modify Itself
ICML 2022
Block-Recurrent Transformers
NeurIPS 2022
Solving Quantitative Reasoning Problems with Language Models
NeurIPS 2022
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers
NeurIPS 2021
Learning Associative Inference Using Fast Weight Memory
ICLR 2021
Linear Transformers Are Secretly Fast Weight Programmers
ICML 2021
Learning to Reason with Third Order Tensor Products
NeurIPS 2018