Awesome Large Language Models
Papers
Topics
Trending
Leaderboards
Authors
Datasets
Learn
Ask AI
Map
Tools
Reading Packs
News
All sections
Browse
Papers
The full index, filterable and sortable.
Topics
The same papers grouped by subject tag.
Trending
What moved this week, and by how much.
Authors
Who publishes here, and who they publish with.
Map
The collection laid out by embedding similarity.
Compare
Leaderboards
Benchmark tables, with the paper behind each number.
Datasets
The datasets these papers train and evaluate on.
Tools
Code and libraries released alongside the papers.
Read
Learn
Ordered routes from background reading to current work.
Ask AI
Ask a question and get answers cited to these papers.
Videos
The most-watched talks and lectures in this field.
Reading Packs
Short curated sets built around one question.
Follow
News
Press and coverage tied back to the papers.
Blogs
Author and lab write-ups of their own work.
Newsletter
Email digest of what changed, on a schedule.
Research Radar
Paste an abstract, get matches across every collection.
Yours
Saved
Papers you bookmarked in this browser.
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
Ask AI
Karl H. Johansson — most-cited papers & profile · Large Language Models
← authors
·
overview
Karl H. Johansson
38
papers ·
42
citations ·
0
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Safe Reinforcement Learning Using Black-Box Reachability Analysis
2022 · 28 citations
Computing Complexity-aware Plans Using Kolmogorov Complexity
2021 · 4 citations
Safe Reinforcement Learning using Data-Driven Predictive Control
2022 · 4 citations
A survey on secure decentralized optimization and learning
2024 · 2 citations
What is the Expected Transient Behavior of Opinion Evolution for Two Communities?
2023 · 1 citations
Robust Online Learning over Networks
2023 · 1 citations
Robust Online Learning over Networks
2023 · 1 citations
Enhancing Privacy in Federated Learning through Local Training
2024 · 1 citations
Advantage-Guided Diffusion for Model-Based Reinforcement Learning
2026
Shared Situational Awareness Using Hybrid Zonotopes with Confidence Metric
2025
Wasserstein Distributionally Robust Nash Equilibrium Seeking with Heterogeneous Data: A Lagrangian Approach
2025
Communication-Efficient Learning for Satellite Constellations
2025
Jointly Computation- and Communication-Efficient Distributed Learning
2025
Jointly Computation- and Communication-Efficient Distributed Learning
2025
Beyond Line-of-Sight: Cooperative Localization Using Vision and V2X Communication
2025
Top co-authors
Matthieu Barreau
· 1
Miguel Aguiar
· 1
Yulun Wu
· 1
Topics
eess.SY
cs.SY
cs.LG
cs.RO
math.OC
Federated Learning
Optimization
cs.SI
cs.MA
Privacy