Hobbhahn, Marius

1. AI and the End of an Era
   2024/12/06 by Alexander Meinke, Bronson Schoen, Meinke, Alexander +9 · 45 voices · 95 citations
   Decision Sciences · #Simulation Techniques and Applications #cs.AI #cs.LG
2. Large Language Models can Strategically Deceive their Users when Put Under Pressure
   2023/11/09 by Jérémy Scheurer, Mikita Balesni, Scheurer, Jérémy +3 · 17 voices · 38 citations
   Decision Sciences · Computer Science · #Stock Market Forecasting Methods #Topic Modeling
3. Will we run out of data? Limits of LLM scaling based on human-generated data
   2022/10/26 by Pablo Villalobos, Anson Ho, Villalobos, Pablo +9 · 14 voices · 63 citations
   Computer Science · #Topic Modeling
4. Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety
   2025/07/15 by Tomek Korbak, Korbak, Tomek, Mikita Balesni +81 · 25 voices · 71 citations
   Computer Science · #Anomaly Detection Techniques and Applications #cs.AI #cs.LG #stat.ML
5. Large Language Models Often Know When They Are Being Evaluated
   2025/05/28 by Joe Needham, Giles Edkins, Needham, Joe +7 · 21 voices · 31 citations
   Computer Science · Social Sciences · #Explainable Artificial Intelligence (XAI) #Ethics and Social Impacts of AI #Multimodal Machine Learning Applications
6. Base-Axiom Initialization for Deliberative Alignment - A qualitative approach to Stress Testing Deliberative Alignment for Anti Scheming Training -
   2025/09/19 by Bronson Schoen, Schoen, Bronson, Evgenia Nitishinskaya +37 · 10 voices · 13 citations
   Computer Science · Engineering · #Software Engineering Techniques and Practices #Systems Engineering Methodologies and Applications #Teaching and Learning Programming #cs.AI
7. Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs
   2024/07/05 by Rudolf Laine, Laine, Rudolf, Bilal Chughtai +15 · 19 citations
   Business, Management and Accounting · Health Professions · Social Sciences · #Artificial Intelligence (cs.AI) #Big Data and Business Intelligence #Computation and Language (cs.CL) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Occupational Health and Safety Research
8. Detecting Strategic Deception Using Linear Probes
   2025/02/05 by Nicholas Goldowsky-Dill, Bilal Chughtai, Goldowsky-Dill, Nicholas +5 · 26 citations
   Computer Science · Psychology · #Advanced Malware Detection Techniques #Deception detection and forensic psychology #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection
9. Machine Learning Model Sizes and the Parameter Gap
   2022/07/05 by Pablo Villalobos, Jaime Sevilla, Villalobos, Pablo +9 · 5 citations
   Computer Science · #Topic Modeling #Explainable Artificial Intelligence (XAI)
10. Fast Predictive Uncertainty for Classification with Bayesian Deep\n Networks
    2020/03/02 by Marius Hobbhahn, Hobbhahn, Marius, Agustinus Kristiadi +3 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
11. Towards evaluations-based safety cases for AI scheming
    2024/10/29 by Mikita Balesni, Marius Hobbhahn, Balesni, Mikita +29 · 8 citations
    Engineering · Health Professions · Decision Sciences · #Safety Systems Engineering in Autonomy #Occupational Health and Safety Research #Risk and Safety Analysis
12. AI Behind Closed Doors: a Primer on The Governance of Internal Deployment
    2025/04/16 by Charlotte Stix, Stix, Charlotte, Matteo Pistillo +15 · 6 citations
    Computer Science · Social Sciences · #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Innovation, Sustainability, Human-Machine Systems #Law, AI, and Intellectual Property
13. The Local Interaction Basis: Identifying Computationally-Relevant and Sparsely Interacting Features in Neural Networks
    2024/05/17 by Lucius Bushnaq, Bushnaq, Lucius, Stefan Heimersheim +17 · 2 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
14. Laplace Matching for fast Approximate Inference in Latent Gaussian Models
    2021/05/07 by Marius Hobbhahn, Philipp Hennig, Hobbhahn, Marius +1 · 1 citation
    Computer Science · #68T37 #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #G.3 #Gaussian Processes and Bayesian Inference #I.2.0 #Machine Learning (cs.LG) #Machine Learning (stat.ML)
15. Using Degeneracy in the Loss Landscape for Mechanistic Interpretability
    2024/05/17 by Lucius Bushnaq, Jake Mendel, Bushnaq, Lucius +13 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Statistical and Computational Modeling
16. Flexible inference in heterogeneous and attributed multilayer networks
    2024/05/31 by Contisciani, Martina, Hobbhahn, Marius, Power, Eleanor A. +2 · 1 citation
    #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (stat.ML) #Social and Information Networks (cs.SI) #Statistics and Probability (physics.data-an)