Mlodozeniec, Bruno
- Ensemble Distribution Distillation
2019/04/30 by Andrey Malinin, Malinin, Andrey, Bruno Mlodozeniec +3 · 14 citations
Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics
2023/02/02 by Leon Klein, Klein, Leon, Andrew Y. K. Foong +13 · 13 citations
Biochemistry, Genetics and Molecular Biology · Chemistry · Materials Science · #Chemical Physics (physics.chem-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Mass Spectrometry Techniques and Applications #Protein Structure and Dynamics #Statistical Mechanics (cond-mat.stat-mech)
- Implicit meta-learning may lead language models to trust more reliable sources
2023/10/23 by Dmitrii Krasheninnikov, Krasheninnikov, Dmitrii, Egor Krasheninnikov +7 · 2 voices · 3 citations
Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #Topic Modeling #cs.AI #cs.LG
- Influence Functions for Scalable Data Attribution in Diffusion Models
2024/10/17 by Bruno Mlodozeniec, Runa Eschenhagen, Mlodozeniec, Bruno +9 · 8 citations
Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Opinion Dynamics and Social Influence
- Denoising Diffusion Probabilistic Models in Six Simple Steps
2024/02/06 by Richard E. Turner, Turner, Richard E., Cristiana-Diana Diaconu +9 · 1 voice · 3 citations
Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML
- Hyperparameter Optimization through Neural Network Partitioning
2023/04/28 by Mlodozeniec, Bruno, Reisser, Matthias, Louizos, Christos · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Distributional Training Data Attribution: What do Influence Functions Sample?
2025/06/15 by Mlodozeniec, Bruno, Reid, Isaac, Power, Sam +4 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes
2024/05/28 by Jihao Andreas Lin, Shreyas Padhy, Lin, Jihao Andreas +7 · 2 citations
Computer Science · #Gaussian Processes and Bayesian Inference #Machine Learning and Data Classification
- Warm Start Marginal Likelihood Optimisation for Iterative Gaussian Processes
2024/05/28 by Lin, Jihao Andreas, Padhy, Shreyas, Mlodozeniec, Bruno +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)