Zimmer, Max
- PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs
2023/12/23 by Max Zimmer, Megi Andoni, Zimmer, Max +5 · 4 citations
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
- How I Learned to Stop Worrying and Love Retraining
2021/11/01 by Max Zimmer, Christoph Spiegel, Zimmer, Max +3 · 3 citations
Computer Science · Physics and Astronomy · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
- Deep Neural Network Training with Frank-Wolfe
2020/10/14 by Sebastian Pokutta, Christoph Spiegel, Pokutta, Sebastian +3 · 2 citations
Computer Science · #Stochastic Gradient Optimization Techniques #Neural Networks and Applications #Advanced Neural Network Applications
- Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging
2023/06/29 by Max Zimmer, Christoph Spiegel, Zimmer, Max +3 · 2 citations
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
- Capturing Temporal Dynamics in Large-Scale Canopy Tree Height Estimation
2025/01/31 by Pauls, Jan, Zimmer, Max, Turan, Berkant +4 · 3 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Estimating Canopy Height at Scale
2024/06/03 by Jan Pauls, Pauls, Jan, Max Zimmer +15 · 2 citations
Environmental Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Fire effects on ecosystems #Landslides and related hazards #Machine Learning (cs.LG) #Remote Sensing and LiDAR Applications
- Interpretability Guarantees with Merlin-Arthur Classifiers
2022/06/01 by Wäldchen, Stephan, Sharma, Kartikey, Turan, Berkant +2 · 1 citation
#68T01 #91A06 #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2.0 #Machine Learning (cs.LG)
- Compression-aware Training of Neural Networks using Frank-Wolfe
2022/05/24 by Max Zimmer, Christoph Spiegel, Zimmer, Max +3 · 2 citations
Computer Science · #Advanced Neural Network Applications #Neural Networks and Applications #Machine Learning and Data Classification
- Neural Discovery in Mathematics: Do Machines Dream of Colored Planes?
2025/01/30 by Mundinger, Konrad, Zimmer, Max, Kiem, Aldo +2 · 2 citations
#Combinatorics (math.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG)
- On the Byzantine-Resilience of Distillation-Based Federated Learning
2024/02/19 by Roux, Christophe, Zimmer, Max, Pokutta, Sebastian · 1 citation
#Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
- Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms
2025/05/29 by Hiroshi Kera, Kera, Hiroshi, Nico Pelleriti +7 · 2 citations
Computer Science · #Polynomial and algebraic computation #Cryptography and Residue Arithmetic #Numerical Methods and Algorithms