Sebastian Pokutta
- Conditional Gradient Methods
2022/11/25 by Gábor Braun, Braun, Gábor, Alejandro Carderera +11 · 16 citations
Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Machine Learning and ELM
- The Machine Learning for Combinatorial Optimization Competition (ML4CO):\n Results and Insights
2022/03/04 by Maxime Gasse, Quentin Cappart, Gasse, Maxime +81 · 10 citations
Engineering · #Optimization and Packing Problems #Vehicle Routing Optimization Methods #Maritime Ports and Logistics
- Lazifying Conditional Gradient Algorithms
2016/10/17 by Gábor Braun, Sebastian Pokutta, Braun, Gábor +3 · 4 citations
Engineering · Computer Science · Decision Sciences · #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Advanced Bandit Algorithms Research
- Learning to Schedule Heuristics in Branch-and-Bound
2021/01/01 by Antonia Chmiela, Elias B. Khalil, Chmiela, Antonia +7 · 4 citations
Computer Science · Engineering · #Advanced Multi-Objective Optimization Algorithms #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Metaheuristic Optimization Algorithms Research #Optimization and Control (math.OC) #Scheduling and Optimization Algorithms
- Reinforcement Learning under Model Mismatch
2017/06/15 by Aurko Roy, Roy, Aurko, Huan Xu +3 · 3 citations
Computer Science · Decision Sciences · #Adaptive Dynamic Programming Control #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- Revisiting the Approximate Carath 'eodory Problem via the Frank-Wolfe\n Algorithm
2019/11/11 by Cyrille W. Combettes, Sebastian Pokutta, Combettes, Cyrille W. +1 · 3 citations
Computer Science · Engineering · Mathematics · #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and Algorithms #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques
- Boscia.jl
2022/08/23 by Hannah Troppens, Hendrych, Deborah, Troppens, Hannah +4 · 6 citations
Engineering · Mathematics · #Advanced Optical Network Technologies #Advanced Optimization Algorithms Research #Computation (stat.CO) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Photonic and Optical Devices
- 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
- Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties
2022/11/26 by David Martínez-Rubio, Sebastian Pokutta, Martínez-Rubio, David +1 · 2 citations
Engineering · Mathematics · #3D Shape Modeling and Analysis #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Morphological variations and asymmetry #Optimization and Control (math.OC)
- 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
- GSE: Group-wise Sparse and Explainable Adversarial Attacks
2023/11/29 by S. Sadiku, Sadiku, Shpresim, Moritz Wagner +3 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning
- 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
- Walking in the Shadow: A New Perspective on Descent Directions for Constrained Minimization
2020/06/15 by Hassan Mortagy, Swati Gupta, Mortagy, Hassan +3 · 1 citation
Computer Science · Engineering · Medicine · #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Parameter-free Locally Accelerated Conditional Gradients
2021/02/12 by Alejandro Carderera, Jelena Diakonikolas, Carderera, Alejandro +5 · 1 citation
Engineering · Mathematics · Computer Science · #Sparse and Compressive Sensing Techniques #Advanced Optimization Algorithms Research #Stochastic Gradient Optimization Techniques
- Scalable Frank-Wolfe on Generalized Self-concordant Functions via Simple Steps
2021/05/28 by Alejandro Carderera, Mathieu Besançon, Carderera, Alejandro +3 · 1 citation
Computer Science · Engineering · #Advancements in Photolithography Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
- 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
- Human-AI Co-Creativity: Exploring Synergies Across Levels of Creative Collaboration
2024/11/19 by Jennifer Haase, Haase, Jennifer, Sebastian Pokutta +1 · 2 citations
Computer Science · Psychology · #Creativity in Education and Neuroscience #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Team Dynamics and Performance #Virtual Reality Applications and Impacts
- Improved algorithms and novel applications of the FrankWolfe.jl library
2025/01/24 by Mathieu Besançon, Besançon, Mathieu, Sébastien Designolle +14 · 4 citations
Computer Science · #Advanced Data Storage Technologies #Algorithms and Data Compression #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #FOS: Mathematics #Mathematical Software (cs.MS) #Optimization and Control (math.OC)
- Sparser Kernel Herding with Pairwise Conditional Gradients without Swap Steps
2021/10/25 by Kazuma Tsuji, Tsuji, Kazuma, Ken’ichiro Tanaka +3 · 1 citation
Engineering · Mathematics · #Advanced Adaptive Filtering Techniques #FOS: Mathematics #Numerical methods in inverse problems #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques
- Sustainability via LLM Right-sizing
2025/04/17 by Jennifer Haase, Haase, Jennifer, Finn Klessascheck +5 · 3 citations
Business, Management and Accounting · Economics, Econometrics and Finance · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Innovation Policy and R&D #Intellectual Property and Patents
- Fast convergence of Frank-Wolfe algorithms on polytopes
2024/06/26 by Elias Wirth, Javier Peña, Wirth, Elias +3 · 1 citation
Computer Science · Mathematics · #90C25 #90C52 #Advanced Optimization Algorithms Research #FOS: Mathematics #Matrix Theory and Algorithms #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
- Convergence and Trade-Offs in Riemannian Gradient Descent and Riemannian Proximal Point
2024/03/15 by David Martínez-Rubio, Martínez-Rubio, David, Christophe Roux +3 · 1 citation
Physics and Astronomy · Mathematics · #Advanced Differential Geometry Research #Geometric Analysis and Curvature Flows #Fixed Point Theorems Analysis
- Fast Frank--Wolfe Algorithms with Adaptive Bregman Step-Size for Weakly Convex Functions
2025/04/06 by Shota Takahashi, Takahashi, Shota, Sebastian Pokutta +3 · 4 citations
Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #math.OC
- Beyond Static Responses: Multi-Agent LLM Systems as a New Paradigm for Social Science Research
2025/06/02 by Jennifer Haase, Sebastian Pokutta, Haase, Jennifer +1 · 3 citations
Social Sciences · #Artificial Intelligence in Law #FOS: Computer and information sciences #Multiagent Systems (cs.MA)
- Network Design for the Traffic Assignment Problem with Mixed-Integer Frank-Wolfe
2024/01/31 by Kartikey Sharma, Sharma, Kartikey, Mathieu Besançon +4 · 2 citations
Engineering · Social Sciences · #FOS: Mathematics #Optimization and Control (math.OC) #Traffic Prediction and Management Techniques #Traffic control and management #Transportation Planning and Optimization
- 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