Pokutta, Sebastian

55 publications

AISTATS 2025 Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties David Martínez-Rubio, Christophe Roux, Christopher Criscitiello, Sebastian Pokutta

ICML 2025 Approximating Latent Manifolds in Neural Networks via Vanishing Ideals Nico Pelleriti, Max Zimmer, Elias Samuel Wirth, Sebastian Pokutta

ICML 2025 Capturing Temporal Dynamics in Large-Scale Canopy Tree Height Estimation Jan Pauls, Max Zimmer, Berkant Turan, Sassan Saatchi, Philippe Ciais, Sebastian Pokutta, Fabian Gieseke

ICLRW 2025 Compressed Sparse Tiles for Memory-Efficient Unstructured and Semi-Structured Sparsity Mike Lasby, Max Zimmer, Sebastian Pokutta, Erik Schultheis

NeurIPS 2025 Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms Hiroshi Kera, Nico Pelleriti, Yuki Ishihara, Max Zimmer, Sebastian Pokutta

NeurIPS 2025 Efficient Quadratic Corrections for Frank-Wolfe Algorithms Jannis Halbey, Seta Rakotomandimby, Mathieu Besançon, Sébastien Designolle, Sebastian Pokutta

ICLR 2025 GSE: Group-Wise Sparse and Explainable Adversarial Attacks Shpresim Sadiku, Moritz Wagner, Sebastian Pokutta

ICML 2025 Implicit Riemannian Optimism with Applications to Min-Max Problems Christophe Roux, David Martı́nez-Rubio, Sebastian Pokutta

ICML 2025 Neural Discovery in Mathematics: Do Machines Dream of Colored Planes? Konrad Mundinger, Max Zimmer, Aldo Kiem, Christoph Spiegel, Sebastian Pokutta

ICLR 2025 On the Byzantine-Resilience of Distillation-Based Federated Learning Christophe Roux, Max Zimmer, Sebastian Pokutta

AISTATS 2025 S-CFE: Simple Counterfactual Explanations Shpresim Sadiku, Moritz Wagner, Sai Ganesh Nagarajan, Sebastian Pokutta

ICML 2025 Secant Line Search for Frank-Wolfe Algorithms Deborah Hendrych, Sebastian Pokutta, Mathieu Besançon, David Martı́nez-Rubio

NeurIPS 2025 The Good, the Bad and the Ugly: Meta-Analysis of Watermarks, Transferable Attacks and Adversarial Defenses Grzegorz Gluch, Berkant Turan, Sai Ganesh Nagarajan, Sebastian Pokutta

ICLRW 2025 The Good, the Bad and the Ugly: Watermarks, Transferable Attacks and Adversarial Defenses Grzegorz Gluch, Berkant Turan, Sai Ganesh Nagarajan, Sebastian Pokutta

AISTATS 2025 The Pivoting Framework: Frank-Wolfe Algorithms with Active Set Size Control Mathieu Besançon, Sebastian Pokutta, Elias Samuel Wirth

ICML 2024 Convergence and Trade-Offs in Riemannian Gradient Descent and Riemannian Proximal Point David Martı́nez-Rubio, Christophe Roux, Sebastian Pokutta

ICML 2024 Estimating Canopy Height at Scale Jan Pauls, Max Zimmer, Una M. Kelly, Martin Schwartz, Sassan Saatchi, Philippe Ciais, Sebastian Pokutta, Martin Brandt, Fabian Gieseke

AISTATS 2024 Interpretability Guarantees with Merlin-Arthur Classifiers Stephan Wäldchen, Kartikey Sharma, Berkant Turan, Max Zimmer, Sebastian Pokutta

ICLRW 2024 Neural Parameter Regression for Explicit Representations of PDE Solution Operators Konrad Mundinger, Max Zimmer, Sebastian Pokutta

ICLR 2024 Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging Max Zimmer, Christoph Spiegel, Sebastian Pokutta

NeurIPSW 2023 Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties David Martínez-Rubio, Christophe Roux, Christopher Criscitiello, Sebastian Pokutta

COLT 2023 Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties David Martínez-Rubio, Sebastian Pokutta

COLT 2023 Accelerated and Sparse Algorithms for Approximate Personalized PageRank and Beyond David Martínez-Rubio, Elias Wirth, Sebastian Pokutta

AISTATS 2023 Acceleration of Frank-Wolfe Algorithms with Open-Loop Step-Sizes Elias Wirth, Thomas Kerdreux, Sebastian Pokutta

ICLR 2023 Approximate Vanishing Ideal Computations at Scale Elias Samuel Wirth, Hiroshi Kera, Sebastian Pokutta

AAAI 2023 Fully Computer-Assisted Proofs in Extremal Combinatorics Olaf Parczyk, Sebastian Pokutta, Christoph Spiegel, Tibor Szabó

ICLR 2023 How I Learned to Stop Worrying and Love Retraining Max Zimmer, Christoph Spiegel, Sebastian Pokutta

NeurIPS 2023 Learning Cuts via Enumeration Oracles Daniel Thuerck, Boro Sofranac, Marc E Pfetsch, Sebastian Pokutta

AISTATS 2022 Conditional Gradients for the Approximately Vanishing Ideal Elias S. Wirth, Sebastian Pokutta

NeurIPSW 2022 Accelerated Riemannian Optimization: Handling Constraints to Bound Geometric Penalties David Martínez-Rubio, Sebastian Pokutta

NeurIPS 2022 Fast Algorithms for Packing Proportional Fairness and Its Dual Francisco Criado, David Martinez-Rubio, Sebastian Pokutta

ICML 2022 Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings Jan Macdonald, Mathieu E. Besançon, Sebastian Pokutta

ICML 2022 Pairwise Conditional Gradients Without Swap Steps and Sparser Kernel Herding Kazuma K Tsuji, Ken’Ichiro Tanaka, Sebastian Pokutta

ICML 2022 Training Characteristic Functions with Reinforcement Learning: XAI-Methods Play Connect Four Stephan Wäldchen, Sebastian Pokutta, Felix Huber

AISTATS 2021 Projection-Free Optimization on Uniformly Convex Sets Thomas Kerdreux, Alexandre d’Aspremont, Sebastian Pokutta

NeurIPS 2021 Learning to Schedule Heuristics in Branch and Bound Antonia Chmiela, Elias Khalil, Ambros Gleixner, Andrea Lodi, Sebastian Pokutta

JMLR 2021 Linear Bandits on Uniformly Convex Sets Thomas Kerdreux, Christophe Roux, Alexandre d'Aspremont, Sebastian Pokutta

ICML 2021 Parameter-Free Locally Accelerated Conditional Gradients Alejandro Carderera, Jelena Diakonikolas, Cheuk Yin Lin, Sebastian Pokutta

NeurIPS 2021 Simple Steps Are All You Need: Frank-Wolfe and Generalized Self-Concordant Functions Alejandro Carderera, Mathieu Besançon, Sebastian Pokutta

ICML 2020 Boosting Frank-Wolfe by Chasing Gradients Cyrille Combettes, Sebastian Pokutta

ICML 2020 IPBoost – Non-Convex Boosting via Integer Programming Marc Pfetsch, Sebastian Pokutta

AISTATS 2020 Locally Accelerated Conditional Gradients Jelena Diakonikolas, Alejandro Carderera, Sebastian Pokutta

ICML 2020 On the Unreasonable Effectiveness of the Greedy Algorithm: Greedy Adapts to Sharpness Sebastian Pokutta, Mohit Singh, Alfredo Torrico

NeurIPS 2020 Walking in the Shadow: A New Perspective on Descent Directions for Constrained Minimization Hassan Mortagy, Swati Gupta, Sebastian Pokutta

ICML 2019 Blended Conditonal Gradients Gábor Braun, Sebastian Pokutta, Dan Tu, Stephen Wright

NeurIPS 2019 Blended Matching Pursuit Cyrille Combettes, Sebastian Pokutta

JMLR 2019 Lazifying Conditional Gradient Algorithms Gábor Braun, Sebastian Pokutta, Daniel Zink

AISTATS 2019 Restarting Frank-Wolfe Thomas Kerdreux, Alexandre d’Aspremont, Sebastian Pokutta

AISTATS 2019 Structured Robust Submodular Maximization: Offline and Online Algorithms Nima Anari, Nika Haghtalab, Seffi Naor, Sebastian Pokutta, Mohit Singh, Alfredo Torrico

ICML 2017 Conditional Accelerated Lazy Stochastic Gradient Descent Guanghui Lan, Sebastian Pokutta, Yi Zhou, Daniel Zink

ICML 2017 Emulating the Expert: Inverse Optimization Through Online Learning Andreas Bärmann, Sebastian Pokutta, Oskar Schneider

JMLR 2017 Hierarchical Clustering via Spreading Metrics Aurko Roy, Sebastian Pokutta

ICML 2017 Lazifying Conditional Gradient Algorithms Gábor Braun, Sebastian Pokutta, Daniel Zink

NeurIPS 2017 Reinforcement Learning Under Model Mismatch Aurko Roy, Huan Xu, Sebastian Pokutta

NeurIPS 2016 Hierarchical Clustering via Spreading Metrics Aurko Roy, Sebastian Pokutta