Approximate computation of zero-dimensional polynomial ideals. - Daniel Heldt; Martin Kreuzer; Sebastian Pokutta; Hennie Poulisse (J. Symb. Comput., 2009)

France Telecom workforce scheduling problem: a challenge. - Sebastian Pokutta; Gautier Stauffer (RAIRO Oper. Res., 2009)

On the Rank of Cutting-Plane Proof Systems. - Sebastian Pokutta; Andreas S. Schulz (IPCO, 2010)

Rank of random half-integral polytopes - extended abstract -. - Gábor Braun; Sebastian Pokutta (Electron. Notes Discret. Math., 2010)

Cutting-planes for weakly-coupled 0/1 second order cone programs. - Sarah Drewes; Sebastian Pokutta (Electron. Notes Discret. Math., 2010)

Random half-integral polytopes. - Gábor Braun; Sebastian Pokutta (Oper. Res. Lett., 2011)

On the membership problem for the {0, 1/2}-closure. - Adam N. Letchford; Sebastian Pokutta; Andreas S. Schulz (Oper. Res. Lett., 2011)

Lower bounds for the Chvátal-Gomory rank in the 0/1 cube. - Sebastian Pokutta; Gautier Stauffer (Oper. Res. Lett., 2011)

Integer-empty polytopes in the 0/1-cube with maximal Gomory-Chvátal rank. - Sebastian Pokutta; Andreas S. Schulz (Oper. Res. Lett., 2011)

An Algebraic Approach to Symmetric Extended Formulations. - Gábor Braun; Sebastian Pokutta (ISCO, 2012)

Linear vs. semidefinite extended formulations: exponential separation and strong lower bounds. - Samuel Fiorini; Serge Massar; Sebastian Pokutta; Hans Raj Tiwary; Ronald de Wolf (STOC, 2012)

Common information and unique disjointness. - Gábor Braun; Sebastian Pokutta (Electron. Colloquium Comput. Complex., 2013)

A note on the extension complexity of the knapsack polytope. - Sebastian Pokutta; Mathieu Van Vyve (Oper. Res. Lett., 2013)

LP and SDP inapproximability of combinatorial problems. - Gábor Braun; Sebastian Pokutta; Daniel Zink (CoRR, 2014)

Symmetry-exploiting cuts for a class of mixed-0/1 second-order cone programs. - Sarah Drewes; Sebastian Pokutta (Discret. Optim., 2014)

Design and verify: a new scheme for generating cutting-planes. - Santanu S. Dey; Sebastian Pokutta (Math. Program., 2014)

Strict linear prices in non-convex European day-ahead electricity markets. - Alexander Martin 001; Johannes C. Müller; Sebastian Pokutta (Optim. Methods Softw., 2014)

A short proof for the polyhedrality of the Chvátal-Gomory closure of a compact convex set. - Gábor Braun; Sebastian Pokutta (Oper. Res. Lett., 2014)

Information theory and polyhedral combinatorics. - Sebastian Pokutta (Allerton, 2015)

No Small Linear Program Approximates Vertex Cover within a Factor 2 - e. - Abbas Bazzi; Samuel Fiorini; Sebastian Pokutta; Ola Svensson (FOCS, 2015)

Sequential sensing with model mismatch. - Ruiyang Song; Yao Xie 002; Sebastian Pokutta (ISIT, 2015)

The matching polytope does not admit fully-polynomial size relaxation schemes. - Gábor Braun; Sebastian Pokutta (SODA, 2015)

Inapproximability of Combinatorial Problems via Small LPs and SDPs. - Gábor Braun; Sebastian Pokutta; Daniel Zink (STOC, 2015)

No Small Linear Program Approximates Vertex Cover within a Factor 2-ε. - Abbas Bazzi; Samuel Fiorini; Sebastian Pokutta; Ola Svensson (CoRR, 2015)

An information diffusion Fano inequality. - Gábor Braun; Sebastian Pokutta (CoRR, 2015)

Sequential Information Guided Sensing. - Ruiyang Song; Yao Xie 002; Sebastian Pokutta (CoRR, 2015)

Exponential Lower Bounds for Polytopes in Combinatorial Optimization. - Samuel Fiorini; Serge Massar; Sebastian Pokutta; Hans Raj Tiwary; Ronald de Wolf (J. ACM, 2015)

Info-Greedy Sequential Adaptive Compressed Sensing. - Gábor Braun; Sebastian Pokutta; Yao Xie 002 (IEEE J. Sel. Top. Signal Process., 2015)

Approximation Limits of Linear Programs (Beyond Hierarchies). - Gábor Braun; Samuel Fiorini; Sebastian Pokutta; David Steurer (Math. Oper. Res., 2015)

On the existence of 0/1 polytopes with high semidefinite extension complexity. - Jop Briët; Daniel Dadush; Sebastian Pokutta (Math. Program., 2015)

The Matching Problem Has No Fully Polynomial Size Linear Programming Relaxation Schemes. - Gábor Braun; Sebastian Pokutta (IEEE Trans. Inf. Theory, 2015)

Polyhedral approximation of ellipsoidal uncertainty sets via extended formulations: a computational case study. - Andreas Bärmann; Andreas Heidt; Alexander Martin 001; Sebastian Pokutta; Christoph Thurner (Comput. Manag. Sci., 2016)

An efficient high-probability algorithm for Linear Bandits. - Gábor Braun; Sebastian Pokutta (CoRR, 2016)

Toward a Science of Autonomy for Physical Systems: Transportation. - Daniel Lee; Sebastian Pokutta (CoRR, 2016)

Average case polyhedral complexity of the maximum stable set problem. - Gábor Braun; Samuel Fiorini; Sebastian Pokutta (Math. Program., 2016)

A Polyhedral Characterization of Border Bases. - Gábor Braun; Sebastian Pokutta (SIAM J. Discret. Math., 2016)

Modulation recognition using side information and hybrid learning. - Keerthi Suria Kumar Arumugam; Ishaque Ashar Kadampot; Mehrdad Tahmasbi; Shaswat Shah; Matthieu R. Bloch; Sebastian Pokutta (DySPAN, 2017)

Emulating the Expert: Inverse Optimization through Online Learning. - Andreas Bärmann; Sebastian Pokutta; Oskar Schneider (ICML, 2017)

Conditional Accelerated Lazy Stochastic Gradient Descent. - Guanghui Lan; Sebastian Pokutta; Yi Zhou 015; Daniel Zink (ICML, 2017)

Reinforcement Learning under Model Mismatch. - Aurko Roy; Huan Xu; Sebastian Pokutta (NIPS, 2017)

Information-theoretic approximations of the nonnegative rank. - Gábor Braun; Rahul Jain 001; Troy Lee; Sebastian Pokutta (Comput. Complex., 2017)

Erratum to: Polyhedral approximation of ellipsoidal uncertainty sets via extended formulations: a computational case study. - Andreas Bärmann; Andreas Heidt; Alexander Martin 001; Sebastian Pokutta; Christoph Thurner (Comput. Manag. Sci., 2017)

Robust Submodular Maximization: Offline and Online Algorithms. - Nima Anari; Nika Haghtalab; Joseph Naor; Sebastian Pokutta; Mohit Singh; Alfredo Torrico (CoRR, 2017)

Approximation and online algorithms for multidimensional bin packing: A survey. - Henrik I. Christensen; Arindam Khan 001; Sebastian Pokutta; Prasad Tetali (Comput. Sci. Rev., 2017)

Hierarchical Clustering via Spreading Metrics. - Aurko Roy; Sebastian Pokutta (J. Mach. Learn. Res., 2017)

Pricing and clearing combinatorial markets with singleton and swap orders. - Johannes C. Müller; Sebastian Pokutta; Alexander Martin 001; Susanne Pape; Andrea Peter; Thomas Winter (Math. Methods Oper. Res., 2017)

The matching problem has no small symmetric SDP. - Gábor Braun; Jonah Brown-Cohen; Arefin Huq; Sebastian Pokutta; Prasad Raghavendra; Aurko Roy; Benjamin Weitz; Daniel Zink (Math. Program., 2017)

Lower Bounds on the Oracle Complexity of Nonsmooth Convex Optimization via Information Theory. - Gábor Braun; Cristóbal Guzmán; Sebastian Pokutta (IEEE Trans. Inf. Theory, 2017)

Continuous simulation Optimization with Model mismatch using Gaussian Process Regression. - Alireza Inanlouganji; Giulia Pedrielli; Georgios Fainekos; Sebastian Pokutta (WSC, 2018)

Blended Conditional Gradients: the unconditioning of conditional gradients. - Gábor Braun; Sebastian Pokutta; Dan Tu; Stephen J. Wright 001 (CoRR, 2018)

Limits of Treewidth-based tractability in Optimization. - Yuri Faenza; Gonzalo Muñoz 001; Sebastian Pokutta (CoRR, 2018)

Efficient algorithms for robust submodular maximization under matroid constraints. - Sebastian Pokutta; Mohit Singh; Alfredo Torrico (CoRR, 2018)

An Online-Learning Approach to Inverse Optimization. - Andreas Bärmann; Alexander Martin 001; Sebastian Pokutta; Oskar Schneider (CoRR, 2018)

Solving MIPs via scaling-based augmentation. - Pierre Le Bodic; Jeffrey William Pavelka; Marc E. Pfetsch; Sebastian Pokutta (Discret. Optim., 2018)

On the effect of model mismatch for sequential Info-Greedy Sensing. - Ruiyang Song; Yao Xie 002; Sebastian Pokutta (EURASIP J. Adv. Signal Process., 2018)

Aggregation-based cutting-planes for packing and covering integer programs. - Merve Bodur; Alberto Del Pia; Santanu S. Dey; Marco Molinaro 001; Sebastian Pokutta (Math. Program., 2018)

Strong reductions for extended formulations. - Gábor Braun; Sebastian Pokutta; Aurko Roy (Math. Program., 2018)

Detecting almost symmetries of graphs. - Ben Knueven; Jim Ostrowski 002; Sebastian Pokutta (Math. Program. Comput., 2018)

Restarting Frank-Wolfe. - Thomas Kerdreux; Alexandre d'Aspremont; Sebastian Pokutta (AISTATS, 2019)

Blended Conditonal Gradients. - Gábor Braun; Sebastian Pokutta; Dan Tu; Stephen J. Wright 001 (ICML, 2019)

Blended Matching Pursuit. - Cyrille W. Combettes; Sebastian Pokutta (NeurIPS, 2019)

Lazifying Conditional Gradient Algorithms. - Gábor Braun; Sebastian Pokutta; Daniel Zink (J. Mach. Learn. Res., 2019)

No Small Linear Program Approximates Vertex Cover Within a Factor 2 - ɛ. - Abbas Bazzi; Samuel Fiorini; Sebastian Pokutta; Ola Svensson (Math. Oper. Res., 2019)

Affine reductions for LPs and SDPs. - Gábor Braun; Sebastian Pokutta; Daniel Zink (Math. Program., 2019)

Locally Accelerated Conditional Gradients. - Jelena Diakonikolas; Alejandro Carderera; Sebastian Pokutta (AISTATS, 2020)

Restarting Algorithms: Sometimes There Is Free Lunch. - Sebastian Pokutta (CPAIOR, 2020)

Boosting Frank-Wolfe by Chasing Gradients. - Cyrille W. Combettes; Sebastian Pokutta (ICML, 2020)

IPBoost - Non-Convex Boosting via Integer Programming. - Marc E. Pfetsch; Sebastian Pokutta (ICML, 2020)

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

Walking in the Shadow: A New Perspective on Descent Directions for Constrained Minimization. - Hassan Mortagy; Swati Gupta 001; Sebastian Pokutta (NeurIPS, 2020)

Second-order Conditional Gradients. - Alejandro Carderera; Sebastian Pokutta (CoRR, 2020)

Projection-Free Adaptive Gradients for Large-Scale Optimization. - Cyrille W. Combettes; Christoph Spiegel 002; Sebastian Pokutta (CoRR, 2020)

Deep Neural Network Training with Frank-Wolfe. - Sebastian Pokutta; Christoph Spiegel 002; Max Zimmer (CoRR, 2020)

Projection-Free Optimization on Uniformly Convex Sets. - Thomas Kerdreux; Alexandre d'Aspremont; Sebastian Pokutta (AISTATS, 2021)

Parameter-free Locally Accelerated Conditional Gradients. - Alejandro Carderera; Jelena Diakonikolas; Cheuk Yin Lin; Sebastian Pokutta (ICML, 2021)

Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions. - Alejandro Carderera; Mathieu Besançon; Sebastian Pokutta (NeurIPS, 2021)

Learning to Schedule Heuristics in Branch and Bound. - Antonia Chmiela; Elias B. Khalil; Ambros M. Gleixner; Andrea Lodi 001; Sebastian Pokutta (NeurIPS, 2021)

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. - Maxime Gasse; Simon Bowly; Quentin Cappart; Jonas Charfreitag; Laurent Charlin; Didier Chételat; Antonia Chmiela; Justin Dumouchelle; Ambros M. Gleixner; Aleksandr M. Kazachkov; Elias B. Khalil; Pawel Lichocki; et al. (NeurIPS (Competition and Demos), 2021)

Adversaries in Online Learning Revisited: with applications in Robust Optimization and Adversarial training. - Sebastian Pokutta; Huan Xu (CoRR, 2021)

Local and Global Uniform Convexity Conditions. - Thomas Kerdreux; Alexandre d'Aspremont; Sebastian Pokutta (CoRR, 2021)

Efficient Online-Bandit Strategies for Minimax Learning Problems. - Christophe Roux; Elias Samuel Wirth; Sebastian Pokutta; Thomas Kerdreux (CoRR, 2021)

Structured Robust Submodular Maximization: Offline and Online Algorithms. - Alfredo Torrico; Mohit Singh; Sebastian Pokutta; Nika Haghtalab; Joseph (Seffi) Naor; Nima Anari (INFORMS J. Comput., 2021)

Linear Bandits on Uniformly Convex Sets. - Thomas Kerdreux; Christophe Roux; Alexandre d'Aspremont; Sebastian Pokutta (J. Mach. Learn. Res., 2021)

Complexity of linear minimization and projection on some sets. - Cyrille W. Combettes; Sebastian Pokutta (Oper. Res. Lett., 2021)

Learning to Schedule Heuristics in Branch-and-Bound. - Antonia Chmiela; Elias B. Khalil; Ambros M. Gleixner; Andrea Lodi 001; Sebastian Pokutta (Zenodo, 2021)

Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings. - Jan MacDonald; Mathieu Besançon; Sebastian Pokutta (Zenodo, 2021)

Conditional Gradients for the Approximately Vanishing Ideal. - Elias Samuel Wirth; Sebastian Pokutta (AISTATS, 2022)

Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings. - Jan MacDonald; Mathieu Besançon; Sebastian Pokutta (ICML, 2022)

Pairwise Conditional Gradients without Swap Steps and Sparser Kernel Herding. - Kazuma 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 (ICML, 2022)

Fast Algorithms for Packing Proportional Fairness and its Dual. - Francisco Criado; David Martínez-Rubio; Sebastian Pokutta (NeurIPS, 2022)

An algorithm-independent measure of progress for linear constraint propagation. - Boro Sofranac; Ambros M. Gleixner; Sebastian Pokutta (Constraints An Int. J., 2022)

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. - Maxime Gasse; Quentin Cappart; Jonas Charfreitag; Laurent Charlin; Didier Chételat; Antonia Chmiela; Justin Dumouchelle; Ambros M. Gleixner; Aleksandr M. Kazachkov; Elias B. Khalil; Pawel Lichocki; Andrea Lodi 001; et al. (CoRR, 2022)

Optimizing a low-dimensional convex function over a high-dimensional cube. - Christoph Hunkenschröder; Sebastian Pokutta; Robert Weismantel (CoRR, 2022)

Compression-aware Training of Neural Networks using Frank-Wolfe. - Max Zimmer; Christoph Spiegel 002; Sebastian Pokutta (CoRR, 2022)

Merlin-Arthur Classifiers: Formal Interpretability with Interactive Black Boxes. - Stephan Wäldchen; Kartikey Sharma; Max Zimmer; Sebastian Pokutta (CoRR, 2022)

Convex integer optimization with Frank-Wolfe methods. - Deborah Hendrych; Hannah Troppens; Mathieu Besançon; Sebastian Pokutta (CoRR, 2022)

Toward Sharing Brain Images: Differentially Private TOF-MRA Images With Segmentation Labels Using Generative Adversarial Networks. - Tabea Kossen; Manuel A. Hirzel; Vince I. Madai; Franziska Boenisch; Anja Hennemuth; Kristian Hildebrand; Sebastian Pokutta; Kartikey Sharma; Adam Hilbert; Jan Sobesky; Ivana Galinovic; Ahmed A. Khalil; et al. (Frontiers Artif. Intell., 2022)

FrankWolfe.jl: A High-Performance and Flexible Toolbox for Frank-Wolfe Algorithms and Conditional Gradients. - Mathieu Besançon; Alejandro Carderera; Sebastian Pokutta (INFORMS J. Comput., 2022)

Restarting Frank-Wolfe: Faster Rates under Hölderian Error Bounds. - Thomas Kerdreux; Alexandre d'Aspremont; Sebastian Pokutta (J. Optim. Theory Appl., 2022)

New limits of treewidth-based tractability in optimization. - Yuri Faenza; Gonzalo Muñoz 001; Sebastian Pokutta (Math. Program., 2022)

Accelerating domain propagation: An efficient GPU-parallel algorithm over sparse matrices. - Boro Sofranac; Ambros M. Gleixner; Sebastian Pokutta (Parallel Comput., 2022)

Fully Computer-Assisted Proofs in Extremal Combinatorics. - Olaf Parczyk; Sebastian Pokutta; Christoph Spiegel 002; Tibor Szabó (AAAI, 2023)

Acceleration of Frank-Wolfe Algorithms with Open-Loop Step-Sizes. - Elias Samuel Wirth; Thomas Kerdreux; Sebastian Pokutta (AISTATS, 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 Samuel Wirth; Sebastian Pokutta (COLT, 2023)

Online Learning for Scheduling MIP Heuristics. - Antonia Chmiela; Ambros M. Gleixner; Pawel Lichocki; Sebastian Pokutta (CPAIOR, 2023)

Approximate Vanishing Ideal Computations at Scale. - Elias Samuel Wirth; Hiroshi Kera; Sebastian Pokutta (ICLR, 2023)

How I Learned to Stop Worrying and Love Retraining. - Max Zimmer; Christoph Spiegel 002; Sebastian Pokutta (ICLR, 2023)

Learning Cuts via Enumeration Oracles. - Daniel Thuerck; Boro Sofranac; Marc E. Pfetsch; Sebastian Pokutta (NeurIPS, 2023)

Group-wise Sparse and Explainable Adversarial Attacks. - Shpresim Sadiku; Moritz Wagner 002; Sebastian Pokutta (CoRR, 2023)

PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs. - Max Zimmer; Megi Andoni; Christoph Spiegel 002; Sebastian Pokutta (CoRR, 2023)

Minimizing a Low-Dimensional Convex Function Over a High-Dimensional Cube. - Christoph Hunkenschröder; Sebastian Pokutta; Robert Weismantel (SIAM J. Optim., 2023)

Revisiting the approximate Carathéodory problem via the Frank-Wolfe algorithm. - Cyrille W. Combettes; Sebastian Pokutta (Math. Program., 2023)

Online Learning for Scheduling MIP Heuristics. - Antonia Chmiela; Ambros M. Gleixner; Pawel Lichocki; Sebastian Pokutta (Zenodo, 2023)

Principled deep neural network training through linear programming. - Daniel Bienstock; Gonzalo Muñoz 001; Sebastian Pokutta (Discret. Optim., 2023)

Data-Driven Distributionally Robust Optimization over Time. - Kevin-Martin Aigner; Andreas Bärmann; Kristin Braun; Frauke Liers; Sebastian Pokutta; Oskar Schneider; Kartikey Sharma; Sebastian Tschuppik (INFORMS J. Optim., 2023)

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

Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging. - Max Zimmer; Christoph Spiegel 002; Sebastian Pokutta (ICLR, 2024)

Convergence and Trade-Offs in Riemannian Gradient Descent and Riemannian Proximal Point. - David Martínez-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 (ICML, 2024)

Solving the Optimal Experiment Design Problem with Mixed-Integer Convex Methods. - Deborah Hendrych; Mathieu Besançon; Sebastian Pokutta (SEA, 2024)

Neural Parameter Regression for Explicit Representations of PDE Solution Operators. - Konrad Mundinger; Max Zimmer; Sebastian Pokutta (CoRR, 2024)

The Good, the Bad and the Ugly: Watermarks, Transferable Attacks and Adversarial Defenses. - Grzegorz Gluch; Berkant Turan; Sai Ganesh Nagarajan; Sebastian Pokutta (CoRR, 2024)

Human-AI Co-Creativity: Exploring Synergies Across Levels of Creative Collaboration. - Jennifer Haase; Sebastian Pokutta (CoRR, 2024)

The complexity of geometric scaling. - Antoine Deza; Sebastian Pokutta; Lionel Pournin (Oper. Res. Lett., 2024)

Kissing Polytopes. - Antoine Deza; Shmuel Onn; Sebastian Pokutta; Lionel Pournin (SIAM J. Discret. Math., 2024)

Scalable Frank-Wolfe on Generalized Self-Concordant Functions via Simple Steps. - Alejandro Carderera; Mathieu Besançon; Sebastian Pokutta (SIAM J. Optim., 2024)

On a Frank-Wolfe approach for abs-smooth functions. - Sebastian Pokutta; Andrea Walther; Timo Kreimeier; Zev Woodstock (Zenodo, 2024)

Network Design with Integer Frank Wolfe. - Kartikey Sharma; Deborah Hendrych; Mathieu Besançon; Sebastian Pokutta (Zenodo, 2024)

Interpretability Guarantees with Merlin-Arthur Classifiers. - Stephan Wäldchen; Kartikey Sharma; Berkant Turan; Max Zimmer; Sebastian Pokutta (Zenodo, 2024)

Corrections to "Lower Bounds on the Oracle Complexity of Nonsmooth Convex Optimization via Information Theory". - Gábor Braun; Cristóbal Guzmán; Sebastian Pokutta (IEEE Trans. Inf. Theory, 2024)

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

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

S-CFE: Simple Counterfactual Explanations. - Shpresim Sadiku; Moritz Wagner 002; Sai Ganesh Nagarajan; Sebastian Pokutta (AISTATS, 2025)

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

GSE: Group-wise Sparse and Explainable Adversarial Attacks. - Shpresim Sadiku; Moritz Wagner 002; Sebastian Pokutta (ICLR, 2025)

Mixed-Integer Optimization for Loopless Flux Distributions in Metabolic Networks. - Hannah Troppens; Mathieu Besançon; St. Elmo Wilken; Sebastian Pokutta (SEA, 2025)

An efficient first-order conditional gradient algorithm in data-driven sparse identification of nonlinear dynamics to solve sparse recovery problems under noise. - Alejandro Carderera; Sebastian Pokutta; Christof Schütte; Martin Weiser (J. Comput. Appl. Math., 2025)

Splitting the Conditional Gradient Algorithm. - Zev Woodstock; Sebastian Pokutta (SIAM J. Optim., 2025)

Improved algorithms and novel applications of the FrankWolfe.jl library. - Mathieu Besançon; Sébastien Designolle; Jannis Halbey; Deborah Hendrych; Dominik Kuzinowicz; Sebastian Pokutta; Hannah Troppens; Daniel Viladrich Herrmannsdoerfer; Elias Samuel Wirth (CoRR, 2025)

Implicit Riemannian Optimism with Applications to Min-Max Problems. - Christophe Roux; David Martínez-Rubio; Sebastian Pokutta (CoRR, 2025)

Neural Discovery in Mathematics: Do Machines Dream of Colored Planes? - Konrad Mundinger; Max Zimmer; Aldo Kiem; Christoph Spiegel 002; Sebastian Pokutta (CoRR, 2025)

Beyond Short Steps in Frank-Wolfe Algorithms. - David Martínez-Rubio; Sebastian Pokutta (CoRR, 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 (CoRR, 2025)

Approximating Latent Manifolds in Neural Networks via Vanishing Ideals. - Nico Pelleriti; Max Zimmer; Elias Samuel Wirth; Sebastian Pokutta (CoRR, 2025)

Has the Creativity of Large-Language Models peaked? An analysis of inter- and intra-LLM variability. - Jennifer Haase; Paul H. P. Hanel; Sebastian Pokutta (CoRR, 2025)

Sustainability via LLM Right-sizing. - Jennifer Haase; Finn Klessascheck; Jan Mendling; Sebastian Pokutta (CoRR, 2025)

S-DAT: A Multilingual, GenAI-Driven Framework for Automated Divergent Thinking Assessment. - Jennifer Haase; Paul H. P. Hanel; Sebastian Pokutta (CoRR, 2025)

Linear Convergence of the Frank-Wolfe Algorithm over Product Polytopes. - Gabriele Iommazzo; David Martínez-Rubio; Francisco Criado; Elias Samuel Wirth; Sebastian Pokutta (CoRR, 2025)

RECON: Robust symmetry discovery via Explicit Canonical Orientation Normalization. - Alonso Urbano; David W. Romero; Max Zimmer; Sebastian Pokutta (CoRR, 2025)

Training on Plausible Counterfactuals Removes Spurious Correlations. - Shpresim Sadiku; Kartikeya Chitranshi; Hiroshi Kera; Sebastian Pokutta (CoRR, 2025)

Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms. - Hiroshi Kera; Nico Pelleriti; Yuki Ishihara; Max Zimmer; Sebastian Pokutta (CoRR, 2025)

Beyond Static Responses: Multi-Agent LLM Systems as a New Paradigm for Social Science Research. - Jennifer Haase; Sebastian Pokutta (CoRR, 2025)

Neural Concept Verifier: Scaling Prover-Verifier Games via Concept Encodings. - Berkant Turan; Suhrab Asadulla; David Steinmann; Wolfgang Stammer; Sebastian Pokutta (CoRR, 2025)

Scalable DC Optimization via Adaptive Frank-Wolfe Algorithms. - Sebastian Pokutta (CoRR, 2025)

FACET: Teacher-Centred LLM-Based Multi-Agent Systems-Towards Personalized Educational Worksheets. - Jana Gonnermann-Müller; Jennifer Haase; Konstantin Fackeldey; Sebastian Pokutta (CoRR, 2025)