pith. sign in

Ludwig Schmidt

Identifiers

  • name variant Ludwig Schmidt 0.60 · backfill

Papers (30)

  1. Raon-OpenTTS: Open Models and Data for Robust Text-to-Speech eess.AS · 2026 · author #9
  2. V-GRPO: Online Reinforcement Learning for Denoising Generative Models Is Easier than You Think cs.LG · 2026 · author #5
  3. Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces cs.SE · 2026 · author #85
  4. CodeClash: Benchmarking Goal-Oriented Software Engineering cs.SE · 2025 · author #8
  5. OpenThoughts: Data Recipes for Reasoning Models cs.LG · 2025 · author #50
  6. SWE-smith: Scaling Data for Software Engineering Agents cs.SE · 2025 · author #9
  7. DataComp-LM: In search of the next generation of training sets for language models cs.LG · 2024 · author #58
  8. OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models cs.CV · 2023 · author #16
  9. Objaverse-XL: A Universe of 10M+ 3D Objects cs.CV · 2023 · author #16
  10. Editing Models with Task Arithmetic cs.LG · 2022 · author #5
  11. LAION-5B: An open large-scale dataset for training next generation image-text models cs.CV · 2022 · author #14
  12. Measuring and Narrowing the Compositionality Gap in Language Models cs.CL · 2022 · author #4
  13. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models cs.CL · 2022 · author #236
  14. Model Similarity Mitigates Test Set Overuse cs.LG · 2019 · author #3
  15. Do ImageNet Classifiers Generalize to ImageNet? cs.CV · 2019 · author #3
  16. Model Reconstruction from Model Explanations stat.ML · 2018 · author #2
  17. Do CIFAR-10 Classifiers Generalize to CIFAR-10? cs.LG · 2018 · author #3
  18. Adversarially Robust Generalization Requires More Data cs.LG · 2018 · author #1
  19. Fast and Sample Near-Optimal Algorithms for Learning Multidimensional Histograms cs.LG · 2018 · author #3
  20. A Fast Algorithm for Separated Sparsity via Perturbed Lagrangians cs.DS · 2017 · author #3
  21. Graph-Sparse Logistic Regression cs.LG · 2017 · author #2
  22. A Classification-Based Study of Covariate Shift in GAN Distributions cs.LG · 2017 · author #2
  23. On the Limitations of First-Order Approximation in GAN Dynamics cs.LG · 2017 · author #4
  24. Towards Deep Learning Models Resistant to Adversarial Attacks stat.ML · 2017 · author #3
  25. On the Fine-Grained Complexity of Empirical Risk Minimization: Kernel Methods and Neural Networks cs.CC · 2017 · author #3
  26. Fast Algorithms for Segmented Regression cs.LG · 2016 · author #4
  27. Practical and Optimal LSH for Angular Distance cs.DS · 2015 · author #5
  28. A Nearly Optimal and Agnostic Algorithm for Properly Learning a Mixture of k Gaussians, for any Constant k cs.DS · 2015 · author #2
  29. Sample-Optimal Density Estimation in Nearly-Linear Time cs.DS · 2015 · author #4
  30. Approximation Algorithms for Model-Based Compressive Sensing cs.IT · 2014 · author #3

Mentions

  • 1509.02897 #5 · backfill · confidence 0.70 Ludwig Schmidt
  • 1506.01367 #2 · backfill · confidence 0.70 Ludwig Schmidt
  • 1506.00671 #4 · backfill · confidence 0.70 Ludwig Schmidt
  • 1406.1579 #3 · backfill · confidence 0.70 Ludwig Schmidt
  • 2605.20830 #9 · arxiv_oai · confidence 0.70 Ludwig Schmidt
  • 2406.11794 #58 · arxiv_oai · confidence 0.70 Ludwig Schmidt
  • 2210.03350 #4 · arxiv_oai · confidence 0.70 Ludwig Schmidt
  • 2307.05663 #16 · arxiv_oai · confidence 0.70 Ludwig Schmidt

Frequent Coauthors