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Fredrik Heintz

Identifiers

  • name variant Fredrik Heintz 0.60 · backfill

Papers (19)

  1. Scaling Transformers for Time Series Forecasting: Do Pretrained Large Models Outperform Small-Scale Alternatives? cs.LG · 2025 · author #3
  2. Enhancing Time Series Forecasting with Fuzzy Attention-Integrated Transformers cs.LG · 2025 · author #2
  3. Integrating Quantum-Classical Attention in Patch Transformers for Enhanced Time Series Forecasting cs.LG · 2025 · author #2
  4. International AI Safety Report cs.CY · 2025 · author #39
  5. EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions cs.LG · 2024 · author #3
  6. LMS-AutoTSF: Learnable Multi-Scale Decomposition and Integrated Autocorrelation for Time Series Forecasting cs.LG · 2024 · author #3
  7. Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation cs.LG · 2024 · author #3
  8. Exploratory Visual Analysis for Increasing Data Readiness in Artificial Intelligence Projects stat.ME · 2024 · author #4
  9. Generating Synthetic Fair Syntax-agnostic Data by Learning and Distilling Fair Representation cs.LG · 2024 · author #4
  10. Synthetic SQL Column Descriptions and Their Impact on Text-to-SQL Performance cs.CL · 2024 · author #10
  11. FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and explainability cs.LG · 2024 · author #4
  12. Deep Temporal Deaggregation: Large-Scale Spatio-Temporal Generative Models cs.LG · 2024 · author #3
  13. Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks cs.LG · 2024 · author #4
  14. TransFusion: Generating Long, High Fidelity Time Series using Diffusion Models with Transformers cs.LG · 2023 · author #3
  15. Achieving a Data-driven Risk Assessment Methodology for Ethical AI cs.CY · 2021 · author #5
  16. Scalar reward is not enough: A response to Silver, Singh, Precup and Sutton (2021) cs.AI · 2021 · author #8
  17. Towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic Algorithms cs.AI · 2021 · author #5
  18. A Practical Guide to Multi-Objective Reinforcement Learning and Planning cs.AI · 2021 · author #10
  19. Enhancing Lattice-based Motion Planning with Introspective Learning and Reasoning cs.RO · 2020 · author #4

Mentions

  • 2507.02907 #3 · arxiv_oai · confidence 0.70 Fredrik Heintz
  • 2504.00070 #2 · arxiv_oai · confidence 0.70 Fredrik Heintz
  • 2504.00068 #2 · arxiv_oai · confidence 0.70 Fredrik Heintz
  • 2501.17805 #39 · arxiv_oai · confidence 0.70 Fredrik Heintz
  • 2412.06866 #3 · arxiv_oai · confidence 0.70 Fredrik Heintz
  • 2412.12227 #3 · arxiv_oai · confidence 0.70 Fredrik Heintz
  • 2408.04691 #10 · arxiv_oai · confidence 0.70 Fredrik Heintz
  • 2410.01423 #3 · arxiv_oai · confidence 0.70 Fredrik Heintz
  • 2409.03805 #4 · arxiv_oai · confidence 0.70 Fredrik Heintz
  • 2406.14281 #4 · arxiv_oai · confidence 0.70 Fredrik Heintz
  • 2408.10755 #4 · arxiv_oai · confidence 0.70 Fredrik Heintz
  • 2406.12423 #3 · arxiv_oai · confidence 0.70 Fredrik Heintz
  • 2404.13634 #4 · arxiv_oai · confidence 0.70 Fredrik Heintz
  • 2307.12667 #3 · arxiv_oai · confidence 0.70 Fredrik Heintz
  • 2103.09568 #10 · arxiv_oai · confidence 0.70 Fredrik Heintz
  • 2112.15422 #8 · arxiv_oai · confidence 0.70 Fredrik Heintz
  • 2005.07385 #4 · arxiv_oai · confidence 0.70 Fredrik Heintz
  • 2112.01282 #5 · arxiv_oai · confidence 0.70 Fredrik Heintz
  • 2107.00317 #5 · arxiv_oai · confidence 0.70 Fredrik Heintz

Frequent Coauthors