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Nikos Arechiga

Identifiers

  • name variant Nikos Arechiga 0.60 · backfill

Papers (21)

  1. ConjointNet: Enhancing Conjoint Analysis for Preference Prediction with Representation Learning cs.LG · 2025 · author #8
  2. Stylish and Functional: Guided Interpolation Subject to Physical Constraints cs.LG · 2024 · author #2
  3. Parametric-ControlNet: Multimodal Control in Foundation Models for Precise Engineering Design Synthesis cs.AI · 2024 · author #5
  4. Leveraging Language Models and Bandit Algorithms to Drive Adoption of Battery-Electric Vehicles cs.CL · 2024 · author #8
  5. On LLM Wizards: Identifying Large Language Models' Behaviors for Wizard of Oz Experiments cs.HC · 2024 · author #2
  6. Bridging Design Gaps: A Parametric Data Completion Approach With Graph Guided Diffusion Models cs.LG · 2024 · author #5
  7. Using LLMs to Model the Beliefs and Preferences of Targeted Populations cs.CL · 2024 · author #6
  8. A Safe Preference Learning Approach for Personalization with Applications to Autonomous Vehicles cs.AI · 2023 · author #2
  9. Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge cs.HC · 2023 · author #6
  10. Drag-guided diffusion models for vehicle image generation cs.LG · 2023 · author #1
  11. Surrogate Modeling of Car Drag Coefficient with Depth and Normal Renderings cs.LG · 2023 · author #4
  12. Towards a Learner-Centered Explainable AI: Lessons from the learning sciences cs.HC · 2022 · author #7
  13. Second-Order Sensitivity Analysis for Bilevel Optimization math.OC · 2022 · author #3
  14. Understanding and Shifting Preferences for Battery Electric Vehicles cs.IR · 2022 · author #1
  15. Finding Label and Model Errors in Perception Data With Learned Observation Assertions cs.DB · 2022 · author #2
  16. Accelerating Understanding of Scientific Experiments with End to End Symbolic Regression cs.LG · 2021 · author #1
  17. Certified Control: An Architecture for Verifiable Safety of Autonomous Vehicles cs.RO · 2021 · author #9
  18. Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization cs.LG · 2020 · author #4
  19. Better AI through Logical Scaffolding cs.LG · 2019 · author #1
  20. Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss cs.LG · 2019 · author #4
  21. Forward Invariant Cuts to Simplify Proofs of Safety cs.LO · 2015 · author #1

Mentions

  • 2503.11710 #8 · arxiv_oai · confidence 0.70 Nikos Arechiga
  • 2412.15507 #2 · arxiv_oai · confidence 0.70 Nikos Arechiga
  • 2412.04707 #5 · arxiv_oai · confidence 0.70 Nikos Arechiga
  • 2410.23371 #8 · arxiv_oai · confidence 0.70 Nikos Arechiga
  • 2311.02099 #2 · arxiv_oai · confidence 0.70 Nikos Arechiga
  • 2407.08067 #2 · arxiv_oai · confidence 0.70 Nikos Arechiga
  • 2406.11934 #5 · arxiv_oai · confidence 0.70 Nikos Arechiga
  • 2403.20252 #6 · arxiv_oai · confidence 0.70 Nikos Arechiga
  • 2308.15700 #6 · arxiv_oai · confidence 0.70 Nikos Arechiga
  • 2306.09935 #1 · arxiv_oai · confidence 0.70 Nikos Arechiga
  • 2306.06110 #4 · arxiv_oai · confidence 0.70 Nikos Arechiga
  • 2212.05588 #7 · arxiv_oai · confidence 0.70 Nikos Arechiga
  • 2205.02329 #3 · arxiv_oai · confidence 0.70 Nikos Arechiga
  • 2202.08963 #1 · arxiv_oai · confidence 0.70 Nikos Arechiga
  • 2201.05797 #2 · arxiv_oai · confidence 0.70 Nikos Arechiga
  • 2112.04023 #1 · arxiv_oai · confidence 0.70 Nikos Arechiga
  • 1507.05133 #1 · arxiv_oai · confidence 0.70 Nikos Arechiga
  • 2104.06178 #9 · arxiv_oai · confidence 0.70 Nikos Arechiga
  • 2006.15766 #4 · arxiv_oai · confidence 0.70 Nikos Arechiga
  • 1906.07413 #4 · arxiv_oai · confidence 0.70 Nikos Arechiga
  • 1909.06965 #1 · arxiv_oai · confidence 0.70 Nikos Arechiga

Frequent Coauthors