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Christopher Pal

Identifiers

  • name variant Christopher Pal 0.60 · backfill

Papers (28)

  1. Mem-$\pi$: Adaptive Memory through Learning When and What to Generate cs.CL · 2026 · author #4
  2. Generative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards cs.CL · 2026 · author #8
  3. Do Enterprise Systems Need Learned World Models? The Importance of Context to Infer Dynamics cs.AI · 2026 · author #15
  4. The Alien Space of Science: Sampling Coherent but Cognitively Unavailable Research Directions cs.AI · 2026 · author #6
  5. AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone? cs.AI · 2025 · author #6
  6. SelvaBox: A high-resolution dataset for tropical tree crown detection cs.CV · 2025 · author #7
  7. Distilling Specialized Orders for Visual Generation cs.CV · 2025 · author #7
  8. Towards Understanding Generalization in Gradient-Based Meta-Learning cs.LG · 2019 · author #3
  9. Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments cs.LG · 2019 · author #2
  10. Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study cs.CL · 2019 · author #3
  11. A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms cs.LG · 2019 · author #8
  12. Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks cs.LG · 2019 · author #6
  13. Unsupervised Depth Estimation, 3D Face Rotation and Replacement cs.CV · 2018 · author #5
  14. Improving Landmark Localization with Semi-Supervised Learning cs.CV · 2017 · author #5
  15. A step towards procedural terrain generation with GANs stat.ML · 2017 · author #2
  16. Adversarial Generation of Natural Language cs.CL · 2017 · author #4
  17. Unimodal probability distributions for deep ordinal classification stat.ML · 2017 · author #2
  18. ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events cs.CV · 2016 · author #6
  19. A simple squared-error reformulation for ordinal classification stat.ML · 2016 · author #2
  20. A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering cs.CV · 2016 · author #5
  21. Convolutional Residual Memory Networks cs.CV · 2016 · author #2
  22. Movie Description cs.CV · 2016 · author #5
  23. Theano: A Python framework for fast computation of mathematical expressions cs.SC · 2016 · author #77
  24. Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation cs.CV · 2015 · author #4
  25. Recurrent Semi-supervised Classification and Constrained Adversarial Generation with Motion Capture Data cs.CV · 2015 · author #4
  26. EmoNets: Multimodal deep learning approaches for emotion recognition in video cs.LG · 2015 · author #17
  27. Using Descriptive Video Services to Create a Large Data Source for Video Annotation Research cs.CV · 2015 · author #2
  28. Describing Videos by Exploiting Temporal Structure stat.ML · 2015 · author #5

Mentions

  • 2605.21463 #4 · arxiv_oai · confidence 0.70 Christopher Pal
  • 2603.01092 #6 · arxiv_oai · confidence 0.70 Christopher Pal

Frequent Coauthors