Neil Band
Scholar

Neil Band

Google Scholar ID: 2Dab2vkAAAAJ
Stanford University
machine learning
Citations & Impact
All-time
Citations
975
 
H-index
10
 
i10-index
10
 
Publications
11
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • ICLR 2025 (Oral, top 1.8%): 'Synthetic Continued Pretraining' – a graph-based synthetic data generation and continued pretraining approach
  • ICML 2024: 'Linguistic Calibration of Long-Form Generations' – an alignment objective for calibrated confidence in long-form outputs
  • NeurIPS 2021 Datasets and Benchmarks Track (Spotlight, top 4.6%): 'Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks' – open-source expert-guided benchmark suite
  • NeurIPS 2021: 'Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks' – industry-scale robustness and uncertainty evaluation tasks
  • NeurIPS 2021: 'Self-Attention Between Datapoints' – a novel architecture processing entire datasets via self-attention across datapoints
  • arXiv 2025 preprint: 'Reasoning to Learn from Latent Thoughts' – bootstrapping LM capabilities by inferring latent thoughts in pretraining documents