Research

  1. SANEval: Open-Vocabulary Compositional Benchmarks with Failure-mode Diagnosis

    A benchmark for compositional accuracy in generated visual media.

    PaperNeurIPS
  2. SHARe-KAN: Post-Training Vector Quantization for Cache-Resident KAN Inference

    Compressing pre-trained Kolmogorov-Arnold networks for inference on memory-constrained hardware, without retraining.

    Paper
  3. PyTorch Distributed: Experiences on Accelerating Data Parallel Training

    Scaling PyTorch training across GPUs while reducing communication overhead.

    Paper