AINewsnow

Causal Integrated Gradients: Scalable Feature Attribution Along Causal Paths

arXiv:2610.22126v1 Announce Type: cross Abstract: Existing feature attribution methods that account for feature dependencies do not scale to high dimensions. We propose causal integrated gradients (CIG) and causal expected gradients (CEG), which extend integrated gradients to incorporate prior caus…

Read the full story at arXiv stat.ML ↗

Timeline · 1 report

  1. 2026-10-19 04:00 · arXiv stat.ML
    Causal Integrated Gradients: Scalable Feature Attribution Along Causal Paths

More stories

  1. Anthropic commits billions to a 'public benefit fund' — Business Insider AI
  2. DeepSeek V4.1 Flash 1017 now available on AI Gateway — Vercel Blog
  3. This is the new ChatGPT Voice, powered by GPT Live — OpenAI YouTube
  4. Intel unveils its GPU D-series for data centers, featuring up to 480GB of LPDDR5X memory, an unusually large capacity to support demanding inference workloads — Techmeme
  5. Sam Altman's World launches a World ID verification suite for banks, bundling tools to verify human and agent identities, its first industry-specific offering — Techmeme
  6. Community evaluates Qwen 3.8 Flash Next performance and quantization trade-offs — r/LocalLLaMA
  7. Anthropic proposes AI safety bill with high-risk thresholds and federal preemption — Politico Technology
  8. AI Gateway logs now show session affinity — Vercel Blog

Get the daily brief of stories like this at 6:30 every morning →