Joint Modeling Predicts New Drugs in Nature: AI Maps a Billion‑Molecule Chemical Frontier

The article presents a joint molecular model that combines property prediction with molecule reconstruction, introduces a "strangeness" metric to detect distribution shift, validates it on 33 datasets, applies it to a 140k virtual screen, and experimentally discovers seven highly novel kinase inhibitors.

AI drug discoverydistribution shiftjoint molecular model

0 likes · 7 min read

Joint Modeling Predicts New Drugs in Nature: AI Maps a Billion‑Molecule Chemical Frontier

Data Party THU

Apr 6, 2026 · Fundamentals

How Energy Distance Detects Distribution Shifts Between Training and Test Sets

Energy Distance is a statistical metric that quantifies the separation between two probability distributions by comparing cross‑distribution and within‑distribution Euclidean distances, enabling detection of data drift, covariate shift, and other multivariate distribution changes, especially when combined with permutation testing for statistical significance.

Energy Distancedata driftdistribution shift

0 likes · 7 min read

How Energy Distance Detects Distribution Shifts Between Training and Test Sets

Bighead's Algorithm Notes

Feb 13, 2026 · Artificial Intelligence

How ReVol’s Return‑Volatility Normalization Reduces Distribution Shift in Stock Price Prediction

The paper introduces ReVol, a three‑stage framework that normalizes price features, uses an attention‑based estimator to recover return and volatility, and denormalizes predictions, demonstrating consistent improvements of over 0.03 in IC and 0.7 in Sharpe ratio across multiple time‑series models.

Deep LearningFinancial AIattention estimator

0 likes · 15 min read

How ReVol’s Return‑Volatility Normalization Reduces Distribution Shift in Stock Price Prediction

Alimama Tech

Jun 28, 2023 · Artificial Intelligence

Historical Data Reuse for Precise CVR Prediction during E‑commerce Promotions

Alibaba’s Advertising Ranking team introduced the Historical Data Reuse (HDR) algorithm, which automatically selects similar past promotion days, fine‑tunes the production CVR model with a TransBlock layer and distribution‑correction weighting, delivering up to 10 % AUC gains and double‑digit RPM, CVR, and ROI improvements during the 2022 Double‑11 event and offering a reusable solution for other domains facing abrupt user‑behavior shifts.

conversion rate predictiondistribution shifthistorical data reuse

0 likes · 30 min read

Historical Data Reuse for Precise CVR Prediction during E‑commerce Promotions