output
20072025
most citedLearning how to explain neural networks: PatternNet and PatternAttribution

290 citations

53 papers

cs.CL2025

AMO-Bench: Large Language Models Still Struggle in High School Math Competitions

Shengnan An, Xunliang Cai, Xuezhi Cao +8

We present AMO-Bench, an Advanced Mathematical reasoning benchmark with Olympiad level or even higher difficulty, comprising 50 human-crafted problems. Existing benchmarks have wid…

quant-ph2023★ 72 cited

NISQ Computers: A Path to Quantum Supremacy

Muhammad AbuGhanem, Hichem Eleuch

The quest for quantum advantage, wherein quantum computers surpass the computational capabilities of classical computers executing state-of-the-art algorithms on well-defined tasks…

stat.ME2022★ 1 cited

Model-Twin Randomization (MoTR) for Estimating the Recurring Individual Treatment Effect

Eric J. Daza, Igor Matias, Logan Schneider

Temporally dense single-person "small data" have become widely available thanks to mobile apps and wearable sensors. Many caregivers and self-trackers want to use these data to hel…

cs.RO2021

Efficient Map Prediction via Low-Rank Matrix Completion

Zheng Chen, Shi Bai, Lantao Liu

In many autonomous mapping tasks, the maps cannot be accurately constructed due to various reasons such as sparse, noisy, and partial sensor measurements. We propose a novel map pr…

cs.LG2021★ 21 cited

Adapting to Misspecification in Contextual Bandits

Dylan J. Foster, Claudio Gentile, Mehryar Mohri +1

A major research direction in contextual bandits is to develop algorithms that are computationally efficient, yet support flexible, general-purpose function approximation. Algorith…

cond-mat.str-el2021★ 12 cited

Universal information of critical quantum spin chains from wavefunction overlaps

Yijian Zou

Given a critical quantum spin chain, we show how universal information about its quantum critical point can be extracted from wavefunction overlaps. More specifically, we consider…