Aleksander Mądry

About Aleksander Mądry

Aleksander Mądry, With an exceptional h-index of 44 and a recent h-index of 41 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Machine Learning, Theoretical Computer Science.

His recent articles reflect a diverse array of research interests and contributions to the field:

Decomposing and Editing Predictions by Modeling Model Computation

Ask Your Distribution Shift if Pre-Training is Right for You

DsDm: Model-Aware Dataset Selection with Datamodels

Extra Training Provides a Strong Baseline for CLIP

The journey, not the destination: How data guides diffusion models

Better than Balancing: Debiasing through Data Attribution

Model metamers reveal divergent invariances between biological and artificial neural networks

Your CLIP Model Might Be Undertrained

Aleksander Mądry Information

University

Position

___

Citations(all)

26181

Citations(since 2020)

24474

Cited By

8721

hIndex(all)

44

hIndex(since 2020)

41

i10Index(all)

69

i10Index(since 2020)

64

Email

University Profile Page

Google Scholar

Aleksander Mądry Skills & Research Interests

Machine Learning

Theoretical Computer Science

Top articles of Aleksander Mądry

Decomposing and Editing Predictions by Modeling Model Computation

arXiv preprint arXiv:2404.11534

2024/4/17

Ask Your Distribution Shift if Pre-Training is Right for You

arXiv preprint arXiv:2403.00194

2024/2/29

DsDm: Model-Aware Dataset Selection with Datamodels

arXiv preprint arXiv:2401.12926

2024/1/23

Extra Training Provides a Strong Baseline for CLIP

2023/12/12

The journey, not the destination: How data guides diffusion models

arXiv preprint arXiv:2312.06205

2023/12/11

Better than Balancing: Debiasing through Data Attribution

2023/12/7

Model metamers reveal divergent invariances between biological and artificial neural networks

Nature Neuroscience

2023/11

Aleksander Mądry
Aleksander Mądry

H-Index: 30

Your CLIP Model Might Be Undertrained

2023/10/13

What Works in Chest X-Ray Classification? A Case Study of Design Choices

2023/7/19

Modeldiff: A framework for comparing learning algorithms

2023/7/3

A User-Driven Framework for Regulating and Auditing Social Media

arXiv preprint arXiv:2304.10525

2023/4/20

AI Supply Chains

2023/4/3

Trak: Attributing model behavior at scale

arXiv preprint arXiv:2303.14186

2023/3/24

Dataset interfaces: Diagnosing model failures using controllable counterfactual generation

arXiv preprint arXiv:2302.07865

2023/2/15

Raising the cost of malicious ai-powered image editing

arXiv preprint arXiv:2302.06588

2023/2/13

Jointly Embedding Protein Structures and Sequences through Residue Level Alignment

Machine Learning for Structural Biology Workshop, NeurIPS

2023

Measuring Strategization in Recommendation: Users Adapt Their Behavior to Shape Future Content

Preprint

2023

FFCV: Accelerating training by removing data bottlenecks

2023

A data-based perspective on transfer learning

2023

See List of Professors in Aleksander Mądry University(Massachusetts Institute of Technology)

Co-Authors

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