Leaderboards/Machine Learning and Algorithms

Machine Learning and Algorithms

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Laura von Rueden
Fraunhofer Institute for Intelligent Analysis and Information Systems
2
Zhuofan Zong
Beihang University
3
Petru Soviany
University of Bucharest
4
Görkem Algan
Middle East Technical University
5
Amina Adadi
Université Moulay Ismail de Meknes
6
Alejandro Flores-Velazco
University of Maryland, College Park
7
Qiaohao Liang
Massachusetts Institute of Technology
8
Lucas Zimmer
Munich Center for Machine Learning
9
Vu-Linh Nguyen
Université de Technologie de Compiègne
10
Kevin Maik Jablonka
École Polytechnique Fédérale de Lausanne

Rising Stars Papers

1
Leveraging large language models for predictive chemistry
Nature Machine Intelligence|2024
319 cit.
2
A framework for evaluating the chemical knowledge and reasoning abilities of large language models against the expertise of chemists
Nature Chemistry|2025
55 cit.
3
Probing the limitations of multimodal language models for chemistry and materials research
Nature Computational Science|2025
21 cit.
4
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching
Unknown Journal|2024
9 cit.
5
Credal ensembling in multi-class classification
Machine Learning|2025
6 cit.
6
Lessons from the trenches on evaluating machine learning systems in materials science
Computational Materials Science|2025
5 cit.
7
MoVA: Adapting Mixture of Vision Experts to Multimodal Context
Unknown Journal|2024
5 cit.
8
Modeling of pulse and relaxation of high-rate Li/CFx-SVO batteries in implantable medical devices
Journal of Power Sources|2024
3 cit.
9
Real AI advances require collaboration
Nature Reviews Chemistry|2025
3 cit.
10
PolyMetriX: an ecosystem for digital polymer chemistry
npj Computational Materials|2025
2 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Mohammed Elanbari
Sidra Medical and Research Center
2
Shuo Feng
Tsinghua University
3
Jannis Schuecker
Fraunhofer Institute for Machine Tools and Forming Technology
4
Ruihao Yuan
Northwestern Polytechnical University
5
Xinwei Ma
Hebei University of Technology
6
Stephan Mandt
Irvine University
7
Jack Dunn
Providence College
8
Tobias Schnabel
Hof University of Applied Sciences
9
Ehud Ben-Reuven
Hebrew University of Jerusalem
10
Ellen Vitercik
Carnegie Mellon University

Emerging Leaders Papers

1
Dense reinforcement learning for safety validation of autonomous vehicles
Nature|2023
507 cit.
2
Supervised Compression for Resource-Constrained Edge Computing Systems
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)|2022
75 cit.
3
Curse of rarity for autonomous vehicles
Nature Communications|2024
67 cit.
4
Machine learning combined with feature engineering to search for BaTiO3 based ceramics with large piezoelectric constant
Journal of Alloys and Compounds|2022
40 cit.
5
Applications of generative adversarial networks in materials science
Materials Genome Engineering Advances|2024
35 cit.
6
Computationally-Efficient Neural Image Compression with Shallow Decoders
Unknown Journal|2023
34 cit.
7
Optimizing Electrocaloric Effect in Barium Titanate-based Room Temperature Ferroelectrics: Combining Landau Theory, Machine Learning and Synthesis
Acta Materialia|2022
31 cit.
8
Recent progress on machine learning with limited materials data: Using tools from data science and domain knowledge
Journal of Materiomics|2024
24 cit.
9
Vehicle Lane-Changing scenario generation using time-series generative adversarial networks with an Adaptative parameter optimization strategy
Accident Analysis & Prevention|2024
21 cit.
10
<b>lpdensity</b>: Local Polynomial Density Estimation and Inference
Journal of Statistical Software|2022
20 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Robert E. Schapire
AT&T (United States)
2
Ruslan Salakhutdinov
Massachusetts Institute of Technology
3
Qiang Yang
Beijing Institute of Petrochemical Technology
4
Bernhard Schölkopf
Max Planck Society
5
Max Welling
University of California, Irvine
6
Tom M. Mitchell
Carnegie Mellon University
7
Manfred K. Warmuth
University of California, Santa Cruz
8
Yoram Singer
Greenwich Hospital
9
Michael I. Jordan
University of California, Berkeley
10
Robert C. Williamson
Australian National University

Current Senior Leaders Papers

1
Dropout: a simple way to prevent neural networks from overfitting
Unknown Journal|2014
34.3k cit.
2
Latent dirichlet allocation
Journal of Machine Learning Research|2003
27k cit.
3
A Survey on Transfer Learning
IEEE Transactions on Knowledge and Data Engineering|2009
23.2k cit.
4
Reducing the Dimensionality of Data with Neural Networks
Science|2006
21k cit.
5
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
Journal of Computer and System Sciences|1997
20.3k cit.
6
Maximum entropy modeling of species geographic distributions
Ecological Modelling|2005
17.7k cit.
7
Auto-Encoding Variational Bayes
UvA-DARE (University of Amsterdam)|2013
15.6k cit.
8
A tutorial on support vector regression
Statistics and Computing|2004
13k cit.
9
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
Unknown Journal|2010
8.6k cit.
10
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
Neural Computation|1998
8.1k cit.

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