What is he best known for?
The fields of study Riccardo Zecchina is best known for:
- Statistics
- Gene
- Quantum mechanics
Much of his study explores Statistics relationship to Statistical inference and Cluster analysis.
Artificial intelligence is intertwined with Inference, Probabilistic logic and Cluster analysis in his research.
In his papers, he integrates diverse fields, such as Quantum mechanics and Symmetry breaking.
He carries out multidisciplinary research, doing studies in Statistical physics and Condensed matter physics.
He integrates several fields in his works, including Condensed matter physics and Ising model.
Riccardo Zecchina incorporates Ising model and Statistical physics in his research.
Combinatorics is often connected to Boolean function in his work.
Riccardo Zecchina combines topics linked to Combinatorics with his work on Boolean function.
Riccardo Zecchina performs integrative study on Algorithm and Machine learning.
His most cited work include:
- Protein 3D Structure Computed from Evolutionary Sequence Variation (987 citations)
- Analytic and Algorithmic Solution of Random Satisfiability Problems (924 citations)
- Determining computational complexity from characteristic ‘phase transitions’ (695 citations)
What are the main themes of his work throughout his whole career to date
His Statistical physics research incorporates Quantum mechanics and Statistical mechanics.
In his work, Riccardo Zecchina performs multidisciplinary research in Quantum mechanics and Statistical physics.
He integrates Artificial intelligence and Artificial neural network in his studies.
He performs multidisciplinary study on Algorithm and Theoretical computer science in his works.
His study deals with a combination of Theoretical computer science and Artificial intelligence.
He integrates several fields in his works, including Mathematical analysis and Geometry.
In his research, he undertakes multidisciplinary study on Geometry and Mathematical analysis.
With his scientific publications, his incorporates both Statistics and Algorithm.
He integrates Mathematical optimization and Applied mathematics in his studies.
Riccardo Zecchina most often published in these fields:
- Artificial intelligence (43.52%)
- Algorithm (43.52%)
- Statistical physics (39.81%)
What were the highlights of his more recent work (between 2017-2021)?
- Mathematical analysis (85.71%)
- Algorithm (71.43%)
- Artificial intelligence (71.43%)
In recent works Riccardo Zecchina was focusing on the following fields of study:
His Epistemology study typically links adjacent topics like Simple (philosophy) and Generalization.
He frequently studies issues relating to Epistemology and Simple (philosophy).
His Mathematical analysis research extends to the thematically linked field of Generalization.
Mathematical analysis and Unit sphere are commonly linked in his work.
In the subject of Programming language, Riccardo Zecchina integrates adjacent scientific disciplines such as Set (abstract data type) and Cluster (spacecraft).
Set (abstract data type) is closely attributed to Programming language in his research.
Riccardo Zecchina connects relevant research areas such as Unit sphere and Topology (electrical circuits) in the domain of Combinatorics.
His Topology (electrical circuits) study frequently intersects with other fields, such as Combinatorics.
Riccardo Zecchina is involved in relevant fields of research such as Regular polygon and Constraint (computer-aided design) in the realm of Geometry.
Between 2017 and 2021, his most popular works were:
- Entropy-SGD: biasing gradient descent into wide valleys (114 citations)
- Shaping the learning landscape in neural networks around wide flat minima (38 citations)
- Properties of the Geometry of Solutions and Capacity of Multilayer Neural Networks with Rectified Linear Unit Activations (26 citations)
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