IRIS
BALDASSI, CARLO
 Distribuzione geografica
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Continente #
EU - Europa 552
AS - Asia 245
NA - Nord America 173
SA - Sud America 7
AF - Africa 5
OC - Oceania 5
Continente sconosciuto - Info sul continente non disponibili 1
Totale 988
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Nazione #
IT - Italia 280
US - Stati Uniti d'America 169
CN - Cina 166
IE - Irlanda 127
FR - Francia 39
VN - Vietnam 27
GB - Regno Unito 17
JP - Giappone 17
NL - Olanda 15
RU - Federazione Russa 13
HK - Hong Kong 11
UA - Ucraina 9
DE - Germania 8
IL - Israele 8
CZ - Repubblica Ceca 7
BR - Brasile 6
AU - Australia 5
CH - Svizzera 5
PT - Portogallo 5
BE - Belgio 4
KR - Corea 4
ES - Italia 3
ID - Indonesia 3
LU - Lussemburgo 3
MD - Moldavia 3
SK - Slovacchia (Repubblica Slovacca) 3
BG - Bulgaria 2
CA - Canada 2
DZ - Algeria 2
FI - Finlandia 2
IR - Iran 2
MX - Messico 2
SA - Arabia Saudita 2
SE - Svezia 2
SG - Singapore 2
SI - Slovenia 2
AL - Albania 1
DK - Danimarca 1
EC - Ecuador 1
EU - Europa 1
KH - Cambogia 1
MA - Marocco 1
MY - Malesia 1
NG - Nigeria 1
NO - Norvegia 1
TR - Turchia 1
ZA - Sudafrica 1
Totale 988
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Città #
Dublin 127
Milan 108
Beijing 83
Rome 32
Dong Ket 22
Council Bluffs 10
Ashburn 9
Houston 9
Ann Arbor 8
Changsha 7
Columbus 7
Guangzhou 7
Tokyo 7
Paris 6
Bristol 5
Hanoi 5
Hong Kong 5
Mountain View 5
Rio de Janeiro 5
Xian 5
Cambridge 4
Due Carrare 4
Harbin 4
Lisbon 4
Melbourne 4
Shenyang 4
Southend 4
Trieste 4
Baotou 3
Boardman 3
Bratislava 3
Brussels 3
Chisinau 3
Como 3
Florence 3
Lincoln 3
Little Rock 3
London 3
Nashville 3
Seattle 3
Shanghai 3
Udine 3
Venice 3
Verona 3
Amsterdam 2
Appiano Gentile 2
Aversa 2
Brezovica pri Ljubljani 2
Cassino 2
Central 2
Chongqing 2
Cuauhtémoc 2
Dongguan 2
East Lansing 2
Gualtieri 2
Hangzhou 2
Helsinki 2
Kitahiroshima 2
Kunming 2
Lansing 2
Manchester 2
Martinez 2
Massy 2
Menlo Park 2
Nanchang 2
Novosibirsk 2
Nuremberg 2
Oakton 2
Pian Camuno 2
Princeton 2
Scuola 2
Shimosakunobe 2
Sofia 2
Suresnes 2
Tempe 2
Turin 2
Woodbridge 2
Wuhan 2
Zhengzhou 2
Zurich 2
Anchorage 1
Antrodoco 1
Aragona 1
Baza 1
Cairo Montenotte 1
Camerino 1
Central District 1
Cernusco sul Naviglio 1
Changchun 1
Chaoyang 1
Ciampino 1
Copenhagen 1
Crema 1
Deerfield 1
Emerson 1
Empoli 1
Fars 1
Forcoli 1
Frankfurt am Main 1
Gallarate 1
Totale 644
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Nome #
Entropic gradient descent algorithms and wide flat minima, file e31e10d4-4952-31fb-e053-1705fe0a5b99 195
Properties of the geometry of solutions and capacity of multilayer neural networks with rectified linear unit activations, file e31e10d3-b180-31fb-e053-1705fe0a5b99 170
Shaping the learning landscape in neural networks around wide flat minima, file e31e10d3-c296-31fb-e053-1705fe0a5b99 90
Wide flat minima and optimal generalization in classifying high-dimensional Gaussian mixtures, file e31e10d4-2fc6-31fb-e053-1705fe0a5b99 72
Unreasonable effectiveness of learning neural networks: from accessible states and robust ensembles to basic algorithmic schemes, file e31e10d4-5487-31fb-e053-1705fe0a5b99 69
Unveiling the Structure of Wide Flat Minima in Neural Networks, file e31e10d4-8af3-31fb-e053-1705fe0a5b99 59
Unreasonable effectiveness of learning neural networks: from accessible states and robust ensembles to basic algorithmic schemes, file e31e10d2-c898-31fb-e053-1705fe0a5b99 51
Local entropy as a measure for sampling solutions in constraint satisfaction problems, file e31e10d3-2a45-31fb-e053-1705fe0a5b99 45
Role of synaptic stochasticity in training low-precision neural networks, file e31e10d3-4b57-31fb-e053-1705fe0a5b99 45
Fast and accurate multivariate Gaussian modeling of protein families: predicting residue contacts and protein-interaction partners, file e31e10d2-c6bb-31fb-e053-1705fe0a5b99 38
Systematically and efficiently improving k-means initialization by pairwise-nearest-neighbor smoothing, file f05ed1be-fbea-4e5d-b98e-3ab8bcd33ed0 34
Shaping the learning landscape in neural networks around wide flat minima, file e31e10d4-5b72-31fb-e053-1705fe0a5b99 31
Quantum approximate optimization algorithm applied to the binary perceptron, file bc7af5df-0e97-4178-8654-2c57a5605e54 29
Subdominant dense clusters allow for simple learning and high computational performance in neural networks with discrete synapses, file e31e10d2-bf07-31fb-e053-1705fe0a5b99 20
A behavioral characterization of the Drift Diffusion Model and its multi-alternative extension for choice under time pressure, file e31e10d3-c853-31fb-e053-1705fe0a5b99 7
Entropic gradient descent algorithms and wide flat minima, file e31e10d4-84b8-31fb-e053-1705fe0a5b99 6
A behavioral characterization of the Drift Diffusion Model and its multi-alternative extension for choice under time pressure, file e31e10d3-c729-31fb-e053-1705fe0a5b99 5
Generalization learning in a perceptron with binary synapses, file e31e10d2-c78b-31fb-e053-1705fe0a5b99 4
From inverse problems to learning: a statistical mechanics approach, file e31e10d3-216d-31fb-e053-1705fe0a5b99 3
From statistical inference to a differential learning rule for stochastic neural networks, file e31e10d3-5dc3-31fb-e053-1705fe0a5b99 3
A method to reduce the rejection rate in Monte Carlo Markov chains, file e31e10d2-bc3e-31fb-e053-1705fe0a5b99 2
RNAs competing for microRNAs mutually influence their fluctuations in a highly non-linear microRNA-dependent manner in single cells, file e31e10d2-be13-31fb-e053-1705fe0a5b99 2
Shape similarity, better than semantic membership, accounts for the structure of visual object representations in a population of monkey inferotemporal neurons, file e31e10d2-c6f0-31fb-e053-1705fe0a5b99 2
Entropy-SGD: biasing gradient descent into wide valleys, file e31e10d3-c52a-31fb-e053-1705fe0a5b99 2
Typical and atypical solutions in nonconvex neural networks with discrete and continuous weights, file 4cac9789-fd14-4a54-b043-d1806ea03dbf 1
Recombinator-k-means: an evolutionary algorithm that exploits k-means++ for recombination, file 6a149ddd-c459-47e4-8136-b4f407f1ed18 1
Deep networks on toroids: removing symmetries reveals the structure of flat regions in the landscape geometry, file d181f8a1-a77c-4c69-9cd0-fdf1dae166ac 1
A Max-Sum algorithm for training discrete neural networks, file e31e10d2-bf05-31fb-e053-1705fe0a5b99 1
Learning may need only a few bits of synaptic precision, file e31e10d2-bf62-31fb-e053-1705fe0a5b99 1
Efficient supervised learning in networks with binary synapses, file e31e10d2-c08e-31fb-e053-1705fe0a5b99 1
A three-threshold learning rule approaches the maximal capacity of recurrent neural networks, file e31e10d2-c61d-31fb-e053-1705fe0a5b99 1
Simultaneous identification of specifically interacting paralogs and interprotein contacts by direct coupling analysis, file e31e10d2-c896-31fb-e053-1705fe0a5b99 1
Totale 992
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Categoria #
all - tutte 2.261
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 2.261
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/202074 1 0 0 0 3 10 14 14 8 5 8 11
2020/2021110 9 5 3 11 20 9 13 5 13 5 4 13
2021/2022167 13 3 9 17 23 16 21 19 20 6 16 4
2022/2023309 6 5 7 8 14 15 22 9 151 19 31 22
2023/2024306 30 14 13 12 27 18 56 59 36 22 19 0
Totale 992