Don't miss the chance to meet an incredible lineup of keynote and lecture speakers in the heart of Istanbul! Submit your abstracts before the deadline: July 14, 2024. NODDS Lab Kadir Has Üniversitesi Learn more: physcon2024.khas.edu.tr #PhysCon2024

Dinner with friends during the Worshop on Complexity and Data Science, in São Carlos. With Yamir Moreno , Thomas Peron and Guilherme F. de Arruda.

I'm excited to share my new paper on DMFT! arxiv.org/abs/2406.06346 I derive an elegant solution for the dynamics of sparse and heterogeneous complex systems. Neural networks, epidemic spreading, Lotka-Volterra, all handled by a single equation! #ComplexSystems #NetworkScience

It was great to have dinner with my Brazilian friend in São Paulo this evening, learning all about life in Brazil and discussing future work together. Thank you Thomas Peron 🇧🇷

My first preprint as a solo-author is out and public on the ArXiV!! arxiv.org/abs/2407.02416 🥳 Here I develop a new method to deal with stochastic coupled oscillators, allowing one to easily obtain any fluctuations and finite-size effects, even analytically! Thread! 🧵

Our review "Contagion dynamics on higher-order networks" is out in Nature Reviews Physics (rdcu.be/dMQiv). We review the literature on the topic and take the opportunity to propose a unified formalism covering most of the functional forms used for the spreading dynamics (1/2).

Our paper "Regression Trees for Fast and Adaptive Prediction Intervals," co-authored with Luben Miguel, @mpotto1 and Rafael Stern, is now published in Information Sciences! 🎉 We introduce Locart and Loforest to calibrate prediction intervals for regression with coverage guarantees. +

#PhysCon2024 - The program and social events are now live at physcon2024.khas.edu.tr. Unforgettable scientific and social moments are on the way! It’s not too late to grab your spot! The basin of attraction is attached from our university museum! Kadir Has Üniversitesi NODDS Lab

Our paper doi.org/10.1088/1742-5… with 2 perspective: evolutionary biology, phenotypic robustness emerging from dynamic genotype-phenotype map; Hopfield-networks: the network tries to retrieve dynamic patterns that in turn shaped by the network structure in the previous iteration

We are releasing DOCES (Dynamical Opinion Clusters Exploration Suite), a new Python library for studying opinion dynamics. Designed to simulate social network interactions, it allows you to model different features of social networks. Check it out at pypi.org/project/doces/

Just out in Physical Review E: journals.aps.org/pre/abstract/1… Many thanks to coauthors Tuan Minh Pham and Fernando!

"Statistical Laws in Complex Systems: Combining Mechanistic Models and Data Analysis", my 150p monograph written at Sydney Mathematics and Statistics and MPI-PKS Dresden is now published by Springer Nature: Electronic/print: link.springer.com/book/10.1007/9… ask me for e-copies or arxiv.org/abs/2407.19874 A thread:

🕮 New Book Release! 😀 Happy to share my new book, Machine Learning Beyond Point Predictions: Uncertainty Quantification. Tools to tackle aleatoric & epistemic uncertainties in AI. +

A generalized dynamical mean-field theory allows computation of the phase diagram of sparse and heterogeneous networks go.aps.org/3PT1Amw

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Now out: "A machine learning approach to predicting dynamical observables from network structure" (royalsocietypublishing.org/doi/10.1098/rs…). Here we use ML techniques to predict dynamic outcomes of networked systems using their structural properties. Kudos to Francisco Rodrigues Thomas Peron et al.

Together with Albert and Karel Proesmans, we show how irreversible a neural network is in terms of its dissipation rate and how optimal information processing at the edge of chaos is related to this robust energy expenditure iopscience.iop.org/article/10.108…

Cosnet Lab - 2, May 2025.

If you’re working in Network Dynamics and interested in Power Grids or Climate Science, I’d be happy to host you for a postdoc at Kadir Has University Kadir Has Üniversitesi, Istanbul via the 2236-A CoCirculation3 call funded by TÜBİTAK & Horizon Europe 🇪🇺 MSCA-COFUND! Details in next post!

XI WPSM – Workshop on Probabilistic and Statistical Methods. 25–27 Feb 2026 UFSCar #UniversidadeEuDefendo – São Carlos/SP 🔹 7 plenary talks 🔹 2 mini-conferences 🔹 Minicourse: Neural Nets with PyTorch 🔹 Special sessions on Complex Networks & Probability 🔗 wpsm.icmc.usp.br