17th Granada Seminar

Machine Learning and Physics: Quantum, Classical and Applications.

PROGRAM

Click here to download the program

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TUESDAY
SEP 12

8:00

Registration

8:45

Opening

Chair: M.A. Muñoz

9:00 to 9:50

Yuhai Tu

IBM Watson Research Center

Stochastic learning dynamics and generalization in neural networks: A statistical physics approach for understanding deep learning

9:50 to 10:15

M. Ruiz-Garcia

Universidad Complutense de Madrid

Out-of-equilibrium machine learning: Dynamical loss functions and catastrophic forgetting

10:15 to 10:40

Soon Hoe Lim

Nordita, KTH Royal Institute of Technology and Stockholm University

Noisy Recurrent Neural Networks

10:40 to 11:10

Coffee break / Poster Session

11:10 to 12:00

Pankaj Mehta

Boston University

Why can we learn with so many parameters? The geometry and statistical physics of overparameterization

12:00 to 12:25

B. Requena

ICFO – Institut de Ciències Fotòniques,
The Barcelona Institute of Science and Technology

Inferring pointwise diffusion properties of single trajectories with deep learning

12:25 to 12:50

A. Bermades

Universidade Federal de Ouro Preto

ON THE FRACTAL PATTERNS OF LANGUAGE STRUCTURES

12:50 to 13:15

A. Chiatto

University of Naples Federico II

Training Circuit-based Quantum Classifiers through Memetic
Algorithms

Chair: J.J. Torres

15:30 to 16:20

H.J. Happen

Radbout Universiteit

Why adiabatic quantum annealing is unlikely to yield speed-up

16:20 to 16:45

P. Calvo-Barlés

Instituto de Nanociencia y Materiales de Aragón (INMA),
CSIC-Universidad de Zaragoza

Finding discrete symmetry groups via Deep Learning

16:45 to 17:10

Q. Yao

Columbia University

Inference of Disease Dispersion Rates of a Branching Model with Spatial and Temporal Information using GNN

17:10 to 17:30

Poster Session

17:30 to 17:55

G. Fernández-F

ICFO – Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology

Extracting Relevant Physical Parameters from Stochastic Trajectories with Variational Autoencoders

17:55 to 18:20

P. Rosillo-Rodes

Institute for Cross-Disciplinary Physics and Complex Systems IFISC (UIB-CSIC)

Lexical differentiation of flamenco genres using machine learning

18:20 to 18:45

P. Korcyl

Institute of Applied Computer Science, Jagiellonian University

Mutual information in the Ising model from autoregressive neural networks

WEDN
SEP 13

Chair: P.I. Hurtado

9:00 to 9:50

Ludovic Berthier

Université de Montpellier

Machine learning glasses

9:50 to 10:15

G. Valentini

University of Milan

An algorithmic framework for heterogeneous multigraph
embedding

10:15 to 10:40

A. Banerjee

Max Planck Institute for Polymer Research

Data-driven identification and analysis of the glass transition in polymer melts

10:40 to 11:10

Coffee break / Poster Session

11:10 to 12:00

Juan P. Garrahan

University of Nottingham

Trajectory ensembles and Machine Learning

12:00 to 12:25

J.J. Bermejo-Vega

Universidad de Granada

How to analyze hate networks in social media with machine
learning and statistical physics

12:25 to 12:50

A. Prat Pou

Universitat Politècnica de Catalunya

Efficient Evaluation of the Partition Function of Restricted Boltzmann Machines with Annealed Importance Sampling

12:50 to 13:15

D. Valle

Universidad Rey Juan Carlos

Deep Learning-based Analysis of Basins of Attraction

13:15 to 13:40

G. Barrios

Universidad de Granada

Optimal representations in neural systems at the edge of chaos

Chair: S. di Santo

15:30 to 16:20

Adi Makmal

Institute for Theoretical Physics
University of Innsbruck

Qubit-efficient variational quantum algorithms

16:20 to 16:45

Gilhan Kim

Seoul National University

Tradeoff in Unsupervised Learning: Interplay of Model Error and Data Error

16:45 to 17:10

P. Villegas

Centro Ricerche Enrico Fermi

Laplacian Renormalization Group: A ’zoom lens’ for networks

17:10 to 17:30

Poster Session

17:30 to 17:55

J.M. Tucny

Università degli Studi Roma Tre

Learning of viscosity functions in rarefied gas flows with
physics-informed neural networks

17:55 to 18:20

A. Doliwa

University of Warmia and Mazury

SPECTRAL QUANTIZATION OF DISCRETE RANDOM WALKS ON HALF-LINE, AND ORTHOGONAL POLYNOMIALS ON THE UNIT CIRCLE

18:20 to 18:45

L. Valkunas

Vilnius University

Femtosecond and picosecond excitation dynamics in FCP
complexes: results from 2D spectroscopy and streak-camera measurements

THURSDAY
SEP 14

Chair: M. Skotiniotis

9:00 to 9:50

K. Birgitta Whaley

University of California (Berkeley)

Interplay between machine learning and quantum computing

9:50 to 10:15

D. Manzano

Universidad de Granada

Autonomous Approach for Quantum Entanglement Detection and
Classification Using Multi-Layer Perceptrons

10:15 to 10:40

A. Sannia

Institute for Cross-Disciplinary Physics and Complex Systems (IFISC) UIB-CSIC

Engineered dissipation to mitigate barren plateaus

10:40 to 11:10

Coffee break / Poster Session

11:10 to 12:00

G.G. Guerreschi

Intel

Realization of quantum neural networks using repeat-until-success circuits

12:00 to 12:25

S. Roca-Jerat

Instituto de Nanociencia y Materiales de Aragón (CSIC – Universidad de Zaragoza)

QUANTUM MACHINE LEARNING WITH QUDITS

12:25 to 12:50

V. Kuzmin

Institute for Theoretical Physics

Optimizing Variational Quantum Circuits using Gaussian Process Surrogate Modeling with Trigonometric Kernels

12:50 to 13:15

G. Escrig Mas

Universidad Complutense de Madrid

Parameter estimation of gravitational waves with a quantum
metropolis algorithm

13:15 to 13:40

D. Rose

University College London

Reinforcement learning for rare trajectories in stochastic systems

Chair: C.P. Espigares

15:30 to 16:20

V. Martín Mayor

Universidad Complutense de Madrid

Quantum spin glasses on the GPU

16:20 to 16:45

A. Ferrer-Sánchez

University of Valencia

Gradient-Annihilated PINNs for Solving Riemann Problems:
Application to Relativistic Hydrodynamics

16:45 to 17:10

J. Borondo

Universidad Pontificia de Comillas

Anticipating food price crises by reservoir computing and
quantum reservoir computing

17:10 to 17:30

Poster Session

17:30 to 17:55

P. Lipka-Bartosik

University of Geneva

Thermal Neuron: Computation via Heat Flows

17:55 to 18:20

I. Fernández-Iriondo

University of the Basque Country

Brain Mapping of Behavioral Domains Using Multi-Scale
Networks and Canonical Correlation Analysis

18:20 to 18:45

J. García Condado

Biocurcs-Bizkaia HRI, UPV/EHU

NeuropsychBrainAge: a biomarker for conversion from mild
cognitive impairment to Alzheimer’s disease

19:30

Visit Albaycin & Sacromonte

21:00

Gala Dinner

FRIDAY
SEP 15

Chair: D. Manzano

9:00 to 9:50

Seth Lloyd

MIT

Advances in quantum machine learning

9:50 to 10:15

R. Campos

Universidad Complutense de Madrid

Quantum Metropolis Solver: A Quantum Walks Approach to
Optimization Problems

10:15 to 10:40

M. Krumm

University of Innsbruck

Reinforcement learning via single-photon quantum walks, and perspectives on explainable quantum machine learning

10:40 to 11:10

Coffee break / Poster Session

11:10 to 12:00

Lucas Lamata

Universidad de Sevilla

Quantum Reinforcement Learning with Quantum Technologies

12:00 to 12:25

J.J. Torres

Universidad de Granada

Building a Quantum Synapse Paradigm

12:25 to 12:50

Y. Kuriatnikov

TU WIEN ATOMINSTITUT

OPTIMIZING OPTICAL POTENTIALS WITH
PHYSICS-INSPIRED LEARNING ALGORITHMS

12:50 to 13:15

M. Garcia de Andoin

University of the Basque Country UPV/EHU

HYBRID QUANTUM-CLASSICAL SEARCH SPACE REDUCTION HEURISTIC FOR OPTIMIZATION

13:15 to 13:40

M. Skotiniotis

Universidad de Granada

Universal algorithms for quantum data learning

Farewell