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1Pragmatist Intelligence: Where the Principle of Usefulness Can Take ANNs
A. Bikić, and S. Mukherjee. (2024)
15 days ago by @scadsfct
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topic_mathfoundation
ANN
Intelligence;
Pragmatist
Usefulness;
topic_mathfoundationANNIntelligence;PragmatistUsefulness;
(0)
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1Global optimality of Elman-type RNNs in the mean-field regime
A. Agazzi, J. Lu, and S. Mukherjee. Proceedings of the 40th International Conference on Machine Learning, volume 202 of Proceedings of Machine Learning Research, page 196--227. PMLR, (23--29 Jul 2023)
15 days ago by @scadsfct
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topic_mathfoundation
Elman-type
Optimality,
mean-field
regime
{RNN}s,
topic_mathfoundationElman-typeOptimality,mean-fieldregime{RNN}s,
(0)
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1Neural network-assisted humanisation of COVID-19 hamster transcriptomic data reveals matching severity states in human disease
V. Friedrich, P. Pennitz, E. Wyler, J. Adler, D. Postmus, K. Müller, L. Teixeira Alves, J. Prigann, F. Pott, D. Vladimirova and 10 other author(s). eBioMedicine, (2024)
15 days ago by @scadsfct
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topic_mathfoundation
COVID-19,
Cross-species
Deep
Disease
Hamster
RNA-seq,
Single-cell
analysis,
learning
matching,
model,
state
topic_mathfoundationCOVID-19,Cross-speciesDeepDiseaseHamsterRNA-seq,Single-cellanalysis,learningmatching,model,state
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1SetQuence & SetOmic: Deep Set Transformer-based Representations of Cancer Multi-Omics
N. Jurenaite, D. León-Periñán, V. Donath, S. Torge, and R. Jäkel. 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), page 1-9. (August 2022)
a month ago by @scadsfct
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livinglab
topic_federatedlearn
topic_lifescience
livinglabtopic_federatedlearntopic_lifescience
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1SetQuence & SetOmic: Deep Set Transformers for Whole Genome and Exome Tumour Analysis
N. Jurenaite, D. León-Periñán, V. Donath, S. Torge, and R. Jäkel. BioSystems, (January 2024)
a month ago by @scadsfct
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livinglab
topic_federatedlearn
topic_lifescience
livinglabtopic_federatedlearntopic_lifescience
(0)
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1The Precise Complexity of Reasoning in $ALC$ with $ømega$-Admissible Concrete Domains (Extended Version)
S. Borgwardt, F. Bortoli, and P. Koopmann. (2024)
a month ago by @scadsfct
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imported
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(0)
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1Logics with Concrete Domains: First-Order Properties, Abstract Expressive Power, and (Un)Decidability
F. Baader, and F. De Bortoli. SIGAPP Appl. Comput. Rev., 24 (3): 5–17 (Oct 8, 2024)
a month ago by @scadsfct
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1Modelling Non-Stationarity in Asymptotically Independent Extremes
C. Murphy-Barltrop, and J. Wadsworth. Computational Statistics and Data Analysis, (November 2024)
a month ago by @scadsfct
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1The SPAR Model: A New Paradigm for Multivariate Extremes: Application to Joint Distributions of Metocean Variables
E. Mackay, C. Murphy-Barltrop, and P. Jonathan. Journal of Offshore Mechanics and Arctic Engineering, (July 2024)
a month ago by @scadsfct
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1Improving Estimation for Asymptotically Independent Bivariate Extremes via Global Estimators for the Angular Dependence Function
C. Murphy-Barltrop, J. Wadsworth, and E. Eastoe. Extremes, (Aug 13, 2024)
a month ago by @scadsfct
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2Benchmarking Large Language Models for Bio-Image Analysis Code Generation
R. Haase, C. Tischer, J. Heriche, and N. Scherf. (April 2024)
a month ago by @scadsfct
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unit_transfer
topic_neuroinspired
imported
unit_transfertopic_neuroinspiredimported
(0)
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1Efficient Raycasting of Volumetric Depth Images for Remote Visualization of Large Volumes at High Frame Rates
A. Gupta, U. Günther, P. Incardona, G. Reina, S. Frey, S. Gumhold, and I. Sbalzarini. 2023 IEEE 16th Pacific Visualization Symposium (PacificVis), 19, page 61�70. IEEE, (April 2023)
a month ago by @scadsfct
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topic_visualcomputing
topic_lifescience
imported
topic_visualcomputingtopic_lifescienceimported
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1Model-based autotuning of discretization methods in numerical simulations of partial differential equations
N. Khouzami, F. Michel, P. Incardona, J. Castrillon, and I. Sbalzarini. Journal of Computational Science, (January 2022)
a month ago by @scadsfct
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topic_software
topic_lifescience
imported
topic_softwaretopic_lifescienceimported
(0)
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1Roadmap on Deep Learning for Microscopy
G. Volpe, C. W�hlby, L. Tian, M. Hecht, A. Yakimovich, K. Monakhova, L. Waller, I. Sbalzarini, C. Metzler, M. Xie and 65 other author(s). (2023)
a month ago by @scadsfct
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imported
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1Chapter 5 - Artificial intelligence (AI) enhanced nanomotors and active matter
F. Cichos, S. Landin, and R. Pradip. Intelligent Nanotechnology, Elsevier, (2023)
a month ago by @scadsfct
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topic_physchemistry
Active
Feedback
Machine
Multi
Optical
Reinforcement
agent
control
control,
learning,
particles,
reinforcement
topic_physchemistryActiveFeedbackMachineMultiOpticalReinforcementagentcontrolcontrol,learning,particles,reinforcement
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1Revealing the learning process in reinforcement learning agents through attention-oriented metrics
C. Beylier, S. Hofmann, and N. Scherf. (2024)
a month ago by @scadsfct
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1Open Problem: Active Representation Learning
N. Milosevic, G. M�ller, J. Huisken, and N. Scherf. (2024)
a month ago by @scadsfct
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1Analysis of the Hamiltonian Monte Carlo genotyping algorithm on PROVEDIt mixtures including a novel precision benchmark
M. Susik, and I. Sbalzarini. Forensic Science International: Genetics, (2023)
a month ago by @scadsfct
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topic_lifescience
DNA
HMC
Probabilistic
Validation,
genotyping,
mixtures,
topic_lifescienceDNAHMCProbabilisticValidation,genotyping,mixtures,
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1Spontaneous flow instabilities of active polar fluids in three dimensions
A. Singh, Q. Vagne, F. Jülicher, and I. Sbalzarini. Phys. Rev. Res., 5 (2): L022061 (June 2023)
a month ago by @scadsfct
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1Computational Power of Particle Methods
J. Pahlke, and I. Sbalzarini. CoRR, (2023)
a month ago by @scadsfct
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imported
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(0)
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1Quantifying Molecular Dynamics within Complex Cellular Morphologies using LLSM?FRAP (Small Methods 6/2022)
H. Colin?York, J. Heddleston, E. Wait, N. Karedla, M. deSantis, S. Khuon, T. Chew, I. Sbalzarini, and M. Fritzsche. Small Methods, (June 2022)
a month ago by @scadsfct
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topic_lifescienceimported
(0)
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1A portable C++ library for memory and compute abstraction on multi?core CPUs and GPUs
P. Incardona, A. Gupta, S. Yaskovets, and I. Sbalzarini. Concurrency and Computation: Practice and Experience, (July 2023)
a month ago by @scadsfct
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(0)
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1STENCIL-NET for equation-free forecasting from data
S. Maddu, D. Sturm, B. Cheeseman, C. Müller, and I. Sbalzarini. Scientific Reports, (August 2023)
a month ago by @scadsfct
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(0)
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1A numerical solver for active hydrodynamics in three dimensions and its application to active turbulence
A. Singh, P. Suhrcke, P. Incardona, and I. Sbalzarini. Physics of Fluids, (October 2023)
a month ago by @scadsfct
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(0)
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1A Gaussian jump process formulation of the reaction�diffusion master equation enables faster exact stochastic simulations
T. Subic, and I. Sbalzarini. The Journal of Chemical Physics, (November 2022)
a month ago by @scadsfct
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imported
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(0)
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1A high-order fully Lagrangian particle level-set method for dynamic surfaces
L. Schulze, S. Veettil, and I. Sbalzarini. CoRR, (2023)
a month ago by @scadsfct
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imported
topic_lifescienceimported
(0)
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1Hamiltonian Monte Carlo with strict convergence criteria reduces run-to-run variability in forensic DNA mixture deconvolution
M. Susik, H. Schönborn, and I. Sbalzarini. Forensic Science International: Genetics, (September 2022)
a month ago by @scadsfct
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imported
topic_lifescienceimported
(0)
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1Proven Distributed Memory Parallelization of Particle Methods
J. Pahlke, and I. Sbalzarini. (Sep 18, 2024)
a month ago by @scadsfct
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topic_lifescience
algorithmics,
algorithms,
bounds,
definition,
distributed
engineering
formal
memory,
meshfree
methods,
parallelization,
particle
scalability
simulation
software
topic_lifesciencealgorithmics,algorithms,bounds,definition,distributedengineeringformalmemory,meshfreemethods,parallelization,particlescalabilitysimulationsoftware
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1Variational inference accelerates accurate DNA mixture deconvolution
M. Susik, and I. Sbalzarini. Forensic Science International: Genetics, (July 2023)
a month ago by @scadsfct
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1Collective cell migration during optic cup formation features changing cell-matrix interactions linked to matrix topology
K. Soans, A. Ramos, J. Sidhaye, A. Krishna, A. Solomatina, K. Hoffmann, R. Schl��ler, J. Guck, I. Sbalzarini, C. Modes and 1 other author(s). Current Biology, 32 (22): 4817--4831.e9 (2022)
a month ago by @scadsfct
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topic_lifescience
cell
collective
cup,
matrix
migration,
optic
simulation
topology
topology,
zebrafish,
topic_lifesciencecellcollectivecup,matrixmigration,opticsimulationtopologytopology,zebrafish,
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1Adaptive weighting of Bayesian physics informed neural networks for multitask and multiscale forward and inverse problems
S. Perez, S. Maddu, I. Sbalzarini, and P. Poncet. J. Comput. Phys., (2023)
a month ago by @scadsfct
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1A Distributed Algebra System for Time Integration on Parallel Computers
A. Singh, L. Kraatz, P. Incardona, and I. Sbalzarini. CoRR, (2023)
a month ago by @scadsfct
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1Learning locally dominant force balances in active particle systems
D. Sturm, S. Maddu, and I. Sbalzarini. CoRR, (2023)
a month ago by @scadsfct
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1Stability selection enables robust learning of partial differential equations from limited noisy data
S. Maddu, B. Cheeseman, I. Sbalzarini, and C. Müller. (2019)
a month ago by @scadsfct
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(cs.LG),
(math.NA),
(physics.data-an),
Analysis
Analysis,
Computer
Data
FOS:
Learning
Machine
Mathematics,
Numerical
Physical
Probability
Statistics
and
information
sciences
sciences,
(cs.LG),(math.NA),(physics.data-an),AnalysisAnalysis,ComputerDataFOS:LearningMachineMathematics,NumericalPhysicalProbabilityStatisticsandinformationsciencessciences,
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1Higher Order Bipartiteness vs Bi-Partitioning in Simplicial Complexes
M. Eidi, and S. Mukherjee. (2024)
2 months ago by @scadsfct
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topic_mathfoundationimported
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1Topological and geometric methods with a view towards data analysis
M. Eidi. Universität Leipzig, Dissertation, (2022)
2 months ago by @scadsfct
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1Irreducibility of Markov Chains on simplicial complexes, the Spectrum of the Discrete Hodge Laplacian and Homology
M. Eidi, and S. Mukherjee. (2023)
2 months ago by @scadsfct
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(0)
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1Chemically inspired Erd\Hos-Rényi oriented hypergraphs
A. Garcia-Chung, M. Bermúdez-Montaña, P. Stadler, J. Jost, and G. Restrepo. (2023)
2 months ago by @scadsfct
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topic_lifescience
imported
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1Every atom-atom map can be explained by electron pushing diagrams
C. Flamm, S. Müller, and P. Stadler. (2023)
2 months ago by @scadsfct
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1Partial Fitch Graphs: Characterization, Satisfiability and Complexity*
M. Hellmuth, A. Korchmaros, J. Ram\'ırez-Rafael, B. Schmidt, P. Stadler, and S. Thekkumpadan Puthiyaveedu. bioRxiv, (2024)
2 months ago by @scadsfct
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1Mono-valent salt corrections for RNA secondary structures in the ViennaRNA package
H. Yao, R. Lorenz, I. Hofacker, and P. Stadler. Algorithms for Molecular Biology, 18 (1): 8 (July 2023)
2 months ago by @scadsfct
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1Unstable cores are the source of instability in chemical reaction networks
N. Vassena, and P. Stadler. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 480 (2285): 20230694 (2024)
2 months ago by @scadsfct
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1Planar median graphs and cubesquare-graphs
{. Seemann, V. Moulton, {. Stadler, and M. Hellmuth. Discrete Applied Mathematics, (May 31, 2023)
2 months ago by @scadsfct
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topic_mathfoundation
Characterization
Hybercube
Planar_median_graph
QS-graph
Recognition_algorithm
Square-graph
topic_mathfoundationCharacterizationHybercubePlanar_median_graphQS-graphRecognition_algorithmSquare-graph
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1Tailored machine learning models for functional RNA detection in genome-wide screens (Version 1)
C. Klapproth, S. Zöztsche, F. Kühnl, J. Fallmann, P. Stadler, and S. Findeiß. https://doi.org/10.5281/zenodo.8120827, (July 2023)Accessed on YYYY-MM-DD..
2 months ago by @scadsfct
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1Manipulating base quality scores enables variant calling from bisulfite sequencing alignments using conventional bayesian approaches
A. Nunn, C. Otto, M. Fasold, P. Stadler, and D. Langenberger. BMC Genomics, 23 (1): 477 (June 2022)
2 months ago by @scadsfct
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1Efficient eigenvalue counts for tree-like networks
G. Guzman, P. Stadler, and A. Fujita. Journal of Complex Networks, 10 (5): cnac040 (August 2022)\_eprint: https://academic.oup.com/comnet/article-pdf/10/5/cnac040/45499049/cnac040.pdf.
2 months ago by @scadsfct
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1Relative timing information and orthology in evolutionary scenarios
D. Schaller, T. Hartmann, M. Lafond, P. Stadler, N. Wieseke, and M. Hellmuth. Algorithms for Molecular Biology, 18 (1): 16 (November 2023)
2 months ago by @scadsfct
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1Cavity approach for the approximation of spectral density of graphs with heterogeneous structures
G. Guzman, P. Stadler, and A. Fujita. Phys. Rev. E, 109 (3): 034303 (March 2024)
2 months ago by @scadsfct
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1Minimum $\Phi$-distance estimators for finite mixing measures
Y. Wei, S. Mukherjee, and X. Nguyen. (April 2023)
2 months ago by @scadsfct
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1Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes
J. Silverman, K. Roche, Z. Holmes, L. David, and S. Mukherjee. Journal of Machine Learning Research, 23 (7): 1--42 (2022)
2 months ago by @scadsfct
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