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publications (hide)1434
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2Enhanced method for reinforcement learning based dynamic obstacle avoidance by assessment of collision risk
F. Hart, and O. Okhrin. Neurocomputing, (2024)
9 days ago by @scadsfct
show all tags
Collision
Dynamic
Reinforcement
Training
avoidance
environment
learning
metric
obstacle
risk
CollisionDynamicReinforcementTrainingavoidanceenvironmentlearningmetricobstaclerisk
(0)
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2Distributional properties of continuous time processes: from CIR to bates
O. Okhrin, M. Rockinger, and M. Schmid. AStA Advances in Statistical Analysis, 107 (3): 397-419 (September 2023)
9 days ago by @scadsfct
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CIR
Distributional
Higher
Jump
Squar
Stochastic
diffusion
moments
process
properties
volatility
CIRDistributionalHigherJumpSquarStochasticdiffusionmomentsprocesspropertiesvolatility
(0)
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2Maximum-Likelihood Estimation Using the Zig-Zag Algorithm
N. Hautsch, O. Okhrin, and A. Ristig. Journal of Financial Econometrics, 21 (4): 1346-1375 (2023)
9 days ago by @scadsfct
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Bitcoin
Gauß–Seidel
conditional
correlation
dynamic
efficient
estimation
iterative
BitcoinGauß–Seidelconditionalcorrelationdynamicefficientestimationiterative
(0)
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2Vision-Based DRL Autonomous Driving Agent with Sim2Real Transfer
D. Li, and O. Okhrin. 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), page 866-873. (2023)
9 days ago by @scadsfct
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Automobiles
Autonomous
Measurement
Reinforcement
Statistical
Task
Videos
analysis
learning
vehicles
AutomobilesAutonomousMeasurementReinforcementStatisticalTaskVideosanalysislearningvehicles
(0)
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2Vessel-following model for inland waterways based on deep reinforcement learning
F. Hart, O. Okhrin, and M. Treiber. Ocean Eng., 281 (114679): 114679 (August 2023)
9 days ago by @scadsfct
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Vessel-following
deep
inland
learning
model
reinforcement
waterways
Vessel-followingdeepinlandlearningmodelreinforcementwaterways
(0)
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2Spatial–temporal recurrent reinforcement learning for autonomous ships
M. Waltz, and O. Okhrin. Neural Networks, (2023)
9 days ago by @scadsfct
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Autonomous
COLREG
Deep
Recurrency,
learning,
reinforcement
surface
vehicle
AutonomousCOLREGDeepRecurrency,learning,reinforcementsurfacevehicle
(0)
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1Robust path following on rivers using bootstrapped reinforcement learning
N. Paulig, and O. Okhrin. Ocean Engineering, (2024)
9 days ago by @scadsfct
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Autonomous
Deep
Path
Restricted
following;
learning;
reinforcement
surface
vessel
waterways
AutonomousDeepPathRestrictedfollowing;learning;reinforcementsurfacevesselwaterways
(0)
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2Towards robust car-following based on deep reinforcement learning
F. Hart, O. Okhrin, and M. Treiber. Transportation Research Part C: Emerging Technologies, (2024)
9 days ago by @scadsfct
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Car-following;
Generalization;
Reinforcement;
String
Validation;
capabilities;
learning;
model;
stability
Car-following;Generalization;Reinforcement;StringValidation;capabilities;learning;model;stability
(0)
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1Genomic events stratifying prognosis of early gastric cancer
C. Molinari, L. Solaini, F. Rebuzzi, G. Tedaldi, D. Angeli, E. Petracci, D. Prascevic, J. Ewald, E. Rahm, M. Canale and 9 other author(s). Gastric Cancer, 27 (6): 1189--1200 (November 2024)
9 days ago by @scadsfct
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ARID1A
EGC;
LRP1B
Pen;
Prognosis
ARID1AEGC;LRP1BPen;Prognosis
(0)
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2Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-Offs
A. Hannemann, J. Ewald, L. Seeger, and E. Buchmann. Computational Science – ICCS 2024: 24th International Conference, Malaga, Spain, July 2–4, 2024, Proceedings, Part IV, page 279–293. Berlin, Heidelberg, Springer-Verlag, (2024)
9 days ago by @scadsfct
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Cell
Classification,
Disease
Federated
Learning,
Prognosis
Type
CellClassification,DiseaseFederatedLearning,PrognosisType
(0)
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2Multiple hypothesis testing with persistent homology
M. Vejdemo-Johansson, CUNY College of Staten Island, and 2800 Victory Boulevard, 1S-215, Staten Island, NY 10314, USA, S. Mukherjee, CUNY Graduate Center, 365 5th Avenue, and New York NY 10016, USA, Center for Scalable Data Analytics and and Artificial Intelligence, Universit¨at Leipzig, and Humboldtstraße 25, Leipzig, Germany 04105, Max Planck and Institute for Mathematics in the Sciences, Inselstraße 22 and 04103 Leipzig Germany, and Departments of Statistical Science, and Mathematics, Computer Science, and Biostatistics & and Bioinformatics, Duke University, Durham, NC 27708, USA. Found. Data Sci., 4 (4): 667--705 (2022)
9 days ago by @scadsfct
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Multiple
homology
hypothesis
persistent
testing;
Multiplehomologyhypothesispersistenttesting;
(0)
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2Gibbs posterior convergence and the thermodynamic formalism
K. McGoff, S. Mukherjee, and A. Nobel. Ann. Appl. Probab., (February 2022)
9 days ago by @scadsfct
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Gibbs
convergence
formalism
posterior
thermodynamic
Gibbsconvergenceformalismposteriorthermodynamic
(0)
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2Representing fields without correspondences: the lifted Euler characteristic transform
H. Kirveslahti, and S. Mukherjee. J. Appl. Comput. Topol., 8 (1): 1--34 (March 2024)
9 days ago by @scadsfct
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Euler
characteristic
corresponcence
transform
Eulercharacteristiccorresponcencetransform
(0)
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2Ergodic theorems for dynamic imprecise probability kinematics
M. Caprio, and S. Mukherjee. International Journal of Approximate Reasoning, (2023)
9 days ago by @scadsfct
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Dynamic
Ergodic
Imprecise
Lower
Strong
Subjective
imprecise
kinematics
large
law
numbers
probabilities
probability
DynamicErgodicImpreciseLowerStrongSubjectiveimprecisekinematicslargelawnumbersprobabilitiesprobability
(0)
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2Pragmatist Intelligence: Where the Principle of Usefulness Can Take ANNs
A. Bikić, and S. Mukherjee. (2024)
9 days ago by @scadsfct
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ANN
Intelligence;
Pragmatist
Usefulness;
ANNIntelligence;PragmatistUsefulness;
(0)
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2Global 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)
9 days ago by @scadsfct
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Elman-type
Optimality,
mean-field
regime
{RNN}s,
Elman-typeOptimality,mean-fieldregime{RNN}s,
(0)
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2Neural 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)
9 days ago by @scadsfct
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COVID-19,
Cross-species
Deep
Disease
Hamster
RNA-seq,
Single-cell
analysis,
learning
matching,
model,
state
COVID-19,Cross-speciesDeepDiseaseHamsterRNA-seq,Single-cellanalysis,learningmatching,model,state
(0)
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2SetQuence & 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)
29 days ago by @scadsfct
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topic_lifescience
topic_lifescience
(0)
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2SetQuence & 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)
29 days ago by @scadsfct
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topic_lifescience
topic_lifescience
(0)
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2The 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
imported
(0)
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PUMA

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publications (hide)1434
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2Enhanced method for reinforcement learning based dynamic obstacle avoidance by assessment of collision risk

2Distributional properties of continuous time processes: from CIR to bates

2Maximum-Likelihood Estimation Using the Zig-Zag Algorithm

2Vision-Based DRL Autonomous Driving Agent with Sim2Real Transfer

2Vessel-following model for inland waterways based on deep reinforcement learning

2Spatial–temporal recurrent reinforcement learning for autonomous ships

1Robust path following on rivers using bootstrapped reinforcement learning

2Towards robust car-following based on deep reinforcement learning

1Genomic events stratifying prognosis of early gastric cancer

2Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-Offs

2Multiple hypothesis testing with persistent homology

2Gibbs posterior convergence and the thermodynamic formalism

2Representing fields without correspondences: the lifted Euler characteristic transform

2Ergodic theorems for dynamic imprecise probability kinematics

2Pragmatist Intelligence: Where the Principle of Usefulness Can Take ANNs

2Global optimality of Elman-type RNNs in the mean-field regime

2Neural network-assisted humanisation of COVID-19 hamster transcriptomic data reveals matching severity states in human disease

2SetQuence & SetOmic: Deep Set Transformer-based Representations of Cancer Multi-Omics

2SetQuence & SetOmic: Deep Set Transformers for Whole Genome and Exome Tumour Analysis

2The Precise Complexity of Reasoning in $ALC$ with $ømega$-Admissible Concrete Domains (Extended Version)

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