Search results for "generalisation"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
18	Stéphane Le Roux 0001	Acyclic Preferences and Existence of Sequential Nash Equilibria: A Formal and Constructive Equivalence.	TPHOLs	2009	DBLP DOI BibTeX RDF	sequential game theory, effective generalisation, abstraction, induction, Coq
18	Tuan Hao Hoang, Robert I. McKay, Daryl Essam, Nguyen Xuan Hoai	Learning General Solutions through Multiple Evaluations during Development.	ICES	2008	DBLP DOI BibTeX RDF	Generalisation, Hyper-heuristics, Overfitting, Parsimony, Developmental Genetic Programming
18	Ata Kabán	Predictive Modelling of Heterogeneous Sequence Collections by Topographic Ordering of Histories.	Mach. Learn.	2007	DBLP DOI BibTeX RDF	Generative topographic mapping, Generalisation across multiple sequences, Data explanation, Probabilistic modelling, Visualisation, Data prediction
18	Geoff W. Hamilton	Distillation: extracting the essence of programs.	PEPM	2007	DBLP DOI BibTeX RDF	superlinear improvement, program transformation, termination, generalisation, tail-recursion
18	Matthias Baaz, Georg Moser	Herbrand's theorem and term induction.	Arch. Math. Log.	2006	DBLP DOI BibTeX RDF	Term induction, Successor Induction, Herbrand's theorem, Generalisation of Proofs
18	Felix A. Fischer, Michael Rovatsos, Gerhard Weiß 0001	Acquiring and adapting probabilistic models of agent conversation.	AAMAS	2005	DBLP DOI BibTeX RDF	evolutionary semantics, inductive generalisation, agent communication, cluster validation
18	A. Mechaqrane, Mohcine Zouak	A comparison of linear and neural network ARX models applied to a prediction of the indoor temperature of a building.	Neural Comput. Appl.	2004	DBLP DOI BibTeX RDF	Neural network ARX model, Optimal brain surgeon strategy, Pruned neural network, Generalisation, Overfitting, Feedforward network
18	Armando M. Fernandes, Andrei B. Utkin, Alexander V. Lavrov, Rui M. Vilar	Neural Network Based Recognition of Smoke Signatures from Lidar Signals.	Neural Process. Lett.	2004	DBLP DOI BibTeX RDF	misdetections, backpropagation, generalisation, perceptron, lidar, smoke, laser, fire
18	Sebastián Uchitel, Robert Chatley, Jeff Kramer, Jeff Magee	System architecture: the context for scenario-based model synthesis.	SIGSOFT FSE	2004	DBLP DOI BibTeX RDF	architecture, synthesis, generalisation, MSCs
18	Dymitr Ruta, Bogdan Gabrys	A Theoretical Analysis of the Limits of Majority Voting Errors for Multiple Classifier Systems.	Pattern Anal. Appl.	2002	DBLP DOI BibTeX RDF	Error distribution, Multistage organisations, Generalisation, Majority voting, Combining classifiers, Margin
18	Yann Guermeur	Combining Discriminant Models with New Multi-Class SVMs.	Pattern Anal. Appl.	2002	DBLP DOI BibTeX RDF	Generalisation performance, Hierarchical sequence processing systems, Support Vector Machines, Classifier fusion, Statistical learning theory, Protein secondary structure prediction
18	Yonglong Wang, Bill Samson, David Ellison, Louis Natanson	MIQR Active Learning on a Continuous Function and a Discontinuous Function.	Neural Comput. Appl.	2001	DBLP DOI BibTeX RDF	MIQR, Network learning, Efficiency, Active learning, Ensemble, Generalisation, Network complexity
18	Mahes Visvalingam, Kurt Dowson	Towards cognitive evaluation of computer-drawn sketches.	Vis. Comput.	2001	DBLP DOI BibTeX RDF	Line generalisation algorithms, Terrain visualisation, Gestalt perception, Subconscious computation, Cognitive analysis
18	Carlos H. C. Ribeiro	Embedding a Priori Knowledge in Reinforcement Learning.	J. Intell. Robotic Syst.	1998	DBLP DOI BibTeX RDF	Q-learning algorithm, experience generalisation, reinforcement learning
18	Anelise P. Braga, Marcelo Barros de Almeida, G. Pereita, Marcelo Azevedo Costa, C. Barbose	On the information storage of associative matrix memories.	SBRN	1997	DBLP DOI BibTeX RDF	associative matrix memories, Willshaw matrix model, linear matrix memory, autoassociative networks, heteroassociative networks, neural networks, neural nets, generalisation, network connectivity, information storage, storage capacity
18	A. Jonathan Howell, Hilary Buxton	Towards unconstrained face recognition from image sequences.	FG	1996	DBLP DOI BibTeX RDF	unconstrained face recognition, low resolution video information, input representations, receptive field functions, human vision system, Difference of Gaussian filtering, Gabor wavelet analysis, real-time unconstrained face recognition, classification, face recognition, image sequences, preprocessing, radial basis function network, generalisation, data capture
18	Yuntao Cui, Daniel L. Swets, Juyang Weng	Learning-Based Hand Sign Recognition Using SHOSLIF-M.	ICCV	1995	DBLP DOI BibTeX RDF	SHOSLIF-M, self-organizing framework, learning-based hand sign recognition, spatiotemporal event recognition, spatiotemporal event learning, intensity image sequences, multiclass multivariate discriminant analysis, most discriminating features, space partition tree, logarithmic retrieval time complexity, interpolation scheme, view inference, computer vision, computational complexity, database, object recognition, interpolation, generalization, image sequences, patterns, image recognition, inference mechanisms, learning systems, generalisation (artificial intelligence), recognition rate, multivariable systems, self-adjusting systems
18	Leonardo W. Estevez, Nasser Kehtarnavaz	Computer Assisted Enhancement of Mammograms for Detection of Microcalcifications.	CBMS	1995	DBLP DOI BibTeX RDF	computer-assisted mammogram enhancement, microcalcification detection, visual identification, false positive samples, general-purpose clustering algorithm, Issac, Interactive Selective and Adaptive Clustering, selective clustering, interactive adaptation, sensitive sample domains, clinical evaluation, routine reading session, generalization, interactive systems, object detection, medical image processing, sensitivity, breast cancer, generalisation (artificial intelligence), radiology, radiology
18	Jürgen Landauer, Masahito Hirakawa	Visual AWK: A Model for Text Processing by Demonstration.	VL	1995	DBLP DOI BibTeX RDF	Visual AWK, control structure inference, user-intended generalization, vertical demonstration, pattern-action paradigm, spreadsheet metaphor, usability, feedback, visual programming, visual languages, inference mechanisms, programming-by-demonstration, program visualization, generalisation (artificial intelligence), expressive power, text processing, word processing, visual feedback, visual programming language, spreadsheet programs
18	Seong-Whan Lee, Young-Joon Kim	A new type of recurrent neural network for handwritten character recognition.	ICDAR	1995	DBLP DOI BibTeX RDF	multilayer feedforward neural network, generalization power, totally unconstrained handwritten numeral database, image recognition, character recognition, recurrent neural network, multilayer perceptrons, generalisation (artificial intelligence), handwritten character recognition, feedforward neural nets, discrimination power, neural net architecture, recurrent neural nets
18	Christian S. Jensen, Richard T. Snodgrass	Temporal Specialization and Generalization.	IEEE Trans. Knowl. Data Eng.	1994	DBLP DOI BibTeX RDF	temporal specialization, temporal generalization, specialized temporal relations, time attributes, restricted interrelationships, interconnected temporal relations, multiple time dimensions, generalized temporal relations, predecessor relation querying, successor relation, query processing performance, data structures, semantics, query processing, taxonomy, transaction processing, database theory, temporal databases, temporal database, generalisation (artificial intelligence), tuples, transaction time, valid time, temporal data models, temporal semantics
18	Mohamad T. Musavi, Khue Hiang Chan, Donald M. Hummels, K. Kalantri	On the Generalization Ability of Neural Network Classifiers.	IEEE Trans. Pattern Anal. Mach. Intell.	1994	DBLP DOI BibTeX RDF	expected error, input probability density, pattern recognition, integration, probability, radial basis function, neural nets, Monte Carlo methods, Monte Carlo method, numerical integration, back propagation, generalisation (artificial intelligence), probabilistic neural network, neural network classifiers, covariance matrices, generalization ability
18	Peter N. Creasy, Gerard Ellis	A Conceptual Graphs Approach to Conceptual Schema Integration.	ICCS	1993	DBLP DOI BibTeX RDF	schema reuse, IRDS, database management systems, analogy, generalisation, schema integration, conceptual schema
17	Dimitrios Vytiniotis, Simon L. Peyton Jones, Tom Schrijvers	Let should not be generalized.	TLDI	2010	DBLP DOI BibTeX RDF	type families, haskell, type inference, type classes, generalized algebraic data types
17	Anna Esparcia-Alcázar, Manuel Cardós, Juan Julián Merelo Guervós, Anaís Martínez-García, Pablo García-Sánchez, Eva Alfaro-Cid, Ken Sharman	EVITA: An Integral Evolutionary Methodology for the Inventory and Transportation Problem.	Bio-inspired Algorithms for the Vehicle Routing Problem	2009	DBLP DOI BibTeX RDF
17	Pete G. Thomas, Kevin G. Waugh, Neil Smith	Generalised diagram revision tools with automatic marking.	ITiCSE	2009	DBLP DOI BibTeX RDF	feedback, diagrams, learning tools, automatic marking
17	Aram W. Harrow, Richard Andrew Low	Efficient Quantum Tensor Product Expanders and k-Designs.	APPROX-RANDOM	2009	DBLP DOI BibTeX RDF
17	Constanza Riera, Stéphane Jacob, Matthew Geoffrey Parker	From graph states to two-graph states.	Des. Codes Cryptogr.	2008	DBLP DOI BibTeX RDF	AMS Classifications 81Q08, 81Q10, 05C62, 05C85, 06E30
17	Lin Gao 0002, Quan Hoang Nguyen 0001, Lian Li 0002, Jingling Xue, Tin-Fook Ngai	Thread-Sensitive Modulo Scheduling for Multicore Processors.	ICPP	2008	DBLP DOI BibTeX RDF
17	Gearoid Murphy, Conor Ryan	A Simple Powerful Constraint for Genetic Programming.	EuroGP	2008	DBLP DOI BibTeX RDF
17	L. Tiina Sarjakoski, Tommi Koivula, Tapani Sarjakoski	A Knowledge-Based Map Adaptation Approach for Mobile Map Services.	Location Based Services and TeleCartography	2007	DBLP DOI BibTeX RDF
17	Marc Geilen, Twan Basten	A calculator for Pareto points.	DATE	2007	DBLP DOI BibTeX RDF
17	Patrik Floréen, Petteri Kaski, Topi Musto, Jukka Suomela	Local Approximation Algorithms for Scheduling Problems in Sensor Networks.	ALGOSENSORS	2007	DBLP DOI BibTeX RDF
17	Miao Kang, Dominic Palmer-Brown	A Multi-layer ADaptive FUnction Neural Network (MADFUNN) for Letter Image Recognition.	IJCNN	2007	DBLP DOI BibTeX RDF
17	Sarah Jane Delany, Derek G. Bridge	Textual case-based reasoning for spam filtering: a comparison of feature-based and feature-free approaches.	Artif. Intell. Rev.	2006	DBLP DOI BibTeX RDF	Case-base editing, Case-based maintenance, Feature selection, Case-based reasoning, Distance measures, Text compression, Spam filtering
17	Jiuyong Li, Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Jian Pei	Achieving k-Anonymity by Clustering in Attribute Hierarchical Structures.	DaWaK	2006	DBLP DOI BibTeX RDF
17	Yong Liu 0012	Create Stable Neural Networks by Cross-Validation.	IJCNN	2006	DBLP DOI BibTeX RDF
17	Jeffery I. Zucker	Primitive Recursive Selection Functions over Abstract Algebras.	CiE	2006	DBLP DOI BibTeX RDF
17	Øyvind Langsrud	Rotation tests.	Stat. Comput.	2005	DBLP DOI BibTeX RDF	conditional inference, multiple testing, random orthogonal matrix, adjusted p-value, multiple endpoints, spherical distribution, microarray data analysis
17	Stephen H. Muggleton, Huma Lodhi, Ata Amini, Michael J. E. Sternberg	Support Vector Inductive Logic Programming.	Discovery Science	2005	DBLP DOI BibTeX RDF
17	Manuel M. T. Chakravarty, Gabriele Keller, Simon L. Peyton Jones, Simon Marlow	Associated types with class.	POPL	2005	DBLP DOI BibTeX RDF	associated types, self-optimising libraries, type-directed translation, type-indexed types, type classes
17	Audun Jøsang, Simon Pope, Milan Daniel	Conditional Deduction Under Uncertainty.	ECSQARU	2005	DBLP DOI BibTeX RDF
17	João Paulo Barros, Luís Gomes 0001	On the Use of Coloured Petri Nets for Object-Oriented Design.	ICATPN	2004	DBLP DOI BibTeX RDF
17	Chris Hunter, Peter J. Robinson 0001, Paul A. Strooper	Flexible Proof Reuse for Software Verification.	AMAST	2004	DBLP DOI BibTeX RDF
17	Matthew C. Casey, Khurshid Ahmad 0001	In-Situ Learning in Multi-net Systems.	IDEAL	2004	DBLP DOI BibTeX RDF
17	Arend Rensink	Representing First-Order Logic Using Graphs.	ICGT	2004	DBLP DOI BibTeX RDF
17	Roberto Ziller, Klaus Schneider 0001	A Generalised Approach to Supervisor Synthesis.	MEMOCODE	2003	DBLP DOI BibTeX RDF
17	Daniela Hall, James L. Crowley	Computation of Generic Features for Object Classification.	Scale-Space	2003	DBLP DOI BibTeX RDF	local image features, clustering, classification
17	Christian Urban, Andrew M. Pitts, Murdoch Gabbay	Nominal Unificaiton.	CSL	2003	DBLP DOI BibTeX RDF
17	Louise A. Dennis, Alan Bundy	A Comparison of Two Proof Critics: Power vs. Robustness.	TPHOLs	2002	DBLP DOI BibTeX RDF
17	Christos Tjortjis, John A. Keane	T3: A Classification Algorithm for Data Mining.	IDEAL	2002	DBLP DOI BibTeX RDF
17	Esperanza Marcos, José María Cavero	Hierarchies in Object Oriented Conceptual Modeling.	OOIS Workshops	2002	DBLP DOI BibTeX RDF
17	Ahmad S. Tolba 0001, Abdul Nasser S. Abu-Rezq	Combined Classifiers for Invariant Face Recognition.	Pattern Anal. Appl.	2000	DBLP DOI BibTeX RDF	Invariant recognition, Learning vector quantisation, Classification, Face recognition, Radial basis function network, Combined classifiers
17	Carlos H. C. Ribeiro	On the Use of Option Policies for Autonomous Robot Navigation.	IBERAMIA-SBIA	2000	DBLP DOI BibTeX RDF
17	Dietrich Kuske, Rémi Morin	Pomsets for Local Trace Languages - Recognizability, Logic & Petri Nets.	CONCUR	2000	DBLP DOI BibTeX RDF
17	B. Zhong, John MacIntyre, Y. He, John Tait	High Order Neural Networks for Simultaneous Diagnosis of Multiple Faults in Rotating Machines.	Neural Comput. Appl.	1999	DBLP DOI BibTeX RDF
17	Nick K. Treadgold, Tamás D. Gedeon	A Constructive Cascade Network with Adaptive Regularisation.	IWANN (2)	1999	DBLP DOI BibTeX RDF
17	Saso Dzeroski, James Cussens, Suresh Manandhar	An Introduction to Inductive Logic Programming and Learning Language in Logic.	Learning Language in Logic	1999	DBLP DOI BibTeX RDF
17	Ali Amaniss, Miki Hermann, Denis Lugiez	Set Operations for Recurrent Term Schematizations.	TAPSOFT	1997	DBLP DOI BibTeX RDF
17	Theo W. C. Huibers, Iadh Ounis, Jean-Pierre Chevallet	Conceptual Graph Aboutness.	ICCS	1996	DBLP DOI BibTeX RDF
17	Siani Baker, Andrew Ireland, Alan Smaill	On the Use of the Constructive Omega-Rule within Automated Deduction.	LPAR	1992	DBLP DOI BibTeX RDF
17	Eduardo F. Morales 0001	Learning Features by Experimentation in Chess.	EWSL	1991	DBLP DOI BibTeX RDF	LGG, experimentation, Horn clause, chess
17	Jürgen Koslowski	Continuous Categories.	Mathematical Foundations of Programming Semantics	1985	DBLP DOI BibTeX RDF
16	Anagh Chattopadhyay, Soumya Sankar Ghosh, Samir Karmakar	Generalisation in Natural Language Clustering Through Non-parametric Statistical Approach.	SN Comput. Sci.	2024	DBLP DOI BibTeX RDF
16	Rodrigo Wilkens, Leonardo Zilio, Aline Villavicencio	Assessing linguistic generalisation in language models: a dataset for Brazilian Portuguese.	Lang. Resour. Evaluation	2024	DBLP DOI BibTeX RDF
16	Marco Edoardo Palma, Alex Wolf, Pasquale Salza, Harald C. Gall	On-the-Fly Syntax Highlighting: Generalisation and Speed-ups.	CoRR	2024	DBLP DOI BibTeX RDF
16	Daniil Kozhemiachenko	Generalisation of proof simulation procedures for Frege systems by M.L.~Bonet and S.R.~Buss.	CoRR	2024	DBLP DOI BibTeX RDF
16	Jeffrey Sardina, John D. Kelleher, Declan O'Sullivan	TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models.	CoRR	2024	DBLP DOI BibTeX RDF
16	Anastasios Arsenos, Dimitrios D. Kollias, Evangelos Petrongonas, Christos Skliros, Stefanos D. Kollias	Uncertainty-guided Contrastive Learning for Single Source Domain Generalisation.	CoRR	2024	DBLP DOI BibTeX RDF
16	Sondess Missaoui, Simos Gerasimou, Nikolaos Drivalos Matragkas	DeepKnowledge: Generalisation-Driven Deep Learning Testing.	CoRR	2024	DBLP DOI BibTeX RDF
16	Ying Liu, Liucheng Guo, Valeri A. Makarov, Alexander Gorbana, Evgeny Mirkesa, Ivan Yu. Tyukin	Agile gesture recognition for low-power applications: customisation for generalisation.	CoRR	2024	DBLP DOI BibTeX RDF
16	Yijun Yang, Jie He 0004, Pinzhen Chen, Víctor Gutiérrez-Basulto, Jeff Z. Pan	UniArk: Improving Generalisation and Consistency for Factual Knowledge Extraction through Debiasing.	CoRR	2024	DBLP DOI BibTeX RDF
16	Liviu-Daniel Stefan, Dan-Cristian Stanciu, Mihai Dogariu, Mihai Gabriel Constantin, Andrei Cosmin Jitaru, Bogdan Ionescu	Deepfake Sentry: Harnessing Ensemble Intelligence for Resilient Detection and Generalisation.	CoRR	2024	DBLP DOI BibTeX RDF
16	Ivo Verhoeven, Pushkar Mishra, Rahel Beloch, Helen Yannakoudakis, Ekaterina Shutova	A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection.	CoRR	2024	DBLP DOI BibTeX RDF
16	Raj Ghugare, Matthieu Geist, Glen Berseth, Benjamin Eysenbach	Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.	CoRR	2024	DBLP DOI BibTeX RDF
16	Maxime Haddouche, Paul Viallard, Umut Simsekli, Benjamin Guedj	A PAC-Bayesian Link Between Generalisation and Flat Minima.	CoRR	2024	DBLP DOI BibTeX RDF
16	Shangmin Guo, Yi Ren, Stefano V. Albrecht, Kenny Smith	Sample Relationship from Learning Dynamics Matters for Generalisation.	CoRR	2024	DBLP DOI BibTeX RDF
16	Homer Durand, Gherardo Varando, Nathan Mankovich, Gustau Camps-Valls	Improving generalisation via anchor multivariate analysis.	CoRR	2024	DBLP DOI BibTeX RDF
16	Paul Viallard, Maxime Haddouche, Umut Simsekli, Benjamin Guedj	Tighter Generalisation Bounds via Interpolation.	CoRR	2024	DBLP DOI BibTeX RDF
16	Deividas Eringis, John Leth, Zheng-Hua Tan, Rafael Wisniewski, Mihály Petreczky	PAC-Bayes Generalisation Bounds for Dynamical Systems including Stable RNNs.	AAAI	2024	DBLP DOI BibTeX RDF
16	David M. Cerna, Andrew Cropper	Generalisation through Negation and Predicate Invention.	AAAI	2024	DBLP DOI BibTeX RDF
16	Jeffrey Sardina, John D. Kelleher, Declan O'Sullivan	TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models.	ICSC	2024	DBLP DOI BibTeX RDF
16	Toan Nguyen, Kien Do, Bao Duong, Thin Nguyen	Domain Generalisation via Risk Distribution Matching.	WACV	2024	DBLP DOI BibTeX RDF
16	Maxime Haddouche, Benjamin Guedj	PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses through Supermartingales.	Trans. Mach. Learn. Res.	2023	DBLP BibTeX RDF
16	Nattapon Harnsamut, Juggapong Natwichai	Privacy-aware trajectory data publishing: an optimal efficient generalisation algorithm.	Int. J. Grid Util. Comput.	2023	DBLP DOI BibTeX RDF
16	Ehsan Bojnordi, Seyed Jalaleddin Mousavirad, Mahdi Pedram, Gerald Schaefer, Diego Oliva	Improving the Generalisation Ability of Neural Networks Using a Lévy Flight Distribution Algorithm for Classification Problems.	New Gener. Comput.	2023	DBLP DOI BibTeX RDF
16	Haowen Chen, Fengxiang He, Shiye Lei, Dacheng Tao	Spectral complexity-scaled generalisation bound of complex-valued neural networks.	Artif. Intell.	2023	DBLP DOI BibTeX RDF
16	Robert Kirk, Amy Zhang, Edward Grefenstette, Tim Rocktäschel	A Survey of Zero-shot Generalisation in Deep Reinforcement Learning.	J. Artif. Intell. Res.	2023	DBLP DOI BibTeX RDF
16	Pierre Jobic, Maxime Haddouche, Benjamin Guedj	Federated Learning with Nonvacuous Generalisation Bounds.	CoRR	2023	DBLP DOI BibTeX RDF
16	Lukas Gehring	The Constant in the Theorem of Binev-Dahmen-DeVore-Stevenson and a Generalisation of it.	CoRR	2023	DBLP DOI BibTeX RDF
16	Maike Züfle, Verna Dankers, Ivan Titov	Latent Feature-based Data Splits to Improve Generalisation Evaluation: A Hate Speech Detection Case Study.	CoRR	2023	DBLP DOI BibTeX RDF
16	Verna Dankers, Ivan Titov, Dieuwke Hupkes	Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation.	CoRR	2023	DBLP DOI BibTeX RDF
16	Alexander Bastounis, Alexander N. Gorban, Anders C. Hansen, Desmond J. Higham, Danil V. Prokhorov, Oliver J. Sutton, Ivan Yu. Tyukin, Qinghua Zhou	The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning.	CoRR	2023	DBLP DOI BibTeX RDF
16	Rodrigo Wilkens, Leonardo Zilio, Aline Villavicencio	Assessing Linguistic Generalisation in Language Models: A Dataset for Brazilian Portuguese.	CoRR	2023	DBLP DOI BibTeX RDF
16	Joel Ho, Nick Pepper, Tim J. Dodwell	Probabilistic Machine Learning to Improve Generalisation of Data-Driven Turbulence Modelling.	CoRR	2023	DBLP DOI BibTeX RDF
16	Yangshuai Wang, Shashwat Patel, Christoph Ortner	A Theoretical Case Study of the Generalisation of Machine-learned Potentials.	CoRR	2023	DBLP DOI BibTeX RDF
16	Martin Ferianc, Ondrej Bohdal, Timothy M. Hospedales, Miguel R. D. Rodrigues	Impact of Noise on Calibration and Generalisation of Neural Networks.	CoRR	2023	DBLP DOI BibTeX RDF
16	Simone Ciceri, Lorenzo Cassani, Pierre Pizzochero, Matteo Osella, Pietro Rotondo, Marco Gherardi	Inversion dynamics of class manifolds in deep learning reveals tradeoffs underlying generalisation.	CoRR	2023	DBLP DOI BibTeX RDF
16	Lachlan Ewen MacDonald, Jack Valmadre, Simon Lucey	On progressive sharpening, flat minima and generalisation.	CoRR	2023	DBLP DOI BibTeX RDF
16	Herbert De Gersem, Thomas Weiland	Reformulation and generalisation of the air-gap element.	CoRR	2023	DBLP DOI BibTeX RDF