Xavier Hinaut

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All published works

Action	Title	Year	Authors
+	Deploying Open-Source Large Language Models: A Performance Analysis	2024	Yannis Bendi-Ouis Dan Dutartre Xavier Hinaut
+	Evolving Reservoirs for Meta Reinforcement Learning	2024	Corentin Léger Gautier Hamon Eleni Nisioti Xavier Hinaut Clément Moulin-Frier
+	Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey)	2023	Subba Reddy Oota Manish Gupta Raju S. Bapi Gaël Jobard Frédéric Alexandre Xavier Hinaut
+	Evolving Reservoirs for Meta Reinforcement Learning	2023	Corentin Léger Gautier Hamon Eleni Nisioti Xavier Hinaut Clément Moulin-Frier
+	Transfer between long-term and short-term memory using Conceptors	2020	Anthony Strock Nicolas P. Rougier Xavier Hinaut
+	A journey in ESN and LSTM visualisations on a language task	2020	Alexandre Variengien Xavier Hinaut
+ PDF Chat	A Simple Reservoir Model of Working Memory with Real Values	2018	Anthony Strock Nicolas P. Rougier Xavier Hinaut
+	A Simple Reservoir Model of Working Memory with Real Values.	2018	Anthony Strock Nicolas P. Rougier Xavier Hinaut
+ PDF Chat	Sustainable computational science: the ReScience initiative	2017	Nicolas P. Rougier Konrad Hinsen Frédéric Alexandre Thomas Arildsen Lorena A. Barba Fabien Benureau C. Titus Brown Pierre de Buyl Ozan Çağlayan Andrew P. Davison

Common Coauthors

Coauthor	Papers Together
Nicolas P. Rougier	4
Anthony Strock	3
Frédéric Alexandre	2
Eleni Nisioti	2
Gautier Hamon	2
Corentin Léger	2
Clément Moulin-Frier	2
Federico Vaggi	1
Etienne B. Roesch	1
Cyrille Rossant	1
Pierre Enel	1
Alexandra K. Diem	1
Dan Dutartre	1
Benoît Girard	1
Matt G. Hall	1
Owen L. Petchey	1
Lorena A. Barba	1
Subba Reddy Oota	1
C. Titus Brown	1
Tiina Manninen	1
Karthik Ram	1
Aaron R. Shifman	1
Georgios Detorakis	1
Hans Ekkehard Pleßer	1
Pierre de Buyl	1
Daniel J. McGlinn	1
Yoav Ram	1
Raju S. Bapi	1
Roman Yurchak	1
Jemma Stachelek	1
Olivia Guest	1
Fabien Benureau	1
Pietro Marchesi	1
Timothée Poisot	1
Marcel Stimberg	1
Tiziano Zito	1
Frank Stollmeier	1
Anya E. Vostinar	1
Gaël Jobard	1
Manish Gupta	1
Vahid Rostami	1
Rafael Neto Henriques	1
Almar Klein	1
Damien Drix	1
Marc‐André Delsuc	1
Manish Gupta	1
Andrew P. Davison	1
Ozan Çağlayan	1
Christoph Metzner	1
Thomas Arildsen	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Controlling Recurrent Neural Networks by Conceptors	2014	Herbert Jaeger	4
+ PDF Chat	Dynamics of random neural networks with bistable units	2014	Merav Stern Haim Sompolinsky L. F. Abbott	2
+	Reproducible and User-Controlled Software Environments in HPC with Guix	2015	Ludovic Courtès Ricardo Wurmus	1
+	Bringing the Gold Standard into the Classroom: Replication in University Teaching	2015	Nicole Janz	1
+	Reproducible and replicable CFD: it's harder than you think	2016	Olivier Mesnard Lorena A. Barba	1
+ PDF Chat	Enriching Word Vectors with Subword Information	2017	Piotr Bojanowski Édouard Grave Armand Joulin Tomáš Mikolov	1
+ PDF Chat	Software Carpentry: lessons learned	2016	Greg Wilson	1
+ PDF Chat	Toward abstraction from multi-modal data: Empirical studies on multiple time-scale recurrent models	2017	Junpei Zhong Angelo Cangelosi Tetsuya Ogata	1
+ PDF Chat	Best Practices for Scientific Computing	2014	Greg Wilson D. A. Aruliah C. Titus Brown Neil Chue Hong M. Ryleigh Davis Richard Guy Steven H. D. Haddock Kathryn D. Huff Ian M. Mitchell Mark D. Plumbley	1
+ PDF Chat	Investigating Echo-State Networks Dynamics by Means of Recurrence Analysis	2016	Filippo Maria Bianchi Lorenzo Livi Cesare Alippi	1
+	Recent advances in physical reservoir computing: A review	2019	Gouhei Tanaka Toshiyuki Yamane J. B. Héroux Ryosho Nakane Naoki Kanazawa Seiji Takeda Hidetoshi Numata Daiju Nakano Akira Hirose	1
+ PDF Chat	WordNet2Vec: Corpora Agnostic Word Vectorization Method	2020	Roman Bartusiak Łukasz Augustyniak Tomasz Kajdanowicz Przemysław Kazienko Maciej Piasecki	1
+	Comparison between DeepESNs and gated RNNs on multivariate time-series prediction	2018	Claudio Gallicchio Alessio Micheli Luca Pedrelli	1
+ PDF Chat	A modular architecture for transparent computation in recurrent neural networks	2016	Giovanni Sirio Carmantini Peter beim Graben Mathieu Desroches Serafim Rodrigues	1
+	Like a Baby: Visually Situated Neural Language Acquisition	2019	Alexander G. Ororbia Ankur Mali Matthew Gardner Kelly David Reitter	1
+ PDF Chat	ConceptNet 5.5: An Open Multilingual Graph of General Knowledge	2017	Robert E. Speer Joshua Chin Catherine Havasi	1
+	Learning to Generate Reviews and Discovering Sentiment	2017	Alec Radford Rafał Józefowicz Ilya Sutskever	1
+ PDF Chat	Journal of Open Source Software (JOSS): design and first-year review	2018	Arfon M. Smith Kyle E. Niemeyer Daniel S. Katz Lorena A. Barba George Githinji Melissa Gymrek Kathryn D. Huff Christopher R. Madan Abigail Cabunoc Mayes Kevin M. Moerman	1
+ PDF Chat	LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks	2017	Hendrik Strobelt Sebastian Gehrmann Hanspeter Pfister Alexander M. Rush	1
+ PDF Chat	full-FORCE: A target-based method for training recurrent networks	2018	Brian DePasquale Christopher J. Cueva Kanaka Rajan G. Sean Escola L. F. Abbott	1
+	An efficient framework for learning sentence representations	2018	Lajanugen Logeswaran Honglak Lee	1
+	UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction	2018	Leland McInnes John J. Healy	1
+	Inducing brain-relevant bias in natural language processing models	2019	Dan Schwartz Mariya Toneva Leila Wehbe	1
+ PDF Chat	Dissecting Contextual Word Embeddings: Architecture and Representation	2018	Matthew E. Peters Mark E Neumann Luke Zettlemoyer Wen-tau Yih	1
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	1
+ PDF Chat	Evolutionary aspects of reservoir computing	2019	Luís F. Seoane	1
+ PDF Chat	Multiple chaotic central pattern generators with learning for legged locomotion and malfunction compensation	2014	Guanjiao Ren Weihai Chen Sakyasingha Dasgupta Christoph Kolodziejski Florentin Wörgötter Poramate Manoonpong	1
+	GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding	2018	Alex Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel Bowman	1
+ PDF Chat	Decoding individual differences in STEM learning from functional MRI data	2019	Joshua S. Cetron Andrew C. Connolly Solomon Diamond Vicki May James V. Haxby David J. M. Kraemer	1
+	Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)	2019	Mariya Toneva Leila Wehbe	1
+	Visualizing and Understanding Recurrent Networks	2015	Andrej Karpathy Justin Johnson Li Fei-Fei	1
+ PDF Chat	Voxelwise encoding models with non-spherical multivariate normal priors	2019	Anwar O. Núñez-Elizalde Alexander G. Huth Jack L. Gallant	1
+	From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI	2019	Roman Beliy Guy Gaziv Assaf Hoogi Francesca Strappini Tal Golan Michal Irani	1
+ PDF Chat	Continual Learning for Sentence Representations Using Conceptors	2019	Tianlin Liu Lyle Ungar João Sedoc	1
+ PDF Chat	Finding syntax in human encephalography with beam search	2018	John Hale Chris Dyer Adhiguna Kuncoro Jonathan Brennan	1
+ PDF Chat	fMRI Semantic Category Decoding Using Linguistic Encoding of Word Embeddings	2018	Subba Reddy Oota Naresh Manwani Raju S. Bapi	1
+	Generic decoding of seen and imagined objects using hierarchical visual features	2017	Tomoyasu Horikawa Yukiyasu Kamitani	1
+ PDF Chat	Relating Simple Sentence Representations in Deep Neural Networks and the Brain	2019	Sharmistha Jat Hao Tang Partha Talukdar Tom M. Mitchell	1
+ PDF Chat	Supervised Learning of Universal Sentence Representations from Natural Language Inference Data	2017	Alexis Conneau Douwe Kiela Holger Schwenk Loïc Barrault Antoine Bordes	1
+	Transformer-XL: Attentive Language Models beyond a Fixed-Length Context	2019	Zihang Dai Zhilin Yang Yiming Yang Jaime Carbonell Quoc V. Le Ruslan Salakhutdinov	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+	RoBERTa: A Robustly Optimized BERT Pretraining Approach	2019	Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy Mike Lewis Luke Zettlemoyer Veselin Stoyanov	1
+	LXMERT: Learning Cross-Modality Encoder Representations from Transformers	2019	Hao Tan Mohit Bansal	1
+	The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence	2019	Radoslaw M. Cichy Gemma Roig Alex Andonian Kshitij Dwivedi Benjamin Lahner Alex Lascelles Yalda Mohsenzadeh Kandan Ramakrishnan Aude Oliva	1
+	Linking artificial and human neural representations of language	2019	Jon Gauthier Roger Lévy	1
+	Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs	2019	Jonas Kubilius Martin Schrimpf Kohitij Kar Ha Hong Najib J. Majaj Rishi Rajalingham Elias B. Issa Pouya Bashivan Jonathan Prescott-Roy Kailyn Schmidt	1
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+	CogniVal: A Framework for Cognitive Word Embedding Evaluation	2019	Nora Hollenstein Antonio de la Torre Nicolas Langer Ce Zhang	1
+	Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples	2022	Angie Boggust Brandon Carter Arvind Satyanarayan	1
+	Efficient Estimation of Word Representations in Vector Space	2013	Tomáš Mikolov Kai Chen Greg S. Corrado Jay B. Dean	1