Kohei Hayashi

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All published works

Action	Title	Year	Authors
+	Derivation of Coupled KPZ Equations from Interacting Diffusions Driven by a Single-Site Potential	2024	Kohei Hayashi
+ PDF Chat	Extended Flow Matching: a Method of Conditional Generation with Generalized Continuity Equation	2024	Noboru Isobe Masanori Koyama Kohei Hayashi Kenji Fukumizu
+ PDF Chat	CFTM: Continuous time fractional topic model	2024	Kei Nakagawa Kohei Hayashi Yugo Fujimoto
+	Derivation of the stochastic Burgers equation from totally asymmetric interacting particle systems	2022	Kohei Hayashi
+ PDF Chat	Fractional SDE-Net: Generation of Time Series Data with Long-term Memory	2022	Kohei Hayashi Kei Nakagawa
+	A Scaling Law for Synthetic-to-Real Transfer: A Measure of Pre-Training.	2021	Hiroaki Mikami Kenji Fukumizu Shogo Murai Shuji Suzuki Yuta Kikuchi Taiji Suzuki Shin‐ichi Maeda Kohei Hayashi
+ PDF Chat	First follow-up of transient events with the CTA Large Size Telescope prototype	2021	A. Carosi Hyuga Abe Arnau Aguasca I. Agudo L. A. Antonelli Carla Aramo T. P. Armstrong Manuel Artero Katsuaki Asano Halim Ashkar
+ PDF Chat	Commissioning of the camera of the first Large Size Telescope of the Cherenkov Telescope Array	2021	Takayuki Saito Ivana Batković Josefa Becerra Gonzalez Irene Jiménez Martínez Ruben Lopez-Coto Manel Martinez S. Mičanović Hyuga Abe Arnau Aguasca I. Agudo
+ PDF Chat	Monitoring the pointing of the Large Size Telescope prototype using star reconstruction in the Cherenkov camera	2021	Luca Foffano A. Carosi Domenico Della Volpe M. Dalchenko Matthieu Heller T. Montaruli Hyuga Abe Arnau Aguasca I. Agudo L. A. Antonelli
+ PDF Chat	Cross-calibration and combined analysis of the CTA-LST prototype and the MAGIC telescopes	2021	Yoshiki Ohtani A. Berti Davide Depaoli F. Di Pierro Jarred Gershon Green Lea Heckmann Moritz Hütten Tomohiro Inada R. López-Coto Elisabetta Medina
+ PDF Chat	Camera Calibration of the CTA-LST prototype	2021	Yukiho Kobayashi A. Okumura F. Cassol-Brunner H. Katagiri J. Sitarek Paweł Gliwny S. Nozaki Hyuga Abe Arnau Aguasca I. Agudo
+	A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective?	2021	Hiroaki Mikami Kenji Fukumizu Shogo Murai Shuji Suzuki Yuta Kikuchi Taiji Suzuki Shin‐ichi Maeda Kohei Hayashi
+	Data Interpolating Prediction: Alternative Interpretation of Mixup	2019	Takuya Shimada Shoichiro Yamaguchi Kohei Hayashi Sosuke Kobayashi
+	A kernel-based approach for matrix and tensor completion	2011	Kohei Hayashi Takashi Takenouchi Ryota Tomioka Hisashi Kashima

Common Coauthors

Coauthor	Papers Together
Jorge Otero-Santos	5
E. Prandini	5
Andrés Baquero	5
Patricia Márquez	5
Enrique Mestre Guillen	5
Jelena Strišković	5
Chaitanya Priyadarshi	5
V. Rizi	5
Hyuga Abe	5
D. Horns	5
José Enrique Ruiz	5
A. López-Oramas	5
D. Nieto	5
A. Carosi	5
J. L. Contreras	5
G. Lamanna	5
Y. Terada	5
Pedro L. Luque‐Escamilla	5
P. Bordas	5
Aya Bamba	5
U. Barres de Almeida	5
J. Sitarek	5
K. Nishijima	5
R. Walter	5
F. Schüßler	5
T. P. Armstrong	5
Luis David Medina Miranda	5
Francesco Gabriele Saturni	5
Irene Burelli	5
Jan Lukas Schubert	5
Alvaro Mas-Aguilar	5
A. K. H. Kong	5
M. Seglar-Arroyo	5
Fuyuki Tokanai	5
Moritz Hütten	5
Juliane van Scherpenberg	5
D. Nosek	5
Yoshiki Ohtani	5
Mathieu de Bony de Lavergne	5
P. Temnikov	5
H. Tajima	5
O. Blanch	5
M. Mariotti	5
Paweł Gliwny	5
C. Delgado Mendez	5
Jarred Gershon Green	5
Noah Biederbeck	5
Thomas Vuillaume	5
Daniel Morcuende	5
M. Ribó	5

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Stochastic Burgers and KPZ Equations from Particle Systems	1997	Lorenzo Bertini Giambattista Giacomin	2
+ PDF Chat	KPZ Reloaded	2016	Massimiliano Gubinelli Nicolas Perkowski	2
+	Brownian analogues of Burke's theorem	2001	Neil O’Connell Marc Yor	2
+ PDF Chat	THE KARDAR–PARISI–ZHANG EQUATION AND UNIVERSALITY CLASS	2011	Ivan Corwin	2
+ PDF Chat	Nonlinear Fluctuations of Weakly Asymmetric Interacting Particle Systems	2013	Patrícia Gonçalves Milton Jara	2
+	Energy solutions of KPZ are unique	2017	Massimiliano Gubinelli Nicolas Perkowski	2
+ PDF Chat	The infinitesimal generator of the stochastic Burgers equation	2020	Massimiliano Gubinelli Nicolas Perkowski	2
+	Scaling of the Sasamoto-Spohn model in equilibrium	2019	Milton Jara Gregorio R. Moreno Flores	2
+	Stationary directed polymers and energy solutions of the Burgers equation	2020	Milton Jara Gregorio R. Moreno Flores	2
+ PDF Chat	Dynamic Scaling of Growing Interfaces	1986	Mehran Kardar Giorgio Parisi Yi-Cheng Zhang	2
+ PDF Chat	Solving the KPZ equation	2013	Martin Hairer	2
+ PDF Chat	The Kardar–Parisi–Zhang Equation as Scaling Limit of Weakly Asymmetric Interacting Brownian Motions	2017	Joscha Diehl Massimiliano Gubinelli Nicolas Perkowski	2
+ PDF Chat	A theory of regularity structures	2014	Martin Hairer	2
+ PDF Chat	Simulation of imaging atmospheric Cherenkov telescopes with CORSIKA and sim_telarray	2008	K. Bernlöhr	1
+ PDF Chat	An inequality of the Hölder type, connected with Stieltjes integration	1936	Louise Young	1
+ PDF Chat	Exact Rate of Convergence of Some Approximation Schemes Associated to SDEs Driven by a Fractional Brownian Motion	2007	Andreas Neuenkirch Ivan Nourdin	1
+ PDF Chat	Tightness of Probabilities On $C(\lbrack 0, 1 \rbrack; \mathscr{Y}')$ and $D(\lbrack 0, 1 \rbrack; \mathscr{Y}')$	1983	Itaru Mitoma	1
+	Diffusion of directed polymers in a random environment	1988	John Imbrie Thomas Spencer	1
+ PDF Chat	Central limit theorem for additive functionals of reversible Markov processes and applications to simple exclusions	1986	C. Kipnis S. R. S. Varadhan	1
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	1
+	What makes ImageNet good for transfer learning	2016	Minyoung Huh Pulkit Agrawal Alexei A. Efros	1
+ PDF Chat	How Useful Is Photo-Realistic Rendering for Visual Learning?	2016	Yair Movshovitz-Attias Takeo Kanade Yaser Sheikh	1
+	A coupled KPZ equation, its two types of approximations and existence of global solutions	2017	Tadahisa Funaki Masato Hoshino	1
+	C-RNN-GAN: Continuous recurrent neural networks with adversarial training	2016	Olof Mogren	1
+	Overcoming catastrophic forgetting in neural networks	2017	James Kirkpatrick Razvan Pascanu Neil C. Rabinowitz Joel Veness Guillaume Desjardins Andrei A. Rusu Kieran Milan John Quan Tiago Ramalho Agnieszka Grabska‐Barwińska	1
+ PDF Chat	Feature Pyramid Networks for Object Detection	2017	Tsung-Yi Lin Piotr Dollár Ross Girshick Kaiming He Bharath Hariharan Serge Belongie	1
+	Synthesizing Training Data for Object Detection in Indoor Scenes	2017	Georgios Georgakis Arsalan Mousavian Alexander C. Berg Jana Košecká	1
+ PDF Chat	Domain randomization for transferring deep neural networks from simulation to the real world	2017	Josh Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel	1
+	Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	2017	Priya Goyal Piotr Dollár Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He	1
+	Rethinking Atrous Convolution for Semantic Image Segmentation	2017	Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam	1
+ PDF Chat	Analysis techniques and performance of the Domino Ring Sampler version 4 based readout for the MAGIC telescopes	2013	J. Sitarek M. Gaug D. Mazin R. Paoletti D. Tescaro	1
+ PDF Chat	Identity Mappings in Deep Residual Networks	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Applying Domain Randomization to Synthetic Data for Object Category Detection	2018	João Borrego Atabak Dehban Rui Figueiredo Plínio Moreno Alexandre Bernardino José Santos-Victor	1
+	The benefit of multitask representation learning	2016	Andreas Maurer Massimiliano Pontil Bernardino Romera‐Paredes	1
+ PDF Chat	Dropout Rademacher complexity of deep neural networks	2016	Wei Gao Zhi‐Hua Zhou	1
+	Neural Tangent Kernel: Convergence and Generalization in Neural Networks	2018	Arthur Paul Jacot Franck Gabriel Clément Hongler	1
+ PDF Chat	$\operatorname{ASEP}(q,j)$ converges to the KPZ equation	2018	Ivan Corwin Hao Shen Li-Cheng Tsai	1
+	Data Augmentation by Pairing Samples for Images Classification	2018	Hiroshi Inoue	1
+	Deep Learning Scaling is Predictable, Empirically	2017	Joel Hestness Sharan Narang Newsha Ardalani Gregory Diamos Heewoo Jun Hassan Kianinejad Md. Mostofa Ali Patwary Yang Yang Yanqi Zhou	1
+ PDF Chat	MixUp as Locally Linear Out-of-Manifold Regularization	2019	Hongyu Guo Yongyi Mao Richong Zhang	1
+	An Annotation Saved is an Annotation Earned: Using Fully Synthetic Training for Object Instance Detection	2019	Stefan Hinterstoißer Olivier Pauly Hauke Heibel Martina Marek Martin Bokeloh	1
+	Neural Jump Stochastic Differential Equations	2019	Junteng Jia Austin R. Benson	1
+	Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise	2019	Xuanqing Liu Tesi Xiao Si Si Cao Qin Sanjiv Kumar Cho‐Jui Hsieh	1
+	ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness	2018	Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix A. Wichmann Wieland Brendel	1
+	Latent ODEs for Irregularly-Sampled Time Series	2019	Yulia Rubanova Ricky T. Q. Chen David Duvenaud	1
+ PDF Chat	Calibration and monitoring of the ASTRI-Horn telescope by using the night-sky background measured by the photon-statistics ("variance") method	2019	A. Segreto O. Catalano M. C. Maccarone T. Mineo A. La Barbera For on behalf of the CTA ASTRI Project	1
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+ PDF Chat	Revisiting Unreasonable Effectiveness of Data in Deep Learning Era	2017	Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Between-class Learning for Image Classification	2017	Yuji Tokozume Yoshitaka Ushiku Tatsuya Harada	1