Le Chang

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All published works

Action	Title	Year	Authors
+ PDF Chat	DisQ: A Markov Decision Process Based Language for Quantum Distributed Systems	2024	Le Chang Saitej Yavvari Rance Cleaveland S. Basu Liyi Li
+ PDF Chat	Human-like object concept representations emerge naturally in multimodal large language models	2024	Changde Du Kaicheng Fu Bin Wen Yi Sun Jie Peng Wei Wei Ying Gao Shengpei Wang Chuncheng Zhang Jinpeng Li
+ PDF Chat	The Quantum Abstract Machine	2024	Liyi Li Le Chang Rance Cleaveland Mingwei Zhu Xiaodi Wu
+	Challenges and Contributing Factors in the Utilization of Large Language Models (LLMs)	2023	Xiaoliang Chen Liangbin Li Le Chang Yunhe Huang Yuxuan Zhao Yuxiao Zhang Dinuo Li
+ PDF Chat	Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons	2021	Irina Higgins Le Chang Victoria Langston Demis Hassabis Christopher Summerfield Doris Y. Tsao Matthew Botvinick
+	Unsupervised deep learning identifies semantic disentanglement in single inferotemporal neurons	2020	Irina Higgins Le Chang Victoria Langston Demis Hassabis Christopher Summerfield Doris Y. Tsao Matthew Botvinick
+	Optimized approximate inverse Laplace transform for geo-deformation computation in viscoelastic Earth model	2020	He Tang Lan Zhang Le Chang Wenke Sun

Common Coauthors

Coauthor	Papers Together
Doris Y. Tsao	2
Liyi Li	2
Rance Cleaveland	2
Matthew Botvinick	2
Victoria Langston	2
Christopher Summerfield	2
Irina Higgins	2
Demis Hassabis	2
Chuncheng Zhang	1
Lan Zhang	1
Wei Wei	1
Yi Sun	1
Huiguang He	1
Xiaoliang Chen	1
Jinpeng Li	1
Bin Wen	1
S. Basu	1
Shuang Qiu	1
Ying Gao	1
Yuxuan Zhao	1
Jie Peng	1
Dinuo Li	1
Saitej Yavvari	1
Shengpei Wang	1
Wenke Sun	1
Yunhe Huang	1
Kaicheng Fu	1
Yuxiao Zhang	1
He Tang	1
Xiaodi Wu	1
Mingwei Zhu	1
Changde Du	1
Liangbin Li	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Inferotemporal neurons represent low-dimensional configurations of parameterized shapes	2001	Hans Op de Beeck Johan Wagemans Rufin Vogels	2
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	Deep Learning Face Attributes in the Wild	2015	Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang	2
+ PDF Chat	Infants’ statistical learning: 2- and 5-month-olds’ segmentation of continuous visual sequences	2015	Lauren K. Slone Scott P. Johnson	2
+	The Developing Infant Creates a Curriculum for Statistical Learning	2018	Linda B. Smith Swapnaa Jayaraman Elizabeth M. Clerkin Chen Yu	2
+	How can deep learning advance computational modeling of sensory information processing?	2018	Jessica A. F. Thompson Yoshua Bengio Elia Formisano Marc Schönwiesner	2
+	Towards a Definition of Disentangled Representations	2018	Irina Higgins David Amos David Pfau Sébastien Racanière Löıc Matthey Danilo Jimenez Rezende Alexander Lerchner	2
+	Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations	2018	Francesco Locatello Stefan Bauer Mario Lučić Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem	2
+	Stochastic Backpropagation and Approximate Inference in Deep Generative Models	2014	Danilo Jimenez Rezende Shakir Mohamed Daan Wierstra	2
+	Learning Deep Disentangled Embeddings With the F-Statistic Loss	2018	Karl Ridgeway Michael C. Mozer	2
+ PDF Chat	Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future	2020	Grace W. Lindsay	2
+ PDF Chat	Reconstructing faces from fMRI patterns using deep generative neural networks	2019	Rufin VanRullen Leila Reddy	1
+ PDF Chat	Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream	2015	Umut Güçlü Marcel van Gerven	1
+ PDF Chat	High-Fidelity Synthesis with Disentangled Representation	2020	Wonkwang Lee Donggyun Kim Seunghoon Hong Honglak Lee	1
+	Multi‐precision Laplace transform inversion	2004	Joseph Abate Peter P. Valkó	1
+ PDF Chat	Approximate formulae for numerical inversion of Laplace transforms	1998	Juraj Valsa Lubomír Brančík	1
+	Algorithms and Applications	1985	John Skilling S. F. Gull	1
+ PDF Chat	Representation Learning: A Review and New Perspectives	2013	Yoshua Bengio Aaron Courville P. M. Durai Raj Vincent	1
+	DARLA: Improving Zero-Shot Transfer in Reinforcement Learning	2017	Irina Higgins Arka Pal Andrei A. Rusu Löıc Matthey Christopher Burgess Alexander Pritzel Matthew Botvinick Charles Blundell Alexander Lerchner	1
+	MONet: Unsupervised Scene Decomposition and Representation	2019	Christopher Burgess Löıc Matthey Nicholas Watters Rishabh Kabra Irina Higgins Matthew Botvinick Alexander Lerchner	1
+	Weakly-Supervised Disentanglement Without Compromises	2020	Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen	1