Xingchang Huang

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All published works

Action	Title	Year	Authors
+ PDF Chat	Edge-preserving noise for diffusion models	2024	Jente Vandersanden Sascha Holl Xingchang Huang Gurprit Singh
+ PDF Chat	Multiple importance sampling for stochastic gradient estimation	2024	Corentin Salaün Xingchang Huang Iliyan Georgiev Niloy J. Mitra Gurprit Singh
+ PDF Chat	Blue noise for diffusion models	2024	Xingchang Huang Corentin Salaün Cristina Nader Vasconcelos Christian Theobalt A. Cengiz Öztireli Gurprit Singh
+ PDF Chat	Blue noise for diffusion models	2024	Xingchang Huang Corentin Salaün Cristina Nader Vasconcelos Christian Theobalt Cengiz Öztireli Gurprit Singh
+ PDF Chat	Patternshop: Editing Point Patterns by Image Manipulation	2023	Xingchang Huang T. Ritschel Hans‐Peter Seidel Pooran Memari Gurprit Singh
+ PDF Chat	Patternshop: Editing Point Patterns by Image Manipulation	2023	Xingchang Huang T. Ritschel Hans‐Peter Seidel Pooran Memari Gurprit Singh
+	Efficient Gradient Estimation via Adaptive Sampling and Importance Sampling	2023	Corentin Salaün Xingchang Huang Iliyan Georgiev Niloy J. Mitra Gurprit Singh
+	Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks	2021	Zixuan Ke Bing Liu Xingchang Huang

Common Coauthors

Coauthor	Papers Together
Gurprit Singh	7
Corentin Salaün	4
Cristina Nader Vasconcelos	2
Iliyan Georgiev	2
T. Ritschel	2
Christian Theobalt	2
Hans‐Peter Seidel	2
Pooran Memari	2
Niloy J. Mitra	2
Jente Vandersanden	1
Zixuan Ke	1
A. Cengiz Öztireli	1
Cengiz Öztireli	1
Bing Liu	1
Sascha Holl	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Scalable Multi-Class Sampling via Filtered Sliced Optimal Transport	2022	Corentin Salaün Iliyan Georgiev Hans-Peter Seidel Gurprit Singh	2
+ PDF Chat	StarGAN v2: Diverse Image Synthesis for Multiple Domains	2020	Yunjey Choi Youngjung Uh Jaejun Yoo Jung-Woo Ha	2
+	Learning without Forgetting	2017	Zhizhong Li Derek Hoiem	1
+	Low-discrepancy blue noise sampling	2016	Abdalla G. M. Ahmed Hélène Perrier David Cœurjolly Victor Ostromoukhov Jianwei Guo Dong‐Ming Yan Hui Huang Oliver Deußen	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
+	PathNet: Evolution Channels Gradient Descent in Super Neural Networks	2017	Chrisantha Fernando Dylan Banarse Charles Blundell Yori Zwólš David Ha Andrei A. Rusu Alexander Pritzel Daan Wierstra	1
+	Overcoming Catastrophic Forgetting by Incremental Moment Matching	2017	Sang-Woo Lee Jin-Hwa Kim Jae-Hyun Jun Jung-Woo Ha Byoung‐Tak Zhang	1
+	A Strategy for an Uncompromising Incremental Learner	2017	Ragav Venkatesan Hemanth Venkateswara Sethuraman Panchanathan Baoxin Li	1
+ PDF Chat	Diffusion-based neuromodulation can eliminate catastrophic forgetting in simple neural networks	2017	Roby Velez Jeff Clune	1
+	Deep Generative Dual Memory Network for Continual Learning	2017	Nitin Kamra Umang Gupta Yan Liu	1
+	FearNet: Brain-Inspired Model for Incremental Learning	2017	Ronald Kemker Christopher Kanan	1
+	Alleviating catastrophic forgetting using context-dependent gating and synaptic stabilization	2018	Nicolas Y. Masse Gregory D. Grant David J. Freedman	1
+	Continual lifelong learning with neural networks: A review	2019	German I. Parisi Ronald Kemker Jose L. Part Christopher Kanan Stefan Wermter	1
+ PDF Chat	Non-stationary texture synthesis by adversarial expansion	2018	Yang Zhou Zhen Zhu Xiang Bai Dani Lischinski Daniel Cohen‐Or Hui Huang	1
+	LEAF: A Benchmark for Federated Settings	2018	Sebastian Caldas Peter Wu Li Tian Jakub Konečný H. Brendan McMahan Virginia Smith Ameet Talwalkar	1
+	Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting	2019	Xi-Lai Li Yingbo Zhou Tianfu Wu Richard Socher Caiming Xiong	1
+	Three scenarios for continual learning	2019	Gido M. van de Ven Andreas S. Tolias	1
+	Policy Consolidation for Continual Reinforcement Learning	2019	Christos Kaplanis Murray Shanahan Claudia Clopath	1
+ PDF Chat	PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning	2018	Arun Mallya Svetlana Lazebnik	1
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	1
+	Lifelong Learning with Dynamically Expandable Networks	2017	Jaehong Yoon Eunho Yang Jeongtae Lee Sung Ju Hwang	1
+	Continual Learning with Deep Generative Replay	2017	Hanul Shin Jung Kwon Lee Jaehong Kim Jiwon Kim	1
+ PDF Chat	Memory Aware Synapses: Learning What (not) to Forget	2018	Rahaf Aljundi Francesca Babiloni Mohamed Elhoseiny Marcus Rohrbach Tinne Tuytelaars	1
+	Overcoming catastrophic forgetting with hard attention to the task	2018	Joan Serrà Dídac Surís Marius Miron Alexandros Karatzoglou	1
+ PDF Chat	Active Mini-Batch Sampling Using Repulsive Point Processes	2019	Cheng Zhang Cengiz Öztireli Stephan Mandt Giampiero Salvi	1
+	Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay	2019	Mohammad Rostami Soheil Kolouri Praveen K. Pilly	1
+	Experience Replay for Continual Learning	2019	David Rolnick Arun Ahuja Jonathan Schwarz Timothy Lillicrap Gregory Wayne	1
+ PDF Chat	Learning Without Memorizing	2019	Prithviraj Dhar Rajat Singh Kuan-Chuan Peng Ziyan Wu Rama Chellappa	1
+ PDF Chat	SinGAN: Learning a Generative Model From a Single Natural Image	2019	Tamar Rott Shaham Tali Dekel Tomer Michaeli	1
+ PDF Chat	Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?	2019	Rameen Abdal Yipeng Qin Peter Wonka	1
+	Continual learning with hypernetworks	2020	Johannes von Oswald Christian Henning João Sacramento Benjamin F. Grewe	1
+ PDF Chat	iTAML: An Incremental Task-Agnostic Meta-learning Approach	2020	Jathushan Rajasegaran Salman Khan Munawar Hayat Fahad Shahbaz Khan Mubarak Shah	1
+ PDF Chat	Learning a Neural 3D Texture Space From 2D Exemplars	2020	Philipp Henzler Niloy J. Mitra Tobias Ritschel	1
+ PDF Chat	Discovering pattern structure using differentiable compositing	2020	Pradyumna Reddy Paul Guerrero Matt Fisher Wilmot Li Niloy J. Mitra	1
+ PDF Chat	Perceptual Error Optimization for Monte Carlo Rendering	2022	Vassillen Chizhov Iliyan Georgiev Karol Myszkowski Gurprit Singh	1
+ PDF Chat	Monte Carlo convolution for learning on non-uniformly sampled point clouds	2018	Pedro Hermosilla Tobias Ritschel Pere‐Pau Vázquez Àlvar Vinacua Timo Ropinski	1
+	DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps	2022	Cheng Lü Yuhao Zhou Fan Bao J.F. Chen Chongxuan Li Jun Zhu	1
+	Elucidating the Design Space of Diffusion-Based Generative Models	2022	Tero Karras Miika Aittala Timo Aila Samuli Laine	1
+	Video Diffusion Models	2022	Jonathan Ho Tim Salimans Alexey A. Gritsenko William Chan Mohammad Norouzi David J. Fleet	1
+ PDF Chat	High-Resolution Image Synthesis with Latent Diffusion Models	2022	Robin Rombach Andreas Blattmann Dominik Lorenz Patrick Esser Björn Ommer	1
+	Normalized and differential convolution	2002	Hans Knutsson C.-F. Westin	1
+ PDF Chat	Wavelet Diffusion Models are fast and scalable Image Generators	2023	Hao Phung Quan Dao Anh Tran	1
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	1