Jinkyoo Park

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All published works

Action	Title	Year	Authors
+ PDF Chat	CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems	2025	Chuanbo Hua Federico Berto Jiwoo Son Sung Mo Kang Changhyun Kwon Jinkyoo Park
+ PDF Chat	MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks	2024	Nayoung Kim Seongsu Kim Minsu Kim Jinkyoo Park Sungsoo Ahn
+ PDF Chat	Generative Flows on Synthetic Pathway for Drug Design	2024	Seonghwan Seo Minsu Kim Tony S. Shen Martin Ester Jinkyoo Park Sung Soo Ahn Woo Youn Kim
+ PDF Chat	Improved Off-policy Reinforcement Learning in Biological Sequence Design	2024	Hyeonah Kim Min‐Su Kim Taeyoung Yun Sanghyeok Choi Emmanuel Bengio Álex Hernández-García Jinkyoo Park
+ PDF Chat	Adaptive teachers for amortized samplers	2024	Minsu Kim Sanghyeok Choi Taeyoung Yun Emmanuel Bengio Leo Feng Jarrid Rector-Brooks Sungsoo Ahn Jinkyoo Park Nikolay Malkin Yoshua Bengio
+ PDF Chat	Learning Strategy Representation for Imitation Learning in Multi-Agent Games	2024	Shiqi Lei K. Lee Linjing Li Jinkyoo Park
+ PDF Chat	PARCO: Learning Parallel Autoregressive Policies for Efficient Multi-Agent Combinatorial Optimization	2024	Federico Berto Chuanbo Hua Laurin Luttmann Jiwoo Son Jun-Young Park Kyuree Ahn Changhyun Kwon Lin Xie Jinkyoo Park
+ PDF Chat	An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems	2024	Tae-Young Yun Kanghoon Lee Sujin Yun Ilmyung Kim Won-Woo Jung Min-Cheol Kwon K. Choi Y.H. Lee Jinkyoo Park
+ PDF Chat	An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems	2024	Tae-Young Yun Kanghoon Lee Sujin Yun Ilmyung Kim Won-Woo Jung Min-Cheol Kwon K. Choi Y.H. Lee Jinkyoo Park
+ PDF Chat	Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization	2024	Taeyoung Yun Sujin Yun Jae Wook Lee Jinkyoo Park
+ PDF Chat	RouteFinder: Towards Foundation Models for Vehicle Routing Problems	2024	Federico Berto Chuanbo Hua Nayeli Gast Zepeda André Hottung Niels A. Wouda Leon Lan Kevin Tierney Jinkyoo Park
+ PDF Chat	Distributed Online Planning for Min-Max Problems in Networked Markov Games	2024	Alexandros E. Tzikas Jinkyoo Park Mykel J. Kochenderfer Ross Allen
+ PDF Chat	Distributed Online Planning for Min-Max Problems in Networked Markov Games	2024	Alexandros E. Tzikas Jinkyoo Park Mykel J. Kochenderfer Ross Allen
+ PDF Chat	GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning	2024	Jae-Woo Lee Sujin Yun Taeyoung Yun Jinkyoo Park
+ PDF Chat	Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context	2024	Jiwoo Son Minsu Kim Sanghyeok Choi Hyeonah Kim Jinkyoo Park
+ PDF Chat	Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding	2024	Huijie Tang Federico Berto Jinkyoo Park
+ PDF Chat	Ant Colony Sampling with GFlowNets for Combinatorial Optimization	2024	Minsu Kim Sanghyeok Choi Jiwoo Son Hyeonah Kim Jinkyoo Park Yoshua Bengio
+ PDF Chat	ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games	2024	Shiqi Lei K.-Y. Lee Linjing Li Jinkyoo Park J. Li
+ PDF Chat	HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding	2024	Huijie Tang Federico Berto Zihan Ma Chuanbo Hua Kyuree Ahn Jinkyoo Park
+ PDF Chat	Anfinsen Goes Neural: a Graphical Model for Conditional Antibody Design	2024	Nayoung Kim Min‐Soo Kim Jinkyoo Park
+ PDF Chat	Genetic-guided GFlowNets: Advancing in Practical Molecular Optimization Benchmark	2024	Hyeonah Kim Minsu Kim Sanghyeok Choi Jinkyoo Park
+ PDF Chat	A Neural Separation Algorithm for the Rounded Capacity Inequalities	2024	Hyeonah Kim Jinkyoo Park Changhyun Kwon
+	Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation	2024	Jiachen Li Chuanbo Hua Hengbo Ma Jinkyoo Park Victoria M. Dax Mykel J. Kochenderfer
+ PDF Chat	Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation	2024	Jiachen Li David Isele Kanghoon Lee Jinkyoo Park Kikuo Fujimura Mykel J. Kochenderfer
+ PDF Chat	Generating Dispatching Rules for the Interrupting Swap-Allowed Blocking Job Shop Problem Using Graph Neural Network and Reinforcement Learning	2023	Vivian Wen Hui Wong Sang Hun Kim Junyoung Park Jinkyoo Park Kincho H. Law
+ PDF Chat	Robust Driving Policy Learning with Guided Meta Reinforcement Learning	2023	Kanghoon Lee Jiachen Li David Isele Jinkyoo Park Kikuo Fujimura Mykel J. Kochendorfer
+	Learning Multivariate Hawkes Process via Graph Recurrent Neural Network	2023	Kanghoon Yoon Y.T. Im J.J. Choi T H Jeong Jinkyoo Park
+	Generating Dispatching Rules for the Interrupting Swap-Allowed Blocking Job Shop Problem Using Graph Neural Network and Reinforcement Learning	2023	Vivian Wen Hui Wong Sang Hun Kim Junyoung Park Jinkyoo Park Kincho H. Law
+	Enhancing Sample Efficiency in Black-box Combinatorial Optimization via Symmetric Replay Training	2023	Hyeonah Kim Minsu Kim Sungsoo Ahn Jinkyoo Park
+	Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization	2023	Jiwoo Son Minsu Kim Hyeonah Kim Jinkyoo Park
+	Solving NP-hard Min-max Routing Problems as Sequential Generation with Equity Context	2023	Jiwoo Son Minsu Kim Sanghyeok Choi Jinkyoo Park
+	Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences	2023	Minsu Kim Federico Berto Sung Soo Ahn Jinkyoo Park
+	Computing Algorithm for an Equilibrium of the Generalized Stackelberg Game	2023	Jaeyeon Jo Jihwan Yu Jinkyoo Park
+	RL4CO: a Unified Reinforcement Learning for Combinatorial Optimization Library	2023	Federico Berto Chuanbo Hua Junyoung Park Minsu Kim Hyeonah Kim Jiwoo Son Haeyeon Kim Joungho Kim Jinkyoo Park
+	A Neural Separation Algorithm for the Rounded Capacity Inequalities	2023	Hyeonah Kim Jinkyoo Park Changhyun Kwon
+	Robust Driving Policy Learning with Guided Meta Reinforcement Learning	2023	Kanghoon Lee Jiachen Li David Isele Jinkyoo Park Kikuo Fujimura Mykel J. Kochenderfer
+	Local Search GFlowNets	2023	Min Su Kim Taeyoung Yun Emmanuel Bengio Dinghuai Zhang Yoshua Bengio Sungsoo Ahn Jinkyoo Park
+	Learning to Scale Logits for Temperature-Conditional GFlowNets	2023	Min‐Su Kim J. Y. T. Ko Dinghuai Zhang Ling Pan Taeyoung Yun W. M. Kim Jinkyoo Park Yoshua Bengio
+	Genetic Algorithms with Neural Cost Predictor for Solving Hierarchical Vehicle Routing Problems	2023	Abhay Sobhanan Junyoung Park Jinkyoo Park Changhyun Kwon
+	Learning Efficient Surrogate Dynamic Models with Graph Spline Networks	2023	Chuanbo Hua Federico Berto Michael Poli Stefano Massaroli Jinkyoo Park
+	Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation	2023	Jiachen Li David Isele Kanghoon Lee Jinkyoo Park Kikuo Fujimura Mykel J. Kochenderfer
+ PDF Chat	Optimal Energy Shaping via Neural Approximators	2022	Stefano Massaroli Michael Poli Federico Califano Jinkyoo Park Atsushi Yamashita Hajime Asama
+	Neural Solvers for Fast and Accurate Numerical Optimal Control	2022	Federico Berto Stefano Massaroli Michael Poli Jinkyoo Park
+	DevFormer: A Symmetric Transformer for Context-Aware Device Placement	2022	Haeyeon Kim Minsu Kim Joungho Kim Jinkyoo Park
+	Meta-SysId: A Meta-Learning Approach for Simultaneous Identification and Prediction	2022	Jun-Young Park Federico Berto Arec Jamgochian Mykel J. Kochenderfer Jinkyoo Park
+	Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization	2022	Min-Su Kim Junyoung Park Jinkyoo Park
+	Neuro CROSS exchange: Learning to CROSS exchange to solve realistic vehicle routing problems	2022	Minjun Kim Junyoung Park Jinkyoo Park
+	EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for Trajectory Prediction	2022	Jiachen Li Chuanbo Hua Jinkyoo Park Hengbo Ma Victoria M. Dax Mykel J. Kochenderfer
+	Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior	2022	Yohan Jung Jinkyoo Park
+	Learning context-aware adaptive solvers to accelerate quadratic programming	2022	Haewon Jung Junyoung Park Jinkyoo Park
+	Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions	2021	Michael Poli Stefano Massaroli Luca Scimeca Sanghyuk Chun Seong Joon Oh Atsushi Yamashita Hajime Asama Jinkyoo Park Animesh Garg
+	Differentiable Multiple Shooting Layers	2021	Stefano Massaroli Michael Poli Sho Sonoda Taiji Suzuki Jinkyoo Park Atsushi Yamashita Hajime Asama
+	Learning Collaborative Policies to Solve NP-hard Routing Problems.	2021	Min-Su Kim Jinkyoo Park Joungho Kim
+	Neural Hybrid Automata: Learning Dynamics with Multiple Modes and Stochastic Transitions	2021	Michael Poli Stefano Massaroli Luca Scimeca Seong Joon Oh Sanghyuk Chun Atsushi Yamashita Hajime Asama Jinkyoo Park Animesh Garg
+ PDF Chat	Differentiable Multiple Shooting Layers	2021	Stefano Massaroli Michael Poli Sho Sonoda Taji Suzuki Jinkyoo Park Atsushi Yamashita Hajime Asama
+ PDF Chat	Learning Stochastic Optimal Policies via Gradient Descent	2021	Stefano Massaroli Michael Poli Stefano Peluchetti Jinkyoo Park Atsushi Yamashita Hajime Asama
+	Convergent Graph Solvers.	2021	Jun-Young Park Jinhyun Choo Jinkyoo Park
+	A Hypergraph Convolutional Neural Network for Molecular Properties Prediction using Functional Group.	2021	Fangying Chen Junyoung Park Jinkyoo Park
+ PDF Chat	Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning	2021	Junyoung Park Jaehyeong Chun Sang Hun Kim Youngkook Kim Jinkyoo Park
+ PDF Chat	Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning	2021	Heechang Ryu Hayong Shin Jinkyoo Park
+	Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning	2021	Heechang Ryu Hayong Shin Jinkyoo Park
+	ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learning	2021	Junyoung Park Sanjar Bakhtiyar Jinkyoo Park
+	Differentiable Multiple Shooting Layers	2021	Stefano Massaroli Michael Poli Sho Sonoda Taji Suzuki Jinkyoo Park Atsushi Yamashita Hajime Asama
+	Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning.	2021	Heechang Ryu Hayong Shin Jinkyoo Park
+	Continuous-Depth Neural Models for Dynamic Graph Prediction	2021	Michael Poli Stefano Massaroli Clayton M. Rabideau Junyoung Park Atsushi Yamashita Hajime Asama Jinkyoo Park
+	Learning Collaborative Policies to Solve NP-hard Routing Problems	2021	Minsu Kim Jinkyoo Park joungho kim
+	Neural Hybrid Automata: Learning Dynamics with Multiple Modes and Stochastic Transitions	2021	Michael Poli Stefano Massaroli Luca Scimeca Seung‐June Oh Sanghyuk Chun Atsushi Yamashita Hajime Asama Jinkyoo Park Animesh Garg
+	Convergent Graph Solvers	2021	Junyoung Park Jinhyun Choo Jinkyoo Park
+	A Molecular Hyper-message Passing Network with Functional Group Information	2021	Chen Fang-ying Junyoung Park Jinkyoo Park
+	Optimal Energy Shaping via Neural Approximators	2021	Stefano Massaroli Michael Poli Federico Califano Jinkyoo Park Atsushi Yamashita Hajime Asama
+	TorchDyn: A Neural Differential Equations Library.	2020	Michael Poli Stefano Massaroli Atsushi Yamashita Hajime Asama Jinkyoo Park
+	WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series	2020	Michael Poli Jinkyoo Park Ilija Ilievski
+ PDF Chat	Multi-Agent Actor-Critic with Hierarchical Graph Attention Network	2020	Heechang Ryu Hayong Shin Jinkyoo Park
+	Stable Neural Flows.	2020	Stefano Massaroli Michael Poli Michelangelo Bin Jinkyoo Park Atsushi Yamashita Hajime Asama
+	Port-Hamiltonian Gradient Flows	2020	Michael Poli Stefano Massaroli Atsushi Yamashita Hajime Asama Jinkyoo Park
+	Dissecting Neural ODEs	2020	Stefano Massaroli Michael Poli Jinkyoo Park Atsushi Yamashita Hajime Asama
+	Scalable Hybrid HMM with Gaussian Process Emission for Sequential Time-series Data Clustering.	2020	Yohan Jung Jinkyoo Park
+	Dissecting Neural ODEs	2020	Stefano Massaroli Michael Poli Jinkyoo Park Atsushi Yamashita Hajime Asama
+	Approximate Inference for Spectral Mixture Kernel	2020	Yohan Jung Kyungwoo Song Jinkyoo Park
+	Hypersolvers: Toward Fast Continuous-Depth Models	2020	Michael Poli Stefano Massaroli Atsushi Yamashita Hajime Asama Jinkyoo Park
+	REMAX: Relational Representation for Multi-Agent Exploration	2020	Heechang Ryu Hayong Shin Jinkyoo Park
+	Scalable Hybrid HMM with Gaussian Process Emission for Sequential Time-series Data Clustering	2020	Yohan Jung Jinkyoo Park
+	Stable Neural Flows	2020	Stefano Massaroli Michael Poli Michelangelo Bin Jinkyoo Park Atsushi Yamashita Hajime Asama
+	TorchDyn: A Neural Differential Equations Library	2020	Michael Poli Stefano Massaroli Atsushi Yamashita Hajime Asama Jinkyoo Park
+ PDF Chat	Port–Hamiltonian Approach to Neural Network Training	2019	Stefano Massaroli Michael Poli Federico Califano Angela Faragasso Jinkyoo Park Atsushi Yamashita Hajime Asama
+	Count-based change point detection via multi-output log-Gaussian Cox processes	2019	Joonho Bae Jinkyoo Park
+	WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series	2019	Michael Poli Jinkyoo Park Ilija Ilievski
+	Scalable and transferable learning of algorithms via graph embedding for multi-robot reward collection.	2019	Hyun‐Wook Kang Aydar Mynbay James R. Morrison Jinkyoo Park
+	Port-Hamiltonian Approach to Neural Network Training	2019	Stefano Massaroli Michael Poli Federico Califano Angela Faragasso Jinkyoo Park Atsushi Yamashita Hajime Asama
+	Multi-Agent Actor-Critic with Hierarchical Graph Attention Network	2019	Heechang Ryu Hayong Shin Jinkyoo Park
+	Graph Neural Ordinary Differential Equations	2019	Michael Poli Stefano Massaroli Junyoung Park Atsushi Yamashita Hajime Asama Jinkyoo Park
+	WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series	2019	Michael Poli Jinkyoo Park Ilija Ilievski
+	Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning	2019	Hyun‐Wook Kang Taehwan Kwon Jinkyoo Park James R. Morrison
+	Multi-Agent Actor-Critic with Generative Cooperative Policy Network	2018	Heechang Ryu Hayong Shin Jinkyoo Park

Common Coauthors

Coauthor	Papers Together
Michael Poli	26
Stefano Massaroli	23
Hajime Asama	21
Atsushi Yamashita	21
Junyoung Park	10
Federico Berto	8
Mykel J. Kochenderfer	8
Chuanbo Hua	8
Heechang Ryu	7
Hayong Shin	7
Sanghyeok Choi	6
Taeyoung Yun	6
Changhyun Kwon	5
Hyeonah Kim	5
Yoshua Bengio	4
Federico Califano	4
Kikuo Fujimura	4
David Isele	4
Jiwoo Son	4
Kanghoon Lee	4
Hyeonah Kim	4
Sanghyuk Chun	3
Jun-Young Park	3
Emmanuel Bengio	3
Minsu Kim	3
Luca Scimeca	3
Joungho Kim	3
Junyoung Park	3
Jiachen Li	3
Ilija Ilievski	3
Jiwoo Son	3
Sho Sonoda	3
Sang Hun Kim	3
Animesh Garg	3
Jinhyun Choo	2
Ross Allen	2
Vivian Wen Hui Wong	2
Yohan Jung	2
Kincho H. Law	2
Seong Joon Oh	2
Linjing Li	2
Alexandros E. Tzikas	2
Kanghoon Lee	2
Federico Berto	2
Taji Suzuki	2
Haeyeon Kim	2
Minsu Kim	2
Min‐Su Kim	2
Hyun‐Wook Kang	2
Sung Soo Ahn	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Neural ordinary differential equations	2018	Ricky T. Q. Chen Yulia Rubanova Jesse Bettencourt David Duvenaud	13
+	Dissecting Neural ODEs	2020	Stefano Massaroli Michael Poli Jinkyoo Park Atsushi Yamashita Hajime Asama	10
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	7
+	FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models	2018	Will Grathwohl Ricky T. Q. Chen Jesse Bettencourt Ilya Sutskever David Duvenaud	6
+	Relational inductive biases, deep learning, and graph networks	2018	Peter Battaglia Jessica B. Hamrick Victor Bapst Álvaro Sánchez‐González Vinícius Zambaldi Mateusz Malinowski Andrea Tacchetti David Raposo Adam Santoro Ryan Faulkner	6
+	Scalable Gradients for Stochastic Differential Equations	2020	Xuechen Li Ting‐Kam Leonard Wong Ricky T. Q. Chen David Duvenaud	5
+	Augmented Neural ODEs	2019	Emilien Dupont Arnaud Doucet Yee Whye Teh	5
+	Hamiltonian Neural Networks	2019	Samuel Greydanus Misko Dzamba Jason Yosinski	5
+	TorchDyn: A Neural Differential Equations Library.	2020	Michael Poli Stefano Massaroli Atsushi Yamashita Hajime Asama Jinkyoo Park	5
+	ODE$^2$VAE: Deep generative second order ODEs with Bayesian neural networks	2019	Çağatay Yıldız Markus Heinonen Harri Lähdesmäki	4
+	A family of embedded Runge-Kutta formulae	1980	John R. Dormand P.J. Prince	4
+ PDF Chat	An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination	2012	Yongcan Cao Wenwu Yu Wei Ren Guanrong Chen	4
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	4
+ PDF Chat	Universal Differential Equations for Scientific Machine Learning	2020	Christopher Rackauckas Yingbo Ma Carl Julius Martensen Collin Warner Kirill Zubov Rohit Supekar Dominic J. Skinner Ali Ramadhan Alan Edelman	4
+	Graph Neural Ordinary Differential Equations	2019	Michael Poli Stefano Massaroli Junyoung Park Atsushi Yamashita Hajime Asama Jinkyoo Park	4
+	Learning Combinatorial Optimization Algorithms over Graphs	2017	Hanjun Dai Elias B. Khalil Yuyu Zhang Bistra Dilkina Le Song	4
+	Neural Jump Stochastic Differential Equations	2019	Junteng Jia Austin R. Benson	4
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	4
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+	Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting	2018	Bing Yu Haoteng Yin Zhanxing Zhu	4
+	Deep Equilibrium Models	2019	Shaojie Bai J. Zico Kolter Vladlen Koltun	4
+	Local convergence of the steepest descent method in Hilbert spaces	2004	George Smyrlis V. Zisis	3
+	Graph networks as learnable physics engines for inference and control	2018	Álvaro Sánchez‐González Nicolas Heess Jost Tobias Springenberg Josh Merel Martin Riedmiller Raia Hadsell Peter Battaglia	3
+	Graph Attention Networks	2017	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	3
+ PDF Chat	Deep Policy Dynamic Programming for Vehicle Routing Problems	2022	Wouter Kool Herke van Hoof Joaquim Gromicho Max Welling	3
+	Distributed Optimal Power Flow for Smart Microgrids	2013	Emiliano Dall’Anese Hao Zhu Georgios B. Giannakis	3
+	Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning	2020	Paulo Roberto de Oliveira da Costa Jason Rhuggenaath Yingqian Zhang Alp Akçay	3
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	3
+	How to train your neural ODE: the world of Jacobian and kinetic regularization	2020	Chris Finlay Jörn-Henrik Jacobsen Levon Nurbekyan Adam M. Oberman	3
+	Hypersolvers: Toward Fast Continuous-Depth Models	2020	Michael Poli Stefano Massaroli Atsushi Yamashita Hajime Asama Jinkyoo Park	3
+	Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents	2018	Kaiqing Zhang Zhuoran Yang Han Liu Tong Zhang Tamer Başar	3
+ PDF Chat	Ueber die numerische Aufl�sung von Differentialgleichungen	1895	Christopher Runge	3
+	Stable Neural Flows.	2020	Stefano Massaroli Michael Poli Michelangelo Bin Jinkyoo Park Atsushi Yamashita Hajime Asama	3
+	Lagrangian Neural Networks.	2020	Miles Cranmer Sam Greydanus Stephan Hoyer Peter Battaglia David N. Spergel Shirley Ho	3
+ PDF Chat	Stable architectures for deep neural networks	2017	Eldad Haber Lars Ruthotto	3
+	Graph WaveNet for Deep Spatial-Temporal Graph Modeling	2019	Zonghan Wu Shirui Pan Guodong Long Jing Jiang Chengqi Zhang	3
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	3
+	Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments	2017	Ryan Lowe Yi Wu Aviv Tamar Jean Harb OpenAI Pieter Abbeel Igor Mordatch	3
+	SGDR: Stochastic Gradient Descent with Warm Restarts	2016	Ilya Loshchilov Frank Hutter	3
+	Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning	2019	Shariq Iqbal Fei Sha	2
+	Exact Combinatorial Optimization with Graph Convolutional Neural Networks	2019	Maxime Gasse Didier Chételat Nicola Ferroni Laurent Charlin Andrea Lodi	2
+	Augmented Neural ODEs	2019	Emilien Dupont Arnaud Doucet Yee Whye Teh	2
+	Neural Jump Stochastic Differential Equations	2019	Junteng Jia Austin R. Benson	2
+	Hamiltonian Neural Networks	2019	Sam Greydanus Misko Dzamba Jason Yosinski	2
+	Model-based Deep Reinforcement Learning for Dynamic Portfolio Optimization	2019	P. L. Yu Joon Sern Lee Ilya Kulyatin Zekun Shi Sakyasingha Dasgupta	2
+	DiffEqFlux.jl - A Julia Library for Neural Differential Equations	2019	Christopher Rackauckas Mike Innes Yingbo Ma Jesse Bettencourt Lyndon White Vaibhav Dixit	2
+	Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation	2018	Jiechuan Jiang Chen Dun Zongqing Lu	2
+ PDF Chat	Tikhonov Regularization and Total Least Squares	1999	Gene H. Golub Per Christian Hansen Dianne P. O’Leary	2
+	Recurrent Neural Networks for Time Series Forecasting.	2019	Gábor Petneházi	2
+	Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning	2019	Michael Lutter Christian Ritter Jan Peters	2