Machine Learning + X Seminars 2020

December 18 Recording
December 18, 2020:Learning in the Frequency Domain by Ehsan Kharazmi
December 18, 2020:Towards NNGP-guided Neural Architecture Search by Liu Yang
December 11 Recording
December 11, 2020: Information transfer in multi-task learning by Hongyang Zhang, Assistant Professor of Computer Science at Northeastern University
December 11, 2020: Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical
Kinetics by Sumit Vashishtha
December 4 Recording
December 4, 2020: Machine Learning for Inverse Problems in Computational Engineering by Kailai Xu, Institute for Computational and Mathematical Engineering, Stanford University
December 4, 2020: Generalization effects of linear transformation in data augmentation by Sen Wu, Computer Science Department, Stanford University
December 4, 2020: Upscaling Transport and Reactions in Tissues: Nonlinear Closure via Deep Learning by Ehsan Taghizadeh, School of Chemical, Biological, and Environmental Engineering Oregon State University
November 27 Recording
November 27, 2020: A Point-Cloud Deep Learning Framework for Prediction of Fluid Flow Fields on Irregular Geometries by Ali Kashefi
November 27, 2020: Variable-Order Approach to Nonlocal Elasticity: Theoretical Formulation and Order Identification via Deep Learning Techniques by Enrui Zhang
November 20 Recording
November 20, 2020: A Combinatorial Perspective on Transfer Learning (https://arxiv.org/pdf/2010.12268.pdf) by Somdatta Goswami
November 20, 2020: Implicit Neural Representations with Periodic Activation Functions https://arxiv.org/pdf/2006.09661.pdf by Ameya Jagtap
November 13 Recording
November 13, 2020: Historic First: Tracking the Global Pandemic in Real-time by Ensheng (Frank) Dong , Department of Civil and Systems Engineering, Johns Hopkins University
November 13, 2020: Fourier Neural Operator for Parametric Partial Differential Equations by Zongyi Li, Caltech
November 6 Recording
November 6, 2020: Spotting hidden weakness of constitutive laws with multi-agent deep reinforcement learning by Steve WaiChing Sun, associate professor, Department of Civil Engineering and Engineering Mechanics Columbia University, New York, USA
November 6, 2020: Introduction of CONVERGE CFD Software by Dr. Daniel Lee, Convergent Science
October 30, 2020 Recording
October 30, 2020: Solving high-dimensional stochastic partial differential equations with physics-informed neural networks by Ilias Bilionis, Associate Professor, School of Mechanical Engineering, Purdue University
October 30, 2020: Mobility Evaluation for Hybrid Robot Motion on Deformable Terrain via Physics-Based and Data-Driven Modeling Approach by Guanjin Wang , Mechanical Engineering at University of Maryland
October 30, 2020: Ab initio solution of the many-electron Schrödinger equation with deep neural networks by Liu Yang
October 23 Recording
October 23, 2020: Multi-scale Deep Neural Network (MscaleDNN) Methods for Oscillatory Stokes Flows in Complex Domains by Wei Cai, Southern Methodist University
October 23, 2020: Data-Driven Multi Fidelity Physics-Informed Constitutive Meta-Modeling of Complex Fluids by Mohammadamin Mahmoudabadbozchelou, Northeastern University
October 16 Recording
October 16, 2020: Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC Via Variance Reduction by Wei Deng, Purdue University
October 16, 2020: Overcoming the curse of dimensionality for some Hamilton-Jacobi partial differential equations via neural network architectures by Tingwei Meng
October 9 Recording
October 9, 2020: Solving PDE related problems using deep-learning by Adar Kahana, Tel Aviv University
October 9, 2020: Uncertainty in Neural Networks: Approximately Bayesian Ensembling by Liu Yang
October 2 Recording
October 2, 2020: From PINNs to DeepOnets: Approximating functions, functionals, and operators using deep neural networks for diverse applications by George Karniadkais, Brown University
October 2, 2020: COVID-19 dynamics across the US: A deep learning study of human mobility and social behavior by Mohamed Aziz Bhouri, University of Pennsylvania
September 25 Recording
September 25, 2020: Integrating Physics-Based Modeling with Machine Learning: A Survey by Jared Willard, University of Minnesota
September 25, 2020: Learning Solutions to Differential Equations using LS-SVM by Simin Shekarpaz
September 18 seminar Recording
September 18, 2020: Designing complex architectured materials with generative adversarial networks by Minglang Yin
September 18, 2020: Shallow PINNs using Levenberg-Marquardt algorithm for optimization by Gaurav Kumar Yadav
September 18, 2020: Background and some practical applications of seq2seq modeling by Fumi Honda and Jeremy Chen
September 11 Seminar Recording
September 11, 2020: Improved Architecture for Distributed PINNs by Sreehari M
September 11, 2020: Shallow PINNs using Levenberg-Marquardt algorithm for optimization by Gaurav Kumar Yadav
September 11, 2020: The effectiveness of PINNs for solving inverse heat transfer problems by VIVEK OOMMEN
September 11, 2020: Sequence-to-sequence prediction of spatiotemporal systems by Zhen Zhang
September 4, 2020: How to Deal with Imbalanced Dataset? by Yixiang Deng
September 4, 2020: Thermodynamics-based Artiﬁcial Neural Networks for constitutive modeling by Enrui Zhang
August 28, 2020: Notes on Bayesian deep learning by Apostolos Psaros
August 28, 2020: GAN-BERT: Generative Adversarial Learning for Robust Text Classification with a Bunch of Labeled Examples by Liu Yang
August 21, 2020: When and Why PINNS fail to train: A Neural Tangent Kernel Perspective by Paris Perdikaris
August 21, 2020: The Computational Limits of Deep Learning by Khemraj Shukla
August 14, 2020: Loss landscape: SGD can have a better view than GD by Yeonjong, Shin
August 14, 2020: SIAN: software for structural identifiability analysis of ODE models by Zhen Zhang
August 14, 2020: The Computational Limits of Deep Learning
by Khemraj Shukla
August 7, 2020: Discovering Reinforcement Learning Algorithms by Sumit Vashishtha
August 7, 2020: Physics-Informed Neural Network Framework for PDEs on 3D Surfaces by Zhiwei Fang
July 31, 2020: Output-Weighted Importance Sampling for Bayesian Experimental Design and Uncertainty Quantification by Antoine Blanchard, MIT
July 31, 2020: Development of Interatomic Potential Energy Surfaces Based on ab initio Electronic Structure Methods and Neural Networks for Molecular Dynamics Simulations by Milind Malshe , Georgia Institute of Technology
July 24, 2020: Error estimates for PINNs by Siddhartha Mishra, ETH Zurich, Switzerland
July 24, 2020: Convergence of PINNs and hp-VPINNs for advection-diffusion-reactions equations by Zhongqiang (Handy) Zhang, WPI
July 17, 2020: Data-Driven and Physics-Constrained Deep Learning for Transport Phenomena in Heterogeneous Media by Haiyi Wu, Virginia Tech
July 17, 2020: Hydrodynamics of driven and active colloids at fluid interfaces by Nicholas Chisholm, University of Pennsylvania
July 10, 2020: Data-Driven Continuum Dynamics via Transport-Teleport Duality by Jong-Hoon Ahn, Purdue University
July 10, 2020: New Overlapping Finite Elements and Their Application in the AMORE Paradigm by Junbin Huang, MIT
July 3, 2020: Invnet: Encoding Constraints in Generative Models by Ameya Joshi
July 3, 2020: Learning Energy-based Model with Flow-based Backbone by Neural Transport MCMC by Minglang Yin
June 26, 2020: Neural Tangent Kernel: Convergence and Generalization in Neural Networks by Guofei Pang
June 26, 2020: Physics Informed Reinforcement Learning (PIRL): Possibilities and Promises by Sumit Vashishtha
June 26, 2020: Sample-based Forward and Inverse Fokker-Planck Equation Solver with Physics-informed Neural Networks by Xiaoli Chen
June 19, 2020: Deep learning of free boundary and Stefan problems by Sifan Wang, Upenn
June 19, 2020: Physics Informed Reinforcement Learning (PIRL): Possibilities and Promises by Sumit Vashishtha
June 12, 2020: Explaining Neural Networks by Decoding Layer Activations by Xuhui Meng
June 12, 2020: Deep Learning for Symbolic Mathematics by Zhen Zhang
June 5, 2020: Introduction to SimNet by Sanjay Choudhry, Nvidia
June5, 2020: Complexity and the Dunbar Hypothesis by Bruce J. West, ST-Senior Scientist Mathematics, Army Research Office
May 29, 2020: DiffTaichi: Differentiable Programming for physical simulation by Leonard Gleyzer
May 29, 2020: Data-driven Fractional Modeling for Anomalous Transport and Turbulent Flows by Mehdi Samiee
May 22, 2020: Double-descent phenomenon in modern machine learning by Lu Lu
May 22, 2020: Phase field modeling of fracture with isogeometric analysis and machine learning methods by
Somdatta Goswami, Bauhaus University Weimar, Germany
May15, 2020: Automating data augmentation: practice, theory and future direction by Mengjia Xu
May 15, 2020: Vision: Digital Twin for Additive Manufacturing by Henning Wessels, Institute of Continuum Mechanics, Leibniz University Hannover
May 8, 2020: Meta-Learning in Neural Networks: A Survey by Zongren Zou
May 8, 2020: Transfer learning enhanced physics informed neural network for phase-field modeling of fracture by Xiaoning Zheng
May 1, 2020: PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain by Jianxun Wang
May 1, 2020: Bayesian differential programming for robust systems identification under uncertainty by Paris Perdikaris
May 1, 2020: Meta-Learning in Neural Networks: A Survey by Zongren Zou
April 24, 2020: Automatic identification of the shape of retinal microaneurysms from retinal images by Qian Zhang
April 24, 2020: Machine learning for active matter by Chensen Lin
April 24, 2020: Discussion of “learning and solving” by Prof. Yannis Kevrekidis
April 17, 2020: On the Convergence and Generalization of Physics Informed Neural Networks by Yeonjong Shin
April 17, 2020: Path integrals and sparse representations in computational stochastic dynamics by Apostolos Psaros
April 17, 2020: Discussion of “learning and solving” by Prof. Yannis Kevrekidis
April 10, 2020: Illustration of the benefits of wearing face mask in public during the COVID-19 pandemic using hidden fluid mechanics (HFM) by Shenze Cai
April 10, 2020: The Reconstruction and Prediction Algorithm of the Fractional TDD for the Local Outbreak of COVID-19 by Zhiping Mao
April 10, 2020: Real-valued (medical) times series generation with recurrent conitional gans by Liu Yang
April 3, 2020: Symplectic networks: Intrinsic structure-preserving networks for identifying Hamiltonian systems by Zhen Zhang
April 3, 2020: Data-driven stochastic modeling of reaction initiation in granular energetic materials by Joseph Bakarji
March 27, 2020: On the use of machine learning to investigate the fracture toughness of ceramic nanocomposites by Christos E. Athanasiou
March 27, 2020: Restoring chaos using deep reinforcement learning by Sunit Vashishtha
March 20, 2020: Deep Variartional Information Bottleneck by Liu Yang
March 20, 2020: A deep surrogate approach to efficient Bayesian inversion in PDE and integral equation models by Xuhui Meng
March 20, 2020: The Case for Bayesian Deep Learning by Xuhui Meng
March 13, 2020: Integrating Physics-Based Modeling with Machine Learning: A Survey by Yosuke Hasegawa
March 13, 2020: Analyzing Inverse Problems with Invertible Neural Networks by Minglang Yin
February 28, 2020: A study of the sungle-layer ReLU neural network by Sheng Chen
February 28, 2020: Identifying Critical Neurons in ANN Architectures using Integer Programming by Zongren Zou
February 14, 2020: VarNet: Variational Neural Networks for the Solution of Partial Differential Equations by Ehsan Kharazmi
February 14, 2020: Discovery of Dynamics using Linear Multistep Methods by Zhen Zhang
February 14, 2020: A deep learning approach for efficiently and accurately evaluating the flow field of supercritical airfoils by Ameya Jagtap
February 7, 2020: Deep Learning in turbulent convection networks by Yosuke Hasegawa
January 31, 2020: Preventing Undesirable Behavior of Intelligent Machines by Yixiang Deng
January 24, 2020: Data-assisted reduced-order modeling of extreme events in complex dynamical systems by Zhen Zhang
January 24, 2020: Paper review: Learning functionals via LSTM neural networks for predicting vessel dynamics in extreme sea states by Zhen Zhang
January 24, 2020: Robust Training and Initialization of Deep Neural Networks: An Adaptive Basus Viewpoint by Ehsan Kharazmi
January 24, 2020: Introduction to the Dirichlet Procecss by Liu Yang
January 3, 2020: DBSN: Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structures by Xuhui Meng
January 3, 2020: Antisymmetricrnn: A Dynamical system view on recurrent neural networks by Zhen Zhang