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Workshop

Machine Learning for Engineering Modeling, Simulation and Design

Alex Beatson ⋅ Priya Donti ⋅ Amira Abdel-Rahman ⋅ Stephan Hoyer ⋅ Rose Yu ⋅ J. Zico Kolter ⋅ Ryan Adams
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Abstract

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Schedule

Timezone: America/Los_Angeles
4:50 AM
Opening Remarks
6:10 AM
Angela Dai Q&A
9:40 AM
Break
12:35 PM
Grace X Gu Q&A
12:50 PM
Closing remarks
Electric Vehicle Range Improvement by Utilizing Deep Learning to Optimize Occupant Thermal Comfort
Alok Warey ⋅ Shailendra Kaushik ⋅ Bahram Khalighi ⋅ Michael Cruse ⋅ Ganesh Venkatesan
Differentiable Implicit Layers
Andreas Look ⋅ Simona Doneva ⋅ Melih Kandemir ⋅ Rainer Gemulla ⋅ Jan Peters
On Training Effective Reinforcement Learning Agents for Real-time Power Grid Operation and Control
Ruisheng Diao ⋅ Di Shi ⋅ Bei Zhang ⋅ Siqi Wang ⋅ Haifeng Li ⋅ Chunlei Xu ⋅ Tu Lan ⋅ Desong Bian ⋅ Jiajun Duan ⋅ Zheng Wu
Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes
Manuel Haußmann ⋅ Sebastian Gerwinn ⋅ Andreas Look ⋅ Barbara Rakitsch ⋅ Melih Kandemir
A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design
Zijiang Yang ⋅ Dipendra Jha ⋅ Arindam Paul ⋅ Wei-keng Liao ⋅ Alok Choudhary ⋅ Ankit Agrawal
Jacobian of Conditional Generative Models for Sensitivity Analysis of Photovoltaic Device Processes
Maryam Molamohammadi ⋅ Sahand Rezaei-Shoshtari ⋅ Nathaniel Quitoriano
Simultaneous Process Design and Control Optimization using Reinforcement Learning
Steven Sachio ⋅ Antonio del Rio Chanona ⋅ Panagiotis Petsagkourakis
Scalable Combinatorial Bayesian Optimization with Tractable Statistical models
Aryan Deshwal ⋅ Syrine Belakaria ⋅ Janardhan Rao Doppa
Combinatorial 3D Shape Generation via Sequential Assembly
Jungtaek Kim ⋅ Hyunsoo Chung ⋅ Jinhwi Lee ⋅ Minsu Cho ⋅ Jaesik Park
Multi-Loss Sub-Ensembles for Accurate Classification with Uncertainty Estimation
Omer Achrack ⋅ Raizy Kellerman ⋅ Ouriel Barzilay
Continuous calibration of a digital twin; a particle filter approach
Rebecca Ward ⋅ Ruchi Choudhary ⋅ Alastair Gregory
Learning Mesh-Based Simulation with Graph Networks
Tobias Pfaff ⋅ Meire Fortunato ⋅ Alvaro Sanchez Gonzalez ⋅ Peter Battaglia
An Industrial Application of Deep Reinforcement Learning for Chemical Production Scheduling
Christian Hubbs ⋅ Adam Kelloway ⋅ John Wassick ⋅ Nikolaos Sahinidis ⋅ Ignacio Grossmann
Surrogates for Stiff Nonlinear Systems using Continuous Time Echo State Networks
Ranjan Anantharaman ⋅ Christopher Rackauckas ⋅ Viral Shah
Multilevel Delayed Acceptance MCMC with an Adaptive Error Model in PyMC3
Mikkel Lykkegaard ⋅ Greg Mingas ⋅ Robert Scheichl ⋅ Colin Fox ⋅ Tim Dodwell
Parameterized Reinforcement Learning for Optical System Optimization
Heribert Wankerl ⋅ Maike Stern ⋅ Ali Mahdavi ⋅ Christoph Eichler ⋅ Elmar Lang
Signal Enhancement for Magnetic Navigation Challenge Problem
Albert Gnadt ⋅ Joseph Belarge ⋅ Aaron Canciani ⋅ Lauren Conger ⋅ Joseph Curro ⋅ Alan Edelman ⋅ Peter Morales ⋅ Michael O'Keeffe ⋅ Jonathan Taylor ⋅ Christopher Rackauckas
Bayesian polynomial chaos
Pranay Seshadri ⋅ Andrew Duncan ⋅ Ashley Scillitoe
Battery Model Calibration with Deep Reinforcement Learning
Ajaykumar Unagar ⋅ Yuan Tian ⋅ Olga Fink ⋅ Manuel Arias Chao
Uncertainty-aware Remaining Useful Life predictors
Luca Biggio ⋅ Manuel Arias Chao ⋅ Olga Fink
Modular mobile robot design selection with deep reinforcement learning
Julian Whitman ⋅ Matthew Travers ⋅ Howie Choset
Rethink AI-based Power Grid Control: Diving Into Algorithm Design
Xiren Zhou ⋅ siqi wang ⋅ Ruisheng Diao ⋅ Desong Bian ⋅ Jiajun Duan ⋅ Di Shi
Placement in Integrated Circuits using Cyclic Reinforcement Learning and Simulated Annealing
Dhruv Vashisht ⋅ Harshik Rampal ⋅ Haiguang Liao ⋅ Yang Lu ⋅ Devika Shanbhag ⋅ Elias Fallon ⋅ Levent Burak Kara
End-to-End Differentiability and Tensor Processing Unit Computing to Accelerate Materials’ Inverse Design
HAN LIU ⋅ Yuhan Liu ⋅ Zhangji Zhao ⋅ Samuel Schoenholz ⋅ Ekin Dogus Cubuk ⋅ Mathieu Bauchy
Predicting Nanorobot Shapes via Generative Models
Emma Benjaminson ⋅ Rebecca Taylor ⋅ Matthew Travers
Efficient nonlinear manifold reduced order model
Youngkyu Kim ⋅ Youngsoo Choi ⋅ David Widemann ⋅ Tarek Zohdi
Constraint active search for experimental design
Gustavo Malkomes ⋅ Harvey Cheng ⋅ Michael McCourt
Heat risk assessment using surrogate model for meso-scale surface temperature
Byeongseong Choi ⋅ Matteo Pozzi ⋅ Mario Berges
Machine Learning-based Anomaly Detection with Magnetic Data
Peetak Mitra ⋅ Denis Akhiyarov ⋅ Mauricio Araya-Polo ⋅ Daniel Byrd
ManufacturingNet: A machine learning tool for engineers
Rishikesh Magar ⋅ Lalit Ghule ⋅ Ruchit Doshi ⋅ Sharan Seshadri ⋅ Aman Khalid ⋅ Amir Barati Farimani
An adversarially robust approach to security-constrained optimal power flow
Neeraj Vijay Bedmutha ⋅ Priya Donti ⋅ J. Zico Kolter
Real-time Prediction of Soft Tissue Deformations Using Data-driven Nonlinear Presurgical Simulations
Haolin Liu ⋅ Ye Han ⋅ Daniel Emerson ⋅ Houriyeh Majditehran ⋅ Yoed Rabin ⋅ Levent Burak Kara
Accelerating Inverse Design of Nanostructures Using Manifold Learning
Mohammadreza Zandehshahvar ⋅ Yashar Kiarashinejad ⋅ Muliang Zhu ⋅ Hossein Maleki ⋅ Omid Hemmatyar ⋅ Sajjad Abdollahramezani ⋅ Reza Pourabolghasem ⋅ Ali Adibi
Frequency-compensated PINNs for Fluid-dynamic Design Problems
Tongtao Zhang ⋅ Biswadip Dey ⋅ Pratik Kakkar ⋅ Arindam Dasgupta ⋅ Amit Chakraborty
Efficient Nanopore Optimization by CNN-accelerated Deep Reinforcement Learning
Yuyang Wang ⋅ Zhonglin Cao ⋅ Amir Barati Farimani
Building LEGO using Deep Generative Models of Graphs
Rylee Thompson ⋅ Graham Taylor ⋅ Terrance DeVries ⋅ Elahe Ghalebi
Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations
Syrine Belakaria ⋅ Aryan Deshwal ⋅ Janardhan Rao Doppa
Multi-stage Transmission Line Flow Control Using Centralized and Decentralized Reinforcement Learning Agents
Xiumin Shang ⋅ Jingping Yang ⋅ Bingquan Zhu ⋅ Lin Ye ⋅ Jing Zhang ⋅ Jianping Xu ⋅ Qin Lyu ⋅ Ruisheng Diao
Decoding the genome of cement by Gaussian Process Regression
Yu Song ⋅ Yongzhe Wang ⋅ Kaixin Wang ⋅ Mathieu Bauchy
Autonomous Control of a Particle Accelerator using Deep Reinforcement Learning
Xiaoying Pang ⋅ Sunil Thulasidasan ⋅ Larry Rybarcyk
Scalable Multitask Latent Force Models with Applications to Predicting Lithium-ion Concentration
Daniel Tait ⋅ Ferran Brosa Planella ⋅ Widanalage Dhammika Widanage ⋅ Theodoros Damoulas
On the Effectiveness of Bayesian AutoML methods for Physics Emulators
Peetak Mitra ⋅ Niccolo Dal Santo ⋅ Majid Haghshenas ⋅ Shounak Mitra ⋅ Conor Daly ⋅ David Schmidt
Robotic gripper design with Evolutionary Strategies and Graph Element Networks
Ferran Alet ⋅ Maria Bauza ⋅ Adarsh K Jeewajee ⋅ Max Thomsen ⋅ Alberto Rodriguez ⋅ Leslie Kaelbling ⋅ Tomás Lozano-Pérez
Learning to Identify Drilling Defects in TurbineBlades with Single Stage Detectors
Andrea Panizza ⋅ Szymon Tomasz Stefanek ⋅ Stefano Melacci ⋅ Giacomo Veneri ⋅ Marco Gori