ICML 2023 Workshop SynS and ML Submissions

Knowledge-Guided Additive Modeling For Supervised Regression
Yann Claes, Van Anh Huynh-Thu, Pierre Geurts
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
A language-based recommendation system for material discovery
Jiaxing Qu, Yuxuan Richard Xie, Elif Ertekin
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
RANS-PINN based Simulation Surrogates for Predicting Turbulent Flows
Shinjan Ghosh, Amit Chakraborty, Georgia Olympia Brikis, Biswadip Dey
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Multi-Objective PSO-PINN
Caio Davi, Ulisses Braga-Neto
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
How to Select Physics-Informed Neural Networks in the Absence of Ground Truth: A Pareto Front-Based Strategy
Zhao Wei, Jian Cheng Wong, Nicholas Wei Yong Sung, Abhishek Gupta, Chin Chun Ooi, Pao-Hsiung Chiu, My Ha Dao, Yew-Soon Ong
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Estimation of Physical Coefficients for CO$_2$ Sequestration using Deep Generative Priors based Inverse Modeling Framework
Jiawei Shen, Jonghyun Lee, Hongkyu Yoon
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Reliable coarse-grained turbulent simulations through combined offline learning and neural emulation
Christian Pedersen, Laure Zanna, Joan Bruna, Pavel Perezhogin
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Learning from Topology: Cosmological Parameter Estimation from the Large-scale Structure
Jacky H. T. Yip, Adam Rouhiainen, Gary Shiu
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Coupling Self-Attention Generative Adversarial Network and Bayesian Inversion for Carbon Storage System
Jichao Bao, Jonghyun Lee, Hongkyu Yoon
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
NuCLR: Nuclear Co-Learned Representations
Niklas Nolte, Ouail Kitouni, Sokratis Trifinopoulos, Subhash Kantamneni, Mike Williams
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
What if We Enrich day-ahead Solar Irradiance Time Series Forecasting with Spatio-Temporal Context?
Oussama Boussif, Ghait Boukachab, Dan Assouline, Stefano Massaroli, Tianle Yuan, Loubna Benabbou, Yoshua Bengio
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
How important are specialized transforms in Neural Operators?
Ritam Majumdar, Shirish Karande, Lovekesh Vig
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Accelerating Molecular Graph Neural Networks via Knowledge Distillation
Filip Ekström Kelvinius, Dimitar Georgiev, Artur Toshev, Johannes Gasteiger
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Hybrid Diffusions for Stable Molecular Structure Generation via Explicit Energy-based Model
Youngwoo Cho, Seunghoon Yi, Soo Kyung Kim, Hongkee Yoon, Joonseok Lee
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
CAAFE: Combining Large Language Models with Tabular Predictors for Semi-Automated Data Science
Noah Hollmann, Samuel Müller, Frank Hutter
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Titanium 3D Microstructure for Physics-based Generative Models: A Dataset and Primer
Devendra Kumar Jangid, Neal R Brodnik, McLean P Echlin, Samantha Daly, Tresa Pollock, B.S. Manjunath
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Adaptive Bias Correction for Improved Subseasonal Forecasting
Soukayna Mouatadid, Paulo Orenstein, Genevieve Elaine Flaspohler, Judah Cohen, Miruna Oprescu, Ernest Fraenkel, Lester Mackey
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Understanding Energy-Based Modeling of Proteins via an Empirically Motivated Minimal Ground Truth Model
Peter William Fields, Vudtiwat Ngampruetikorn, Rama Ranganathan, David J. Schwab, Stephanie Palmer
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Diffusion model based data generation for partial differential equations
Rucha Apte, Sheel Nidhan, Rishikesh Ranade, Jay Pathak
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Neural Modulation Fields for Conditional Cone Beam Neural Tomography
Samuele Papa, David M Knigge, Riccardo Valperga, Nikita Moriakov, Miltiadis Kofinas, Jan-jakob Sonke, Efstratios Gavves
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
INFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes Equations
Louis Serrano, Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Jean-Noël Vittaut, patrick gallinari
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Integrating processed-based models and machine learning for crop yield prediction
Michiel Kallenberg, Bernardo Maestrini, Ron van Bree, Paul Ravensbergen, Christos Pylianidis, Frits van Evert, Ioannis N. Athanasiadis
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Open Source Infrastructure for Differentiable Density Functional Theory
Advika Vidhyadhiraja, Arun Pa Thiagarajan, Shang Zhu, Venkatasubraman Viswanathan, Bharath Ramsundar
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Generating observation guided ensembles for data assimilation with denoising diffusion probabilistic model
Yuuichi Asahi, Yuta Hasegawa, Naoyuki Onodera, Takashi Shimokawabe, Hayato Shiba, Yasuhiro Idomura
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Synergizing Deep Reinforcement Learning and Biological Pursuit Behavioral Rule for Robust and Interpretable Navigation
Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone