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Workshop
D-CIPHER: Discovery of Closed-form Partial Differential Equations
Krzysztof Kacprzyk · Zhaozhi Qian · Mihaela van der Schaar
Workshop
SymbolicGPT: A Generative Transformer Model for Symbolic Regression
Mojtaba Valipour · Bowen You · Maysum H Panju · Ali Ghodsi
Workshop
Privileged Deep Symbolic Regression
Luca Biggio · Tommaso Bendinelli · Pierre-alexandre Kamienny
Poster
Thu 14:00 CoNSoLe: Convex Neural Symbolic Learning
Haoran Li · Yang Weng · Hanghang Tong
Workshop
SRSD: Rethinking Datasets of Symbolic Regression for Scientific Discovery
Yoshitomo Matsubara · Naoya Chiba · Ryo Igarashi · Yoshitaka Ushiku
Poster
Wed 14:00 Symbolic Distillation for Learned TCP Congestion Control
S P Sharan · Wenqing Zheng · Kuo-Feng Hsu · Jiarong Xing · Ang Chen · Zhangyang Wang
Poster
Wed 9:00 End-to-end Symbolic Regression with Transformers
Pierre-alexandre Kamienny · Stéphane d'Ascoli · Guillaume Lample · Francois Charton
Poster
Tue 9:00 A Unified Framework for Deep Symbolic Regression
Mikel Landajuela · Chak Shing Lee · Jiachen Yang · Ruben Glatt · Claudio P Santiago · Ignacio Aravena · Terrell Mundhenk · Garrett Mulcahy · Brenden K Petersen
Workshop
A PINN Approach to Symbolic Differential Operator Discovery with Sparse Data
Brydon Eastman · Lena Podina · Mohammad Kohandel
Workshop
Thoughts on the Applicability of Machine Learning to Scientific Discovery and Possible Future Research Directions (Perspective)
Shiro Takagi
Workshop
Fri 13:30 Invited Talk #4, The Fifth Paradigm of Scientific Discovery, Max Welling
Max Welling
Workshop
Data-Driven Computational Imaging for Scientific Discovery
Andrew Olsen · Yolanda Hu · Vidya Ganapati