ICML 2023 Workshop Differentiable Almost Everything Submissions

End-to-end Differentiable Clustering with Associative Memories
Bishwajit Saha, Dmitry Krotov, Mohammed J Zaki, Parikshit Ram
- Published: 20 Jun 2023, Last Modified: 17 Sept 2023
- Differentiable Almost Everything
- Readers: Everyone
Optimizing probability of barrier crossing with differentiable simulators
Martin Sipka, Johannes C. B. Dietschreit, Michal Pavelka, Lukáš Grajciar, Rafael Gomez-Bombarelli
- Published: 20 Jun 2023, Last Modified: 17 Sept 2023
- Differentiable Almost Everything
- Readers: Everyone
From Perception to Programs: Regularize, Overparameterize, and Amortize
Hao Tang, Kevin Ellis
- Published: 20 Jun 2023, Last Modified: 17 Sept 2023
- Differentiable Almost Everything
- Readers: Everyone
Efficient Surrogate Gradients for Training Spiking Neural Networks
Hao Lin, Shikuang Deng, Shi Gu
- Published: 20 Jun 2023, Last Modified: 17 Sept 2023
- Differentiable Almost Everything
- Readers: Everyone
Differentiable Tree Operations Promote Compositional Generalization
Paul Soulos, Edward J Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao
- Published: 20 Jun 2023, Last Modified: 17 Sept 2023
- Differentiable Almost Everything
- Readers: Everyone
Plateau-Reduced Differentiable Path Tracing
Michael Fischer, Tobias Ritschel
- Published: 20 Jun 2023, Last Modified: 17 Sept 2023
- Differentiable Almost Everything
- Readers: Everyone
Differentiable Clustering and Partial Fenchel-Young Losses
Lawrence Stewart, Francis Bach, Felipe Llinares-López, Quentin Berthet
- Published: 20 Jun 2023, Last Modified: 17 Sept 2023
- Differentiable Almost Everything
- Readers: Everyone
GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies
Takahiro Mimori, Michiaki Hamada
- Published: 20 Jun 2023, Last Modified: 17 Sept 2023
- Differentiable Almost Everything
- Readers: Everyone
Differentiable sorting for censored time-to-event data
Andre Vauvelle, Benjamin Wild, Roland Eils, Spiros Denaxas
- Published: 20 Jun 2023, Last Modified: 17 Sept 2023
- Differentiable Almost Everything
- Readers: Everyone
Latent Random Steps as Relaxations of Max-Cut, Min-Cut, and More
Sudhanshu Chanpuriya, Cameron N Musco
- Published: 20 Jun 2023, Last Modified: 17 Sept 2023
- Differentiable Almost Everything
- Readers: Everyone
Distributions for Compositionally Differentiating Parametric Discontinuities
Jesse Michel, Kevin Mu, Xuanda Yang, Sai Praveen Bangaru, Elias Rojas Collins, Gilbert Bernstein, Jonathan Ragan-Kelley, Michael Carbin, Tzu-Mao Li
- Published: 20 Jun 2023, Last Modified: 17 Sept 2023
- Differentiable Almost Everything
- Readers: Everyone
Stochastic Gradient Bayesian Optimal Experimental Designs for Simulation Based Inference
Vincent Zaballa, Elliot E Hui
- Published: 20 Jun 2023, Last Modified: 17 Sept 2023
- Differentiable Almost Everything
- Readers: Everyone
PDP: Parameter-free Differentiable Pruning is All You Need
Minsik Cho, Saurabh Adya, Devang Naik
- Published: 20 Jun 2023, Last Modified: 17 Sept 2023
- Differentiable Almost Everything
- Readers: Everyone
EH-DNAS: End-to-End Hardware-aware Differentiable Neural Architecture Search
Qian Jiang, Xiaofan Zhang, Deming Chen, Minh N. Do, Raymond A. Yeh
- Published: 20 Jun 2023, Last Modified: 17 Sept 2023
- Differentiable Almost Everything
- Readers: Everyone
Differentiable Forward Projector for X-ray Computed Tomography
Hyojin Kim, Kyle Champley
- Published: 20 Jun 2023, Last Modified: 17 Sept 2023
- Differentiable Almost Everything
- Readers: Everyone
Differentiable Search of Evolutionary Trees from Leaves
Ramith Hettiarachchi, Avi Z Swartz, Sergey Ovchinnikov
- Published: 20 Jun 2023, Last Modified: 17 Sept 2023
- Differentiable Almost Everything
- Readers: Everyone
Koopman Constrained Policy Optimization: A Koopman operator theoretic method for differentiable optimal control in robotics
Matthew Retchin, Brandon Amos, Steven Brunton, Shuran Song
- Published: 20 Jun 2023, Last Modified: 17 Sept 2023
- Differentiable Almost Everything
- Readers: Everyone
Sample-efficient learning of auditory object representations using differentiable impulse response synthesis
Vinayak Agarwal, James Traer, Josh Mcdermott
- Published: 20 Jun 2023, Last Modified: 17 Sept 2023
- Differentiable Almost Everything
- Readers: Everyone
TaskMet: Task-Driven Metric Learning for Model Learning
Dishank Bansal, Ricky T. Q. Chen, Mustafa Mukadam, Brandon Amos
- Published: 20 Jun 2023, Last Modified: 17 Sept 2023
- Differentiable Almost Everything
- Readers: Everyone
Lagrangian Proximal Gradient Descent for Learning Convex Optimization Models
Anselm Paulus, Vít Musil, Georg Martius
- Published: 20 Jun 2023, Last Modified: 17 Sept 2023
- Differentiable Almost Everything
- Readers: Everyone
Some challenges of calibrating differentiable agent-based models
Arnau Quera-Bofarull, Joel Dyer, Ani Calinescu, Michael Wooldridge
- Published: 20 Jun 2023, Last Modified: 17 Sept 2023
- Differentiable Almost Everything
- Readers: Everyone
Differentiable MaxSAT Message Passing
Francesco Alesiani, Cristóbal Corvalán Morbiducci, Markus Zopf
- Published: 20 Jun 2023, Last Modified: 17 Sept 2023
- Differentiable Almost Everything
- Readers: Everyone
SIMPLE: A Gradient Estimator for $k$-subset Sampling
Kareem Ahmed, Zhe Zeng, Mathias Niepert, Guy Van den Broeck
- Published: 20 Jun 2023, Last Modified: 17 Sept 2023
- Differentiable Almost Everything
- Readers: Everyone
Interpretable Neural-Symbolic Concept Reasoning
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frederic Precioso, Mateja Jamnik, Giuseppe Marra
- Published: 20 Jun 2023, Last Modified: 17 Sept 2023
- Differentiable Almost Everything
- Readers: Everyone
Dilated Convolution with Learnable Spacings: beyond bilinear interpolation
Ismail Khalfaoui-Hassani, Thomas Pellegrini, Timothée Masquelier
- Published: 20 Jun 2023, Last Modified: 17 Sept 2023
- Differentiable Almost Everything
- Readers: Everyone