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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
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