ICML 2024 Workshop Differentiable Almost Everything Submissions

$\bf{\Phi}_\textrm{Flow}$: Differentiable Simulations for Machine Learning
Philipp Holl, Nils Thuerey
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
Implicit Diffusion: Efficient Optimization through Stochastic Sampling
Pierre Marion, Anna Korba, Peter Bartlett, Mathieu Blondel, Valentin De Bortoli, Arnaud Doucet, Felipe Llinares-López, Courtney Paquette, Quentin Berthet
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go Approximation
Alexandre Hayderi, Amin Saberi, Ellen Vitercik, Anders Wikum
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
How Consensus-Based Optimization can be Interpreted as a Stochastic Relaxation of Gradient Descent
Konstantin Riedl, Timo Klock, Carina Geldhauser, Massimo Fornasier
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
Learning to Design Data-structures: A Case Study of Nearest Neighbor Search
Omar Salemohamed, Vatsal Sharan, Shivam Garg, Laurent Charlin, Gregory Valiant
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
SA-DQAS: Self-attention Enhanced Differentiable Quantum Architecture Search
Yize Sun, Jiarui Liu, Zixin Wu, Zifeng Ding, Yunpu Ma, Thomas Seidl, Volker Tresp
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
Differentiable Soft Min-Max Loss to Restrict Weight Range for Model Quantization
Arnav Kundu, Chungkuk Yoo, Minsik Cho, Saurabh Adya
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
PICT: Adaptive GPU Accelerated Differentiable Fluid Simulation for Machine Learning
Aleksandra Franz, Nils Thuerey
- Published: 27 Jun 2024, Last Modified: 12 Mar 2025
- Differentiable Almost Everything
- Readers: Everyone
Relaxing Graph Transformers for Adversarial Attacks
Philipp Foth, Lukas Gosch, Simon Geisler, Leo Schwinn, Stephan Günnemann
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
Decoupled Differentiable Neural Architecture Search: Memory-Efficient Differentiable NAS via Disentangled Search Space
Libin Hou
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
Heterogeneous Federated Zeroth-Order Optimization using Gradient Surrogates
Yao Shu, Xiaoqiang Lin, Zhongxiang Dai, Bryan Kian Hsiang Low
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
Generalizing Convolution to Point Clouds
Davide Bacciu, Francesco Landolfi
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
Using gradients to check sensitivity of MCMC-based analyses to removing data
Tin D. Nguyen, Ryan James Giordano, Rachael Meager, Tamara Broderick
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
You Shall Pass: Dealing with the Zero-Gradient Problem in Predict and Optimize for Convex Optimization
Grigorii Veviurko, Wendelin Boehmer, Mathijs de Weerdt
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
Differentiable Cluster Graph Neural Network
Yanfei Dong, Mohammed Haroon Dupty, Lambert Deng, Zhuanghua Liu, Yong Liang Goh, Wee Sun Lee
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
BPNAS: Bayesian Progressive Neural Architecture Search
Hyunwoong Chang, Anirban Samaddar, Sandeep Madireddy
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
Differentiable Short-Time Fourier Transform: A Time-Frequency Layer with Learnable Parameters
Maxime Leiber, yosra marnissi, Axel Barrau
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
A framework for differentiable Supervised Graph Prediction
Paul KRZAKALA, Junjie Yang, Rémi Flamary, Florence d'Alché-Buc, Charlotte Laclau, Matthieu Labeau
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone