ICML 2024 Workshop Differentiable Almost Everything Submissions

DiffFit: Differentiable Fitting of Molecule Structures to a Cryo-EM Map
Deng Luo, Zainab Alsuwaykit, Dawar Khan, Ondrej Strnad, Tobias Isenberg, Ivan Viola
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
Differentiable Iterated Function Systems
Cory Braker Scott
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
BiPer: Binary Neural Networks using a Periodic Function
Edwin Vargas, Claudia V. Correa, Carlos Hinojosa, Henry Arguello
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
A Differentiable Topological Notion of Local Maxima for Keypoint Detection
Giovanni Barbarani, Francesco Vaccarino, Gabriele Trivigno, Marco Guerra, Gabriele Berton, Carlo Masone
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
Differentiable Mapper for Topological Optimization of Data Representation
Ziyad Oulhaj, Mathieu Carrière, Bertrand Michel
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
Stable Differentiable Causal Discovery
Achille Nazaret, Justin Hong, Elham Azizi, David Blei
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
Transforming a Non-Differentiable Rasterizer into a Differentiable One with Stochastic Gradient Estimation
Thomas Deliot, Eric Heitz, Laurent Belcour
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
CGMTorch: A Framework for Gradient-based Design of Computational Granular Metamaterials
Atoosa Parsa, Corey OHern, Rebecca Kramer-Bottiglio, Josh Bongard
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
Analyzing and Improving Surrogate Gradient Training in Binary Neural Networks Using Dynamical Systems Theory
Rainer Engelken, Larry Abbott
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
Differentiable Weighted Automata
Anand Balakrishnan, Jyotirmoy V. Deshmukh
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
Differentiable Local Intrinsic Dimension Estimation with Diffusion Models
Hamidreza Kamkari, Brendan Leigh Ross, Rasa Hosseinzadeh, Jesse C. Cresswell, Gabriel Loaiza-Ganem
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
Differentiable Approximations of Fair OWA Optimization
My H Dinh, James Kotary, Ferdinando Fioretto
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
Structure- and Function-Aware Substitution Matrices via Differentiable Graph Matching
Paolo Pellizzoni, Carlos Oliver, Karsten Borgwardt
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
Energy-based Hopfield Boosting for Out-of-Distribution Detection
Claus Hofmann, Simon Lucas Schmid, Bernhard Lehner, Daniel Klotz, Sepp Hochreiter
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
Parallelising Differentiable Algorithms Removes the Scalar Bottleneck: A Case Study
Euan Ong, Ferenc Huszár, Pietro Lio, Petar Veličković
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
Revisiting Score Function Estimators for $k$-Subset Sampling
Klas Wijk, Ricardo Vinuesa Motilva, Hossein Azizpour
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
Learning Set Functions with Implicit Differentiation
Gözde Özcan, Chengzhi Shi, Stratis Ioannidis
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
(Almost) Smooth Sailing: Towards Numerical Stability of Neural Networks Through Differentiable Regularization of the Condition Number
Rossen Nenov, Daniel Haider, Peter Balazs
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
Enhancing Concept-based Learning with Logic
Deepika Vemuri, Gautham Bellamkonda, Vineeth N. Balasubramanian
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
A Differentiable Approach to Multi-scale Brain Modeling
Chaoming Wang, Muyang Lyu, Tianqiu Zhang, Sichao He, Si Wu
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
Differentiable Cost-Parameterized Monge Map Estimators
Samuel Howard, George Deligiannidis, Patrick Rebeschini, James Thornton
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
Symbolic Autoencoding for Self-Supervised Sequence Learning
Mohammad Hossein Amani, Nicolas Baldwin, Amin Mansouri, Martin Josifoski, Maxime Peyrard, Robert West
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
Differentiable Wireless Simulation with Geometric Transformers
Thomas Hehn, Markus Peschl, Tribhuvanesh Orekondy, Arash Behboodi, Johann Brehmer
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
End-to-end Differentiable Model of Robot-terrain Interactions
Ruslan Agishev, Vladimír Kubelka, Martin Pecka, Tomas Svoboda, Karel Zimmermann
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone
BMapEst: Estimation of Brain Tissue Probability Maps using a Differentiable MRI Simulator
Utkarsh Gupta, Emmanouil Nikolakakis, Moritz Zaiss, Razvan Marinescu
- Published: 27 Jun 2024, Last Modified: 20 Aug 2024
- Differentiable Almost Everything
- Readers: Everyone