Saved in:
| Main Authors: | Paulus, Anselm, Rolínek, Michal, Musil, Vít, Amos, Brandon, Martius, Georg |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2105.02343 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Differentiation of Blackbox Combinatorial Solvers
by: Vlastelica, Marin, et al.
Published: (2019)
by: Vlastelica, Marin, et al.
Published: (2019)
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
by: Rolínek, Michal, et al.
Published: (2020)
by: Rolínek, Michal, et al.
Published: (2020)
Optimizing Rank-based Metrics with Blackbox Differentiation
by: Rolínek, Michal, et al.
Published: (2019)
by: Rolínek, Michal, et al.
Published: (2019)
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers
by: Paulus, Anselm, et al.
Published: (2024)
by: Paulus, Anselm, et al.
Published: (2024)
Differentiable Simulation of Hard Contacts with Soft Gradients for Learning and Control
by: Paulus, Anselm, et al.
Published: (2025)
by: Paulus, Anselm, et al.
Published: (2025)
SoftJAX & SoftTorch: Empowering Automatic Differentiation Libraries with Informative Gradients
by: Paulus, Anselm, et al.
Published: (2026)
by: Paulus, Anselm, et al.
Published: (2026)
Backpropagation through Combinatorial Algorithms: Identity with Projection Works
by: Sahoo, Subham Sekhar, et al.
Published: (2022)
by: Sahoo, Subham Sekhar, et al.
Published: (2022)
AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs
by: Paulus, Anselm, et al.
Published: (2024)
by: Paulus, Anselm, et al.
Published: (2024)
Novel Algorithms for Smoothly Differentiable and Efficiently Vectorizable Contact Manifold Construction
by: Beker, Onur, et al.
Published: (2026)
by: Beker, Onur, et al.
Published: (2026)
Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints
by: Kolev, Pavel, et al.
Published: (2025)
by: Kolev, Pavel, et al.
Published: (2025)
Offline Diversity Maximization Under Imitation Constraints
by: Vlastelica, Marin, et al.
Published: (2023)
by: Vlastelica, Marin, et al.
Published: (2023)
Increasingly global convergence of Hermite serie
by: Musil, Vít, et al.
Published: (2024)
by: Musil, Vít, et al.
Published: (2024)
Directed Exploration in Reinforcement Learning from Linear Temporal Logic
by: Bagatella, Marco, et al.
Published: (2024)
by: Bagatella, Marco, et al.
Published: (2024)
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities
by: Zadaianchuk, Andrii, et al.
Published: (2023)
by: Zadaianchuk, Andrii, et al.
Published: (2023)
Smoothly Differentiable and Efficiently Vectorizable Contact Manifold Generation
by: Beker, Onur, et al.
Published: (2026)
by: Beker, Onur, et al.
Published: (2026)
Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling
by: Hollenstein, Jakob, et al.
Published: (2023)
by: Hollenstein, Jakob, et al.
Published: (2023)
Soft Forward-Backward Representations for Zero-shot Reinforcement Learning with General Utilities
by: Bagatella, Marco, et al.
Published: (2026)
by: Bagatella, Marco, et al.
Published: (2026)
On amortizing convex conjugates for optimal transport
by: Amos, Brandon
Published: (2022)
by: Amos, Brandon
Published: (2022)
Learning 3D-Gaussian Simulators from RGB Videos
by: Zhobro, Mikel, et al.
Published: (2025)
by: Zhobro, Mikel, et al.
Published: (2025)
Tutorial on amortized optimization
by: Amos, Brandon
Published: (2022)
by: Amos, Brandon
Published: (2022)
Safety Alignment of LMs via Non-cooperative Games
by: Paulus, Anselm, et al.
Published: (2025)
by: Paulus, Anselm, et al.
Published: (2025)
Forecasting in Offline Reinforcement Learning for Non-stationary Environments
by: Ada, Suzan Ece, et al.
Published: (2025)
by: Ada, Suzan Ece, et al.
Published: (2025)
Scaling Laws and Tradeoffs in Recurrent Networks of Expressive Neurons
by: Spieler, Aaron, et al.
Published: (2026)
by: Spieler, Aaron, et al.
Published: (2026)
Inverse Mixed-Integer Programming: Learning Constraints then Objective Functions
by: Kitaoka, Akira
Published: (2025)
by: Kitaoka, Akira
Published: (2025)
Optimality and NP-Hardness of Transformers in Learning Markovian Dynamical Functions
by: Ding, Yanna, et al.
Published: (2025)
by: Ding, Yanna, et al.
Published: (2025)
Test-time Offline Reinforcement Learning on Goal-related Experience
by: Bagatella, Marco, et al.
Published: (2025)
by: Bagatella, Marco, et al.
Published: (2025)
Zero-Shot Offline Imitation Learning via Optimal Transport
by: Rupf, Thomas, et al.
Published: (2024)
by: Rupf, Thomas, et al.
Published: (2024)
A General Constructive Upper Bound on Shallow Neural Nets Complexity
by: Hakl, Frantisek, et al.
Published: (2025)
by: Hakl, Frantisek, et al.
Published: (2025)
HardNet++: Nonlinear Constraint Enforcement in Neural Networks
by: Goertzen, Andrea, et al.
Published: (2026)
by: Goertzen, Andrea, et al.
Published: (2026)
Multiple Mean-Payoff Optimization under Local Stability Constraints
by: Klaška, David, et al.
Published: (2024)
by: Klaška, David, et al.
Published: (2024)
Active Fine-Tuning of Multi-Task Policies
by: Bagatella, Marco, et al.
Published: (2024)
by: Bagatella, Marco, et al.
Published: (2024)
Offline vs. Online Learning in Model-based RL: Lessons for Data Collection Strategies
by: Chen, Jiaqi, et al.
Published: (2025)
by: Chen, Jiaqi, et al.
Published: (2025)
NPG-Muse: Scaling Long Chain-of-Thought Reasoning with NP-Hard Graph Problems
by: Wang, Yuyao, et al.
Published: (2025)
by: Wang, Yuyao, et al.
Published: (2025)
Stochastic Decision Horizons for Constrained Reinforcement Learning
by: Milosevic, Nikola, et al.
Published: (2026)
by: Milosevic, Nikola, et al.
Published: (2026)
Memory Assignment for Finite-Memory Strategies in Adversarial Patrolling Games
by: Kůr, Vojtěch, et al.
Published: (2025)
by: Kůr, Vojtěch, et al.
Published: (2025)
Almost compact embeddings between Orlicz and Lorentz spaces
by: Musil, Vít, et al.
Published: (2024)
by: Musil, Vít, et al.
Published: (2024)
Temporally Consistent Object-Centric Learning by Contrasting Slots
by: Manasyan, Anna, et al.
Published: (2024)
by: Manasyan, Anna, et al.
Published: (2024)
On Integer Programming for the Binarized Neural Network Verification Problem
by: Kim, Woojin, et al.
Published: (2025)
by: Kim, Woojin, et al.
Published: (2025)
Epistemically-guided forward-backward exploration
by: Urpí, Núria Armengol, et al.
Published: (2025)
by: Urpí, Núria Armengol, et al.
Published: (2025)
DAE-HardNet: A Physics Constrained Neural Network Enforcing Differential-Algebraic Hard Constraints
by: Golder, Rahul, et al.
Published: (2025)
by: Golder, Rahul, et al.
Published: (2025)
Similar Items
-
Differentiation of Blackbox Combinatorial Solvers
by: Vlastelica, Marin, et al.
Published: (2019) -
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
by: Rolínek, Michal, et al.
Published: (2020) -
Optimizing Rank-based Metrics with Blackbox Differentiation
by: Rolínek, Michal, et al.
Published: (2019) -
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers
by: Paulus, Anselm, et al.
Published: (2024) -
Differentiable Simulation of Hard Contacts with Soft Gradients for Learning and Control
by: Paulus, Anselm, et al.
Published: (2025)