:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Klemps, Alexander, Ilia, Denis, Banerjee, Pradeep Kr., Chen, Ye, Tünnermann, Henrik, Ay, Nihat
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	https://arxiv.org/abs/2602.17263
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Dynamics-Aligned Shared Hypernetworks for Contextual RL under Discontinuous Shifts
di: Benad, Jan, et al.
Pubblicazione: (2026)

Wasserstein KL-divergence for Gaussian distributions
di: Datar, Adwait, et al.
Pubblicazione: (2025)

Convergence Properties of Natural Gradient Descent for Minimizing KL Divergence
di: Datar, Adwait, et al.
Pubblicazione: (2025)

Dynamics-Aligned Latent Imagination in Contextual World Models for Zero-Shot Generalization
di: Röder, Frank, et al.
Pubblicazione: (2025)

On the Natural Gradient of the Evidence Lower Bound
di: Ay, Nihat, et al.
Pubblicazione: (2023)

A Concise Mathematical Description of Active Inference in Discrete Time
di: van Oostrum, Jesse, et al.
Pubblicazione: (2024)

Shaping Laser Pulses with Reinforcement Learning
di: Capuano, Francesco, et al.
Pubblicazione: (2025)

Well-Posed KL-Regularized Control via Wasserstein and Kalman-Wasserstein KL Divergences
di: Stein, Viktor, et al.
Pubblicazione: (2026)

Analyzing Multimodal Integration in the Variational Autoencoder from an Information-Theoretic Perspective
di: Langer, Carlotta, et al.
Pubblicazione: (2024)

Latent Poincaré Shaping for Agentic Reinforcement Learning
di: Xia, Hanchen, et al.
Pubblicazione: (2026)

Improving the Effectiveness of Potential-Based Reward Shaping in Reinforcement Learning
di: Müller, Henrik, et al.
Pubblicazione: (2025)

Pulse Shape Simulation and Discrimination using Machine-Learning Techniques
di: Dutta, Shubham, et al.
Pubblicazione: (2022)

Outsourcing Control requires Control Complexity
di: Langer, Carlotta, et al.
Pubblicazione: (2022)

Learned Pulse Shaping Design for PAPR Reduction in DFT-s-OFDM
di: Carpi, Fabrizio, et al.
Pubblicazione: (2024)

A Counterfactual Approach for Addressing Individual User Unfairness in Collaborative Recommender System
di: Baidya, Nikita, et al.
Pubblicazione: (2026)

Hearing Your Blood Sugar: Non-Invasive Glucose Measurement Through Simple Vocal Signals, Transforming any Speech into a Sensor with Machine Learning
di: Ahmadli, Nihat, et al.
Pubblicazione: (2024)

The LCLS-II Photoinjector Laser Infrastructure
di: Zhang, Hao, et al.
Pubblicazione: (2023)

Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power
di: Korten, Till, et al.
Pubblicazione: (2024)

How Neural Losses Shape VAE Latents
di: Strano, Giorgio, et al.
Pubblicazione: (2026)

Generalising thermodynamic efficiency of interactions: inferential, information-geometric and computational perspectives
di: Chen, Qianyang, et al.
Pubblicazione: (2025)

Torsion of $α$-connections on the density manifold
di: Ay, Nihat, et al.
Pubblicazione: (2025)

Nonlinear Multiple Response Regression and Learning of Latent Spaces
di: Tian, Ye, et al.
Pubblicazione: (2025)

Quantifying Robustness: A Benchmarking Framework for Deep Learning Forecasting in Cyber-Physical Systems
di: Windmann, Alexander, et al.
Pubblicazione: (2025)

CodecSep: Prompt-Driven Universal Sound Separation on Neural Audio Codec Latents
di: Banerjee, Adhiraj, et al.
Pubblicazione: (2025)

Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers
di: Jiang, Yibo, et al.
Pubblicazione: (2024)

The New Era of Dynamic Pricing: Synergizing Supervised Learning and Quadratic Programming
di: Bramao, Gustavo, et al.
Pubblicazione: (2024)

Flow-Based Fragment Identification via Binding Site-Specific Latent Representations
di: Neeser, Rebecca Manuela, et al.
Pubblicazione: (2025)

Latent Action Learning Requires Supervision in the Presence of Distractors
di: Nikulin, Alexander, et al.
Pubblicazione: (2025)

Latent Wasserstein Adversarial Imitation Learning
di: Yang, Siqi, et al.
Pubblicazione: (2026)

Learning Boltzmann Generators via Constrained Mass Transport
di: von Klitzing, Christopher, et al.
Pubblicazione: (2025)

LBI: Parallel Scan Backpropagation via Latent Bounded Interfaces
di: Lee, Shaun Christopher, et al.
Pubblicazione: (2026)

From Logits to Latents: Contrastive Representation Shaping for LLM Unlearning
di: Tang, Haoran, et al.
Pubblicazione: (2026)

GRASP: Graph Reasoning Agents for Systems Pharmacology with Human-in-the-Loop
di: Bazgir, Omid, et al.
Pubblicazione: (2025)

Random Latent Exploration for Deep Reinforcement Learning
di: Mahankali, Srinath, et al.
Pubblicazione: (2024)

Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify Framework
di: Ye, Yubo, et al.
Pubblicazione: (2024)

Regret Lower Bounds for Learning Linear Quadratic Gaussian Systems
di: Ziemann, Ingvar, et al.
Pubblicazione: (2022)

Pulse Shape Discrimination Algorithms: Survey and Benchmark
di: Liu, Haoran, et al.
Pubblicazione: (2025)

Open source Differentiable ODE Solving Infrastructure
di: Singh, Rakshit Kr., et al.
Pubblicazione: (2024)

Learning Human-like Representations to Enable Learning Human Values
di: Wynn, Andrea, et al.
Pubblicazione: (2023)

On Generalization Across Environments In Multi-Objective Reinforcement Learning
di: Teoh, Jayden, et al.
Pubblicazione: (2025)