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[2603.28113] Lipschitz verification of neural networks through training
Machine Learning

[2603.28113] Lipschitz verification of neural networks through training

Abstract page for arXiv paper 2603.28113: Lipschitz verification of neural networks through training

arXiv - Machine Learning · 4 min ·
[2603.28101] Heddle: A Distributed Orchestration System for Agentic RL Rollout
Llms

[2603.28101] Heddle: A Distributed Orchestration System for Agentic RL Rollout

Abstract page for arXiv paper 2603.28101: Heddle: A Distributed Orchestration System for Agentic RL Rollout

arXiv - Machine Learning · 4 min ·
[2603.28092] InkDrop: Invisible Backdoor Attacks Against Dataset Condensation
Machine Learning

[2603.28092] InkDrop: Invisible Backdoor Attacks Against Dataset Condensation

Abstract page for arXiv paper 2603.28092: InkDrop: Invisible Backdoor Attacks Against Dataset Condensation

arXiv - Machine Learning · 4 min ·
[2603.28074] Koopman-based surrogate modeling for reinforcement-learning-control of Rayleigh-Benard convection
Machine Learning

[2603.28074] Koopman-based surrogate modeling for reinforcement-learning-control of Rayleigh-Benard convection

Abstract page for arXiv paper 2603.28074: Koopman-based surrogate modeling for reinforcement-learning-control of Rayleigh-Benard convection

arXiv - Machine Learning · 3 min ·
[2603.28073] SIMR-NO: A Spectrally-Informed Multi-Resolution Neural Operator for Turbulent Flow Super-Resolution
Machine Learning

[2603.28073] SIMR-NO: A Spectrally-Informed Multi-Resolution Neural Operator for Turbulent Flow Super-Resolution

Abstract page for arXiv paper 2603.28073: SIMR-NO: A Spectrally-Informed Multi-Resolution Neural Operator for Turbulent Flow Super-Resolu...

arXiv - Machine Learning · 4 min ·
[2603.28067] From Vessel Trajectories to Safety-Critical Encounter Scenarios: A Generative AI Framework for Autonomous Ship Digital Testing
Generative Ai

[2603.28067] From Vessel Trajectories to Safety-Critical Encounter Scenarios: A Generative AI Framework for Autonomous Ship Digital Testing

Abstract page for arXiv paper 2603.28067: From Vessel Trajectories to Safety-Critical Encounter Scenarios: A Generative AI Framework for ...

arXiv - Machine Learning · 4 min ·
[2603.28057] Physics-Embedded Feature Learning for AI in Medical Imaging
Machine Learning

[2603.28057] Physics-Embedded Feature Learning for AI in Medical Imaging

Abstract page for arXiv paper 2603.28057: Physics-Embedded Feature Learning for AI in Medical Imaging

arXiv - Machine Learning · 4 min ·
[2603.28053] Reducing Oracle Feedback with Vision-Language Embeddings for Preference-Based RL
Machine Learning

[2603.28053] Reducing Oracle Feedback with Vision-Language Embeddings for Preference-Based RL

Abstract page for arXiv paper 2603.28053: Reducing Oracle Feedback with Vision-Language Embeddings for Preference-Based RL

arXiv - Machine Learning · 4 min ·
[2603.28040] Bit-Identical Medical Deep Learning via Structured Orthogonal Initialization
Machine Learning

[2603.28040] Bit-Identical Medical Deep Learning via Structured Orthogonal Initialization

Abstract page for arXiv paper 2603.28040: Bit-Identical Medical Deep Learning via Structured Orthogonal Initialization

arXiv - Machine Learning · 4 min ·
[2603.28037] Diffusion Maps is not Dimensionality Reduction
Generative Ai

[2603.28037] Diffusion Maps is not Dimensionality Reduction

Abstract page for arXiv paper 2603.28037: Diffusion Maps is not Dimensionality Reduction

arXiv - Machine Learning · 3 min ·
[2603.28006] FedDES: Graph-Based Dynamic Ensemble Selection for Personalized Federated Learning
Machine Learning

[2603.28006] FedDES: Graph-Based Dynamic Ensemble Selection for Personalized Federated Learning

Abstract page for arXiv paper 2603.28006: FedDES: Graph-Based Dynamic Ensemble Selection for Personalized Federated Learning

arXiv - Machine Learning · 4 min ·
[2603.27996] From Independent to Correlated Diffusion: Generalized Generative Modeling with Probabilistic Computers
Machine Learning

[2603.27996] From Independent to Correlated Diffusion: Generalized Generative Modeling with Probabilistic Computers

Abstract page for arXiv paper 2603.27996: From Independent to Correlated Diffusion: Generalized Generative Modeling with Probabilistic Co...

arXiv - Machine Learning · 4 min ·
[2603.27971] Principal Prototype Analysis on Manifold for Interpretable Reinforcement Learning
Llms

[2603.27971] Principal Prototype Analysis on Manifold for Interpretable Reinforcement Learning

Abstract page for arXiv paper 2603.27971: Principal Prototype Analysis on Manifold for Interpretable Reinforcement Learning

arXiv - Machine Learning · 3 min ·
[2603.27962] Gradient Manipulation in Distributed Stochastic Gradient Descent with Strategic Agents: Truthful Incentives with Convergence Guarantees
Machine Learning

[2603.27962] Gradient Manipulation in Distributed Stochastic Gradient Descent with Strategic Agents: Truthful Incentives with Convergence Guarantees

Abstract page for arXiv paper 2603.27962: Gradient Manipulation in Distributed Stochastic Gradient Descent with Strategic Agents: Truthfu...

arXiv - Machine Learning · 4 min ·
[2603.27960] Efficient Inference of Large Vision Language Models
Llms

[2603.27960] Efficient Inference of Large Vision Language Models

Abstract page for arXiv paper 2603.27960: Efficient Inference of Large Vision Language Models

arXiv - Machine Learning · 3 min ·
[2603.27955] Symbolic Density Estimation: A Decompositional Approach
Machine Learning

[2603.27955] Symbolic Density Estimation: A Decompositional Approach

Abstract page for arXiv paper 2603.27955: Symbolic Density Estimation: A Decompositional Approach

arXiv - Machine Learning · 3 min ·
[2603.27950] Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute
Machine Learning

[2603.27950] Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute

Abstract page for arXiv paper 2603.27950: Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute

arXiv - Machine Learning · 4 min ·
[2603.27929] Physics-Guided Transformer (PGT): Physics-Aware Attention Mechanism for PINNs
Machine Learning

[2603.27929] Physics-Guided Transformer (PGT): Physics-Aware Attention Mechanism for PINNs

Abstract page for arXiv paper 2603.27929: Physics-Guided Transformer (PGT): Physics-Aware Attention Mechanism for PINNs

arXiv - Machine Learning · 4 min ·
[2603.27914] ITQ3_S: High-Fidelity 3-bit LLM Inference via Interleaved Ternary Quantization with Rotation-Domain Smoothing
Llms

[2603.27914] ITQ3_S: High-Fidelity 3-bit LLM Inference via Interleaved Ternary Quantization with Rotation-Domain Smoothing

Abstract page for arXiv paper 2603.27914: ITQ3_S: High-Fidelity 3-bit LLM Inference via Interleaved Ternary Quantization with Rotation-Do...

arXiv - AI · 4 min ·
[2603.27905] ATLAS-RTC: Closing the Loop on LLM Agent Output with Token-Level Runtime Control
Llms

[2603.27905] ATLAS-RTC: Closing the Loop on LLM Agent Output with Token-Level Runtime Control

Abstract page for arXiv paper 2603.27905: ATLAS-RTC: Closing the Loop on LLM Agent Output with Token-Level Runtime Control

arXiv - Machine Learning · 3 min ·