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Machine Learning

AI for Materials Science starter kit [D]

Hi everyone, I've been close to Deep Learning for a while now, and have a good grasp of the fundamentals. So for the computational chemis...

Reddit - Machine Learning · 1 min ·
‘AI-based super attacker’ threat looms as top crypto exchanges scramble for access to powerful Claude model
Llms

‘AI-based super attacker’ threat looms as top crypto exchanges scramble for access to powerful Claude model

Anthropic’s new AI model found vulnerabilities in code that has existed for years. The company said it had to restrict public access sin...

AI Tools & Products · 4 min ·
My bets on open models, mid-2026
Machine Learning

My bets on open models, mid-2026

What I expect to come next and why, focused on the open-closed gap.

AI Tools & Products · 7 min ·

All Content

[2502.07297] MM-DADM: Multimodal Drug-Aware Diffusion Model for Virtual Clinical Trials
Machine Learning

[2502.07297] MM-DADM: Multimodal Drug-Aware Diffusion Model for Virtual Clinical Trials

Abstract page for arXiv paper 2502.07297: MM-DADM: Multimodal Drug-Aware Diffusion Model for Virtual Clinical Trials

arXiv - Machine Learning · 4 min ·
[2502.00472] Binned Spectral Power Loss for Improved Prediction of Chaotic Systems
Machine Learning

[2502.00472] Binned Spectral Power Loss for Improved Prediction of Chaotic Systems

Abstract page for arXiv paper 2502.00472: Binned Spectral Power Loss for Improved Prediction of Chaotic Systems

arXiv - Machine Learning · 4 min ·
[2501.10677] Class-Imbalanced-Aware Adaptive Dataset Distillation for Scalable Pretrained Model on Credit Scoring
Machine Learning

[2501.10677] Class-Imbalanced-Aware Adaptive Dataset Distillation for Scalable Pretrained Model on Credit Scoring

Abstract page for arXiv paper 2501.10677: Class-Imbalanced-Aware Adaptive Dataset Distillation for Scalable Pretrained Model on Credit Sc...

arXiv - Machine Learning · 4 min ·
[2501.07237] Gradient Compression Beyond Low-Rank: Wavelet Subspaces Compact Optimizer States
Llms

[2501.07237] Gradient Compression Beyond Low-Rank: Wavelet Subspaces Compact Optimizer States

Abstract page for arXiv paper 2501.07237: Gradient Compression Beyond Low-Rank: Wavelet Subspaces Compact Optimizer States

arXiv - Machine Learning · 4 min ·
[2501.00200] Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes
Machine Learning

[2501.00200] Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes

Abstract page for arXiv paper 2501.00200: Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes

arXiv - Machine Learning · 4 min ·
[2410.05493] Transformers learn variable-order Markov chains in-context
Machine Learning

[2410.05493] Transformers learn variable-order Markov chains in-context

Abstract page for arXiv paper 2410.05493: Transformers learn variable-order Markov chains in-context

arXiv - Machine Learning · 3 min ·
[2410.05352] Recent Advances of Multimodal Continual Learning: A Comprehensive Survey
Machine Learning

[2410.05352] Recent Advances of Multimodal Continual Learning: A Comprehensive Survey

Abstract page for arXiv paper 2410.05352: Recent Advances of Multimodal Continual Learning: A Comprehensive Survey

arXiv - Machine Learning · 4 min ·
[2409.14590] Explainable AI needs formalization
Machine Learning

[2409.14590] Explainable AI needs formalization

Abstract page for arXiv paper 2409.14590: Explainable AI needs formalization

arXiv - Machine Learning · 4 min ·
[2404.15390] Remedying uncertainty representations in visual inference through Explaining-Away Variational Autoencoders
Machine Learning

[2404.15390] Remedying uncertainty representations in visual inference through Explaining-Away Variational Autoencoders

Abstract page for arXiv paper 2404.15390: Remedying uncertainty representations in visual inference through Explaining-Away Variational A...

arXiv - Machine Learning · 4 min ·
[2402.11877] Learning the Model While Learning Q: Finite-Time Sample Complexity of Online SyncMBQ
Machine Learning

[2402.11877] Learning the Model While Learning Q: Finite-Time Sample Complexity of Online SyncMBQ

Abstract page for arXiv paper 2402.11877: Learning the Model While Learning Q: Finite-Time Sample Complexity of Online SyncMBQ

arXiv - Machine Learning · 3 min ·
[2307.07753] Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks
Machine Learning

[2307.07753] Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks

Abstract page for arXiv paper 2307.07753: Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks

arXiv - Machine Learning · 3 min ·
[2306.02192] Correcting Auto-Differentiation in Neural-ODE Training
Machine Learning

[2306.02192] Correcting Auto-Differentiation in Neural-ODE Training

Abstract page for arXiv paper 2306.02192: Correcting Auto-Differentiation in Neural-ODE Training

arXiv - Machine Learning · 3 min ·
[2301.12230] Continual Graph Learning: A Survey
Machine Learning

[2301.12230] Continual Graph Learning: A Survey

Abstract page for arXiv paper 2301.12230: Continual Graph Learning: A Survey

arXiv - Machine Learning · 4 min ·
[2211.01512] Convergence of the Inexact Langevin Algorithm in KL Divergence with Application to Score-based Generative Models
Machine Learning

[2211.01512] Convergence of the Inexact Langevin Algorithm in KL Divergence with Application to Score-based Generative Models

Abstract page for arXiv paper 2211.01512: Convergence of the Inexact Langevin Algorithm in KL Divergence with Application to Score-based ...

arXiv - Machine Learning · 4 min ·
[2209.14267] Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets
Machine Learning

[2209.14267] Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets

Abstract page for arXiv paper 2209.14267: Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets

arXiv - Machine Learning · 4 min ·
[2603.28762] On-the-fly Repulsion in the Contextual Space for Rich Diversity in Diffusion Transformers
Machine Learning

[2603.28762] On-the-fly Repulsion in the Contextual Space for Rich Diversity in Diffusion Transformers

Abstract page for arXiv paper 2603.28762: On-the-fly Repulsion in the Contextual Space for Rich Diversity in Diffusion Transformers

arXiv - Machine Learning · 4 min ·
[2603.28644] Constructing Composite Features for Interpretable Music-Tagging
Machine Learning

[2603.28644] Constructing Composite Features for Interpretable Music-Tagging

Abstract page for arXiv paper 2603.28644: Constructing Composite Features for Interpretable Music-Tagging

arXiv - Machine Learning · 3 min ·
[2603.28553] Multimodal Analytics of Cybersecurity Crisis Preparation Exercises: What Predicts Success?
Machine Learning

[2603.28553] Multimodal Analytics of Cybersecurity Crisis Preparation Exercises: What Predicts Success?

Abstract page for arXiv paper 2603.28553: Multimodal Analytics of Cybersecurity Crisis Preparation Exercises: What Predicts Success?

arXiv - Machine Learning · 3 min ·
[2603.28605] Unsafe2Safe: Controllable Image Anonymization for Downstream Utility
Llms

[2603.28605] Unsafe2Safe: Controllable Image Anonymization for Downstream Utility

Abstract page for arXiv paper 2603.28605: Unsafe2Safe: Controllable Image Anonymization for Downstream Utility

arXiv - Machine Learning · 4 min ·
[2603.28591] Universal Approximation Constraints of Narrow ResNets: The Tunnel Effect
Machine Learning

[2603.28591] Universal Approximation Constraints of Narrow ResNets: The Tunnel Effect

Abstract page for arXiv paper 2603.28591: Universal Approximation Constraints of Narrow ResNets: The Tunnel Effect

arXiv - Machine Learning · 3 min ·
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