· ai
[Paper] In-Context Sync-LoRA for Portrait Video Editing
Editing portrait videos is a challenging task that requires flexible yet precise control over a wide range of modifications, such as appearance changes, express...
-
- · ai
The Machine Learning “Advent Calendar” Day 2: k-NN Classifier in Excel
Exploring the k-NN classifier with its variants and improvements The post The Machine Learning “Advent Calendar” Day 2: k-NN Classifier in Excel appeared first...
- · ai
[Paper] From Moderation to Mediation: Can LLMs Serve as Mediators in Online Flame Wars?
The rapid advancement of large language models (LLMs) has opened new possibilities for AI for good applications. As LLMs increasingly mediate online communicati...
- · ai
[Paper] Fine-Tuned Large Language Models for Logical Translation: Reducing Hallucinations with Lang2Logic
Recent advances in natural language processing (NLP), particularly large language models (LLMs), have motivated the automatic translation of natural language st...
- · ai
[Paper] ProteinPNet: Prototypical Part Networks for Concept Learning in Spatial Proteomics
Understanding the spatial architecture of the tumor microenvironment (TME) is critical to advance precision oncology. We present ProteinPNet, a novel framework ...
- · ai
[Paper] Rethinking Generalized BCIs: Benchmarking 340,000+ Unique Algorithmic Configurations for EEG Mental Command Decoding
Robust decoding and classification of brain patterns measured with electroencephalography (EEG) remains a major challenge for real-world (i.e. outside scientifi...
- · ai
AWS launches new Nova AI models and a service that gives customers more control
Amazon Web Services announced four new AI models within its Nova model family and a frontier model service....
- · ai
[Paper] Flexible Gravitational-Wave Parameter Estimation with Transformers
Gravitational-wave data analysis relies on accurate and efficient methods to extract physical information from noisy detector signals, yet the increasing rate a...
- · ai
[Paper] Pruning AMR: Efficient Visualization of Implicit Neural Representations via Weight Matrix Analysis
An implicit neural representation (INR) is a neural network that approximates a spatiotemporal function. Many memory-intensive visualization tasks, including mo...
- · ai
[Paper] Lumos: Let there be Language Model System Certification
We introduce the first principled framework, Lumos, for specifying and formally certifying Language Model System (LMS) behaviors. Lumos is an imperative probabi...
- · ai
[Paper] Representation of Inorganic Synthesis Reactions and Prediction: Graphical Framework and Datasets
While machine learning has enabled the rapid prediction of inorganic materials with novel properties, the challenge of determining how to synthesize these mater...
- · ai
[Paper] Benchmarking Scientific Understanding and Reasoning for Video Generation using VideoScience-Bench
The next frontier for video generation lies in developing models capable of zero-shot reasoning, where understanding real-world scientific laws is crucial for a...