· ai
[Paper] Introduction to Symbolic Regression in the Physical Sciences
Symbolic regression (SR) has emerged as a powerful method for uncovering interpretable mathematical relationships from data, offering a novel route to both scie...
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- · it
JP Morgan’s AI adoption hit 50% of employees. The secret? A connectivity-first architecture
When Derek Waldron and his technical team at JPMorgan Chase first launched an LLM suite with personal assistants two-and-a-half years ago, they weren’t sure wha...
- · ai
[Paper] Spatia: Video Generation with Updatable Spatial Memory
Existing video generation models struggle to maintain long-term spatial and temporal consistency due to the dense, high-dimensional nature of video signals. To ...
- · ai
[Paper] In Pursuit of Pixel Supervision for Visual Pre-training
At the most basic level, pixels are the source of the visual information through which we perceive the world. Pixels contain information at all levels, ranging ...
- · ai
[Paper] DiffusionVL: Translating Any Autoregressive Models into Diffusion Vision Language Models
In recent multimodal research, the diffusion paradigm has emerged as a promising alternative to the autoregressive paradigm (AR), owing to its unique decoding a...
- · ai
[Paper] Predictive Concept Decoders: Training Scalable End-to-End Interpretability Assistants
Interpreting the internal activations of neural networks can produce more faithful explanations of their behavior, but is difficult due to the complex structure...
- · ai
[Paper] Gaussian Pixel Codec Avatars: A Hybrid Representation for Efficient Rendering
We present Gaussian Pixel Codec Avatars (GPiCA), photorealistic head avatars that can be generated from multi-view images and efficiently rendered on mobile dev...
- · ai
[Paper] Artism: AI-Driven Dual-Engine System for Art Generation and Critique
This paper proposes a dual-engine AI architectural method designed to address the complex problem of exploring potential trajectories in the evolution of art. W...
- · ai
[Paper] Multi-View Foundation Models
Foundation models are vital tools in various Computer Vision applications. They take as input a single RGB image and output a deep feature representation that i...
- · ai
[Paper] GateFusion: Hierarchical Gated Cross-Modal Fusion for Active Speaker Detection
Active Speaker Detection (ASD) aims to identify who is currently speaking in each frame of a video. Most state-of-the-art approaches rely on late fusion to comb...
- · ai
[Paper] Learning Model Parameter Dynamics in a Combination Therapy for Bladder Cancer from Sparse Biological Data
In a mathematical model of interacting biological organisms, where external interventions may alter behavior over time, traditional models that assume fixed par...
- · ai
[Paper] Dynamic Rebatching for Efficient Early-Exit Inference with DREX
Early-Exit (EE) is a Large Language Model (LLM) architecture that accelerates inference by allowing easier tokens to be generated using only a subset of the mod...