Rocket - Think it. Type it. Launch it.
Mini toolsPapers
Filter by company
-
DCAU-Net: Differential Cross Attention and Channel-Spatial Feature Fusion for Medical Image Segmentation
-
Association of Radiologic PPFE Change with Mortality in Lung Cancer Screening Cohorts
-
What Do We Care About in Bandits with Noncompliance? BRACE: Bandits with Recommendations, Abstention, and Certified Effects
-
Enhancing Debunking Effectiveness through LLM-based Personality Adaptation
-
Towards Unified Multimodal Interleaved Generation via Group Relative Policy Optimization
-
Memory-Guided View Refinement for Dynamic Human-in-the-loop EQA
-
A comprehensive study of time-of-flight non-line-of-sight imaging
-
GeoSolver: Scaling Test-Time Reasoning in Remote Sensing with Fine-Grained Process Supervision
-
Compiler-First State Space Duality and Portable $O(1)$ Autoregressive Caching for Inference
-
ALARM: Audio-Language Alignment for Reasoning Models
-
Learning Bayesian and Markov Networks with an Unreliable Oracle
-
a-TMFG: Scalable Triangulated Maximally Filtered Graphs via Approximate Nearest Neighbors
-
GeoAlignCLIP: Enhancing Fine-Grained Vision-Language Alignment in Remote Sensing via Multi-Granular Consistency Learning
-
An Optimal Control Approach To Transformer Training
-
More than the Sum: Panorama-Language Models for Adverse Omni-Scenes
-
SCDP: Learning Humanoid Locomotion from Partial Observations via Mixed-Observation Distillation
-
Routing without Forgetting
-
Towards Understanding Adam Convergence on Highly Degenerate Polynomials
-
BinaryAttention: One-Bit QK-Attention for Vision and Diffusion Transformers
-
Nonparametric Variational Differential Privacy via Embedding Parameter Clipping
-
Memorization capacity of deep ReLU neural networks characterized by width and depth
-
Build, Borrow, or Just Fine-Tune? A Political Scientist's Guide to Choosing NLP Models
-
Symbolic Discovery of Stochastic Differential Equations with Genetic Programming
-
Detecting Miscitation on the Scholarly Web through LLM-Augmented Text-Rich Graph Learning
-
A Variational Latent Equilibrium for Learning in Neuronal Circuits
-
MM-algorithms for traditional and convex NMF with Tweedie and Negative Binomial cost functions and empirical evaluation
-
Digging Deeper: Learning Multi-Level Concept Hierarchies
-
Learning the Hierarchical Organization in Brain Network for Brain Disorder Diagnosis
-
ParTY: Part-Guidance for Expressive Text-to-Motion Synthesis
-
A Saccade-inspired Approach to Image Classification using Vision Transformer Attention Maps
-
Surgical Repair of Collapsed Attention Heads in ALiBi Transformers
-
Context Engineering: From Prompts to Corporate Multi-Agent Architecture
-
Physics-Driven 3D Gaussian Rendering for Zero-Shot MRI Super-Resolution
-
Decoder-Free Distillation for Quantized Image Restoration
-
Grounding Synthetic Data Generation With Vision and Language Models
-
X-GS: An Extensible Open Framework for Perceiving and Thinking via 3D Gaussian Splatting
-
Tracking Cancer Through Text: Longitudinal Extraction From Radiology Reports Using Open-Source Large Language Models
-
PRECEPT: Planning Resilience via Experience, Context Engineering & Probing Trajectories A Unified Framework for Test-Time Adaptation with Compositional Rule Learning and Pareto-Guided Prompt Evolution
-
Multi-DNN Inference of Sparse Models on Edge SoCs
-
MM-tau-p$^2$: Persona-Adaptive Prompting for Robust Multi-Modal Agent Evaluation in Dual-Control Settings
-
Evolution of Photonic Quantum Machine Learning under Noise
-
Well Log-Guided Synthesis of Subsurface Images from Sparse Petrography Data Using cGANs
-
MiniAppBench: Evaluating the Shift from Text to Interactive HTML Responses in LLM-Powered Assistants
-
OTPL-VIO: Robust Visual-Inertial Odometry with Optimal Transport Line Association and Adaptive Uncertainty
-
Understanding the Interplay between LLMs' Utilisation of Parametric and Contextual Knowledge: A keynote at ECIR 2025
-
When to Lock Attention: Training-Free KV Control in Video Diffusion
-
FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting
-
No evaluation without fair representation : Impact of label and selection bias on the evaluation, performance and mitigation of classification models
-
DiffWind: Physics-Informed Differentiable Modeling of Wind-Driven Object Dynamics
-
VarSplat: Uncertainty-aware 3D Gaussian Splatting for Robust RGB-D SLAM
