Wispr Flow - Don’t type, just speak
Mini toolsPapers
Filter by company
-
Active Sampling Sample-based Quantum Diagonalization from Finite-Shot Measurements
-
AMES: Approximate Multi-modal Enterprise Search via Late Interaction Retrieval
-
Exploring label correlations using decision templates for ensemble of classifier chains
-
The AI Fiction Paradox
-
Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization
-
NumColor: Precise Numeric Color Control in Text-to-Image Generation
-
Ghosts of Softmax: Complex Singularities That Limit Safe Step Sizes in Cross-Entropy
-
Semantic Aware Feature Extraction for Enhanced 3D Reconstruction
-
Performance evaluation of deep learning models for image analysis: considerations for visual control and statistical metrics
-
Holographic Invariant Storage: Design-Time Safety Contracts via Vector Symbolic Architectures
-
Robust Automatic Differentiation of Square-Root Kalman Filters via Gramian Differentials
-
Task-Oriented Wireless Transmission of 3D Point Clouds: Geometric Versus Semantic Robustness
-
Scalable Classification of Course Information Sheets Using Large Language Models: A Reusable Institutional Method for Academic Quality Assurance
-
MR-GNF: Multi-Resolution Graph Neural Forecasting on Ellipsoidal Meshes for Efficient Regional Weather Prediction
-
EmDT: Embedding Diffusion Transformer for Tabular Data Generation in Fraud Detection
-
Privacy-Preserving Machine Learning for IoT: A Cross-Paradigm Survey and Future Roadmap
-
DiveUp: Learning Feature Upsampling from Diverse Vision Foundation Models
-
Analytical Logit Scaling for High-Resolution Sea Ice Topology Retrieval from Weakly Labeled SAR Imagery
-
State Algebra for Probabilistic Logic
-
LingoMotion: An Interpretable and Unambiguous Symbolic Representation for Human Motion
-
Automated Self-Testing as a Quality Gate: Evidence-Driven Release Management for LLM Applications
-
An Empirical Investigation of Pre-Trained Deep Learning Model Reuse in the Scientific Process
-
State-space models through the lens of ensemble control
-
Volumetric Radar Echo Motion Estimation Using Physics-Informed Deep Learning: A Case Study Over Slovakia
-
Opportunistic Cardiac Health Assessment: Estimating Phenotypes from Localizer MRI through Multi-Modal Representations
-
EnterpriseOps-Gym: Environments and Evaluations for Stateful Agentic Planning and Tool Use in Enterprise Settings
-
A Causal Framework for Mitigating Data Shifts in Healthcare
-
The Equivalence Theorem: First-Class Relationships for Structurally Complete Database Systems
-
Orla: A Library for Serving LLM-Based Multi-Agent Systems
-
NCCL EP: Towards a Unified Expert Parallel Communication API for NCCL
-
A Grid-Based Framework for E-Scooter Demand Representation and Temporal Input Design for Deep Learning: Evidence from Austin, Texas
-
LLM Routing as Reasoning: A MaxSAT View
-
Robust Sequential Tracking via Bounded Information Geometry and Non-Parametric Field Actions
-
Egocentric World Model for Photorealistic Hand-Object Interaction Synthesis
-
Privacy-Preserving Federated Fraud Detection in Payment Transactions with NVIDIA FLARE
-
Design and evaluation of an agentic workflow for crisis-related synthetic tweet datasets
-
BERTology of Molecular Property Prediction
-
Locatability-Guided Adaptive Reasoning for Image Geo-Localization with Vision-Language Models
-
MedArena: Comparing LLMs for Medicine-in-the-Wild Clinician Preferences
-
Widespread Gender and Pronoun Bias in Moral Judgments Across LLMs
-
SemRep: Generative Code Representation Learning with Code Transformations
-
StatePlane: A Cognitive State Plane for Long-Horizon AI Systems Under Bounded Context
-
PLUME: Building a Network-Native Foundation Model for Wireless Traces via Protocol-Aware Tokenization
-
Benchmarking Large Language Models on Reference Extraction and Parsing in the Social Sciences and Humanities
-
Causal Attribution via Activation Patching
-
Privacy Preserving Topic-wise Sentiment Analysis of the Iran Israel USA Conflict Using Federated Transformer Models
-
Representation Learning for Spatiotemporal Physical SystemsFlatiron Institute, New York University, Princeton University, Université Paris Cité, University Paris-Saclay
-
XSkill: Continual Learning from Experience and Skills in Multimodal Agents
-
Attend Before Attention: Efficient and Scalable Video Understanding via Autoregressive Gazing
-
Flowcean - Model Learning for Cyber-Physical Systems
