·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions56m◆Mapping Scientific Literature with Large Language Models and Topic Modeling56m◆Grounding Computer Use Agents on Human Demonstrations56m◆Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models56m◆LSTM based IoT Device Identification56m◆Breaking the Ice: Analyzing Cold Start Latency in vLLM56m◆Higher order PCA-like rotation-invariant features for detailed shape descriptors modulo rotation56m◆Minimal surfaces, Knots, and Neural Networks56m◆CCKS: Consensus-based Communication and Knowledge Sharing56m◆APPO: Agentic Procedural Policy Optimization56m◆Noise-Aware Framework for Correcting Corrupted Labels56m◆Using Explainability as a Training-Time Reliability Signal for Efficient ECG Classification56m◆Synthetic Homes: A Multimodal Generative AI Pipeline for Residential Building Data Generation under Data Scarcity56m◆Measuring Semantic Progress in Multi-turn Dialogue via Information Gain56m◆Evaluating and Combating the Impact of Concept Drift on the Performance of Machine Learning-Based Phishing Detection Systems56m◆Persistent Homology as a Theory of Emergent Structure56m◆Bypassing Prompt Guards in Production with Controlled-Release Prompting56m◆Open Materials Generation with Inference-Time Reinforcement Learning56m◆Mechanisms of Introspective Awareness56m◆Federated continual learning: A comprehensive survey on lifelong and privacy-preserving learning over distributed and non-stationary data56m◆Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions56m◆Mapping Scientific Literature with Large Language Models and Topic Modeling56m◆Grounding Computer Use Agents on Human Demonstrations56m◆Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models56m◆LSTM based IoT Device Identification56m◆Breaking the Ice: Analyzing Cold Start Latency in vLLM56m◆Higher order PCA-like rotation-invariant features for detailed shape descriptors modulo rotation56m◆Minimal surfaces, Knots, and Neural Networks56m◆CCKS: Consensus-based Communication and Knowledge Sharing56m◆APPO: Agentic Procedural Policy Optimization56m◆Noise-Aware Framework for Correcting Corrupted Labels56m◆Using Explainability as a Training-Time Reliability Signal for Efficient ECG Classification56m◆Synthetic Homes: A Multimodal Generative AI Pipeline for Residential Building Data Generation under Data Scarcity56m◆Measuring Semantic Progress in Multi-turn Dialogue via Information Gain56m◆Evaluating and Combating the Impact of Concept Drift on the Performance of Machine Learning-Based Phishing Detection Systems56m◆Persistent Homology as a Theory of Emergent Structure56m◆Bypassing Prompt Guards in Production with Controlled-Release Prompting56m◆Open Materials Generation with Inference-Time Reinforcement Learning56m◆Mechanisms of Introspective Awareness56m◆Federated continual learning: A comprehensive survey on lifelong and privacy-preserving learning over distributed and non-stationary data56m◆
News/model/pocket-tts

pocket-tts news

7 articles mentioning pocket-tts

arxivJun 4

SpliceBind: Isoform-Aware Prediction of Binding Pocket Druggability

arXiv:2606.04020v1 Announce Type: cross Abstract: Splice-mediated drug resistance occurs in up to 40% of patients on targeted kinase inhibitors, yet state-of-the-art druggability tools operate on single structures and cannot compare across isoforms. We introduce SpliceBind, a graph neural network fr

arxivJun 3

A Pocket Offline Model for Simultaneous Speech Translation as CUNI Submission to IWSLT 2026

arXiv:2606.03948v1 Announce Type: new Abstract: We implement simultaneous translation capability with the offline direct speech-to-text translation model Canary, using the state-of-the-art policy AlignAtt, and submit it to IWSLT 2026 Simultaneous Speech Translation Shared task for Czech to English a

arxivJun 3

From Holo Pockets to Electron Density: GPT-style Drug Design with Density

arXiv:2605.08767v2 Announce Type: replace Abstract: Recent advances in generative modeling have enabled significant progress in structure-based drug design (SBDD). Existing methods typically condition molecule generation on empty binding pockets from holo complexes, overlooking informative component

arxivJun 1

Pocket-Dentist: On-Device Dental Image Understanding via Efficient Multimodal Large Language Models

arXiv:2605.29299v2 Announce Type: replace-cross Abstract: Evaluations of dental vision-language models remain fragmented across datasets, task definitions and metrics, and often ignore their computational cost. This limits their widespread deployment for dental screening outside specialist centres,

arxivMay 19

Fine-tuning Pocket-Aware Diffusion Models via Denoising Policy Optimization

arXiv:2605.17693v1 Announce Type: cross Abstract: Structure-based drug design has been accelerated by pocket-aware 3D generative models, yet most methods primarily fit the training distribution and may fall short of satisfying multiple properties required in real-world therapeutic drug discovery. Re

arxivMay 19

Pocket Foundation Models: Distilling TFMs into CPU-Ready Gradient-Boosted Trees

arXiv:2605.18654v1 Announce Type: cross Abstract: A fraud scorer needs to answer in under 2 ms. The best tabular foundation models (TFMs) take 151-1,275 ms on GPU. We close this gap by distilling the TFM offline into an XGBoost or CatBoost student that runs natively on CPU. The central obstacle is s

arxivApr 28

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network

arXiv:2604.23134v1 Announce Type: new Abstract: Accurate molecular representations are critical for drug discovery, and a central challenge lies in capturing the chemical environment of molecular fragments, as key interactions, such as H-bond and {\pi} stacking, occur only under specific local condi

HomeModelsNews