·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws9h◆Bridging AI and Clinical Reasoning: Abductive Explanations for Alignment on Critical Symptoms9h◆CHASD: Language Increment-Calibrated Contrastive Decoding against Hallucination in LVLMs9h◆Prudent-Banker: No Extra Fees for Baseline Safety in Adversarial Bandits With and Without Delays9h◆InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion9h◆Representational Alignment with Chemical Induced Fit for Molecular Relational Learning9h◆One Policy, Infinite NPCs: Persona-Traceable Shared RL Policies for Scalable Game Agents9h◆RAG4Outcome: A Retrieval-Augmented Multimodal Framework for Prognostic Prediction in Chronic Osteomyelitis9h◆Uncovering the Latent Potential of Deep Intermediate Representations9h◆OpenSkillEval: Automatically Auditing the Open Skill Ecosystem for LLM Agents9h◆Beyond Log Likelihood: Probability-Based Objectives for Supervised Fine-Tuning across the Model Capability Continuum9h◆Debiased Negative Mining Improves Out-of-distribution Detection with Pre-trained Vision-Language Models9h◆FATHOMS-RAG: A Framework for the Assessment of Thinking and Observation in Multimodal Systems that use Retrieval Augmented Generation9h◆SCRIPT: Scalable Diffusion Policy with Multi-stage Training for Language-driven Physics-Based Humanoid Control9h◆Detecting Drunk Driving Using Off-the-Shelf Smartwatches9h◆Decision-Aware Quadratic ReLU Replacement for HE-Friendly Inference9h◆MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks9h◆NeuroNL2LTL: A Neurosymbolic Framework for Natural Language Translation of Linear Temporal Logic9h◆Agentic Proving for Program Verification9h◆Co-ReAct: Rubrics as Step-Level Collaborators for ReAct Agents9h◆LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws9h◆Bridging AI and Clinical Reasoning: Abductive Explanations for Alignment on Critical Symptoms9h◆CHASD: Language Increment-Calibrated Contrastive Decoding against Hallucination in LVLMs9h◆Prudent-Banker: No Extra Fees for Baseline Safety in Adversarial Bandits With and Without Delays9h◆InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion9h◆Representational Alignment with Chemical Induced Fit for Molecular Relational Learning9h◆One Policy, Infinite NPCs: Persona-Traceable Shared RL Policies for Scalable Game Agents9h◆RAG4Outcome: A Retrieval-Augmented Multimodal Framework for Prognostic Prediction in Chronic Osteomyelitis9h◆Uncovering the Latent Potential of Deep Intermediate Representations9h◆OpenSkillEval: Automatically Auditing the Open Skill Ecosystem for LLM Agents9h◆Beyond Log Likelihood: Probability-Based Objectives for Supervised Fine-Tuning across the Model Capability Continuum9h◆Debiased Negative Mining Improves Out-of-distribution Detection with Pre-trained Vision-Language Models9h◆FATHOMS-RAG: A Framework for the Assessment of Thinking and Observation in Multimodal Systems that use Retrieval Augmented Generation9h◆SCRIPT: Scalable Diffusion Policy with Multi-stage Training for Language-driven Physics-Based Humanoid Control9h◆Detecting Drunk Driving Using Off-the-Shelf Smartwatches9h◆Decision-Aware Quadratic ReLU Replacement for HE-Friendly Inference9h◆MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks9h◆NeuroNL2LTL: A Neurosymbolic Framework for Natural Language Translation of Linear Temporal Logic9h◆Agentic Proving for Program Verification9h◆Co-ReAct: Rubrics as Step-Level Collaborators for ReAct Agents9h◆
News/Intervention-Aware Multiscale Representation Learning from Imaging Phenomics and Perturbation Transcriptomics
arxiv
PublishedApril 29, 2026 at 4:00 AM

Intervention-Aware Multiscale Representation Learning from Imaging Phenomics and Perturbation Transcriptomics

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2604.22832v1 Announce Type: cross Abstract: Microscopy-based phenotypic profiling is scalable for drug discovery but lacks the mechanistic depth of transcriptomics, which remains costly and scarce. Existing multimodal approaches either use images to support other modalities or naively align re

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivLLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws9harxivBridging AI and Clinical Reasoning: Abductive Explanations for Alignment on Critical Symptoms9harxivCHASD: Language Increment-Calibrated Contrastive Decoding against Hallucination in LVLMs9harxivPrudent-Banker: No Extra Fees for Baseline Safety in Adversarial Bandits With and Without Delays9h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews