All entries

Initialization is Half the Battle: Generating Diverse Images from a Guidance Potential Posterior

arXiv:2606.02453v1 Announce Type: cross Abstract: Despite the remarkable fidelity of generative models, they frequently suffer from mode collapse. Existing strategies for enhancing diversity predomina

researcharxiv-cs-ai

Inner Product Aware Quantization: Provably Fast, Accurate, and Adaptive Algorithms

DGX agent

arXiv:2606.00289v1 Announce Type: new Abstract: Quantization is a fundamental tool used to compress datasets, neural network weights, and memory usage in a range of computational tasks. Many downstrea

researcharxiv-cs-lg

2 Jun 2026

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning

model-releasesarxiv-cs-ai

arXiv:2509.12263v3 Announce Type: replace Abstract: Large multimodal models (LMMs) encode physical laws observed during training, such as momentum conservation, as parametric knowledge. It allows LMMs

Tools

Inside AskData: How We Slashed Token Consumption by Over 90%

AskData implemented optimization techniques to dramatically reduce token consumption in their AI system by over 90%, likely through strategies such as prompt engineering, caching, retrieval optimizati

toolspinecone

InsightVQA: High-Dimensional Emotion-Cognitive Visual Question Answering Benchmark

model-releasesarxiv-cs-cv

arXiv:2606.02171v1 Announce Type: new Abstract: Visual emotion understanding requires models not only to recognize emotional states, but also to why they arise and perform higher-level cognitive reaso

InstructSAM: Segment Any Instance with Any Instructions

model-releasesarxiv-cs-cv

arXiv:2605.26102v2 Announce Type: replace Abstract: In this paper, we introduce InstructSAM, a unified and streamlined framework designed for multi-instance segmentation under arbitrary instructions.

Applications

Intel introduces Xeon 6+ server processors, previews upcoming graphics cards

Intel Corp. today debuted a line of central processing units based on its latest manufacturing process and shared new details about its next-generation graphics cards. Both product families are geared

applicationssiliconangle

Interaction-Centered Intelligence: Toward Interaction as the Primary Unit of Analysis in Co-Creative AI and Human-AI Systems

arXiv:2606.00807v1 Announce Type: new Abstract: Traditional artificial intelligence has largely conceptualized intelligence as isolated computation occurring within bounded agents. Across classical AI

agentsarxiv-cs-ai

Interaction-Limited Safe Continuous-Time RL for Dynamical Medical Treatment

arXiv:2606.01051v1 Announce Type: new Abstract: Dynamic medical treatment requires deciding treatment intensity and intervention timing, while patient states evolve continuously and adverse events may

Intercepting the Future: Latent-Space Predictive World Model for Dynamic VLA Manipulation

arXiv:2606.02486v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models generalize across static manipulation but fail when objects move during task execution. They map the current observa

researcharxiv-cs-ro

Internal memo: Meta is scaling back elements of its employee tracking tool, launched in April to help train its AI models, after staff raised concerns (Jyoti Mann/The Information)

Jyoti Mann / The Information: Internal memo: Meta is scaling back elements of its employee tracking tool, launched in April to help train its AI models, after staff raised concerns — Meta Platforms is

industrytechmeme

Internalize the Temperature: On-Policy Self-Distillation as Policy Reheater for Reinforcement Learning

arXiv:2606.00755v1 Announce Type: new Abstract: Reinforcement learning from verifiable rewards improves the reasoning ability of large language models, but often suffers from entropy collapse, in whic

safetyarxiv-cs-cl

Interpretability in Deep Time Series Models Demands Semantic Alignment

arXiv:2602.02239v2 Announce Type: replace Abstract: Deep time series models continue to improve predictive performance, yet their deployment remains limited by their black-box nature. In response, exi

Interpretable Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification using Multi-Omics Data

arXiv:2503.22939v4 Announce Type: replace Abstract: The integration of heterogeneous multi-omics datasets at a systems level remains a central challenge for developing analytical and computational mod

Interpretable Modeling of Driver Attention Shifts with a Vision--Language Model

arXiv:2508.05852v2 Announce Type: replace Abstract: Driver gaze is commonly modeled as a spatial heatmap, but heatmaps alone are difficult for humans to interpret because they do not explain which roa

safetyarxiv-cs-cv

Interpretable Multimodal Gesture Recognition for Drone and Mobile Robot Teleoperation via Log-Likelihood Ratio Fusion

arXiv:2602.23694v3 Announce Type: replace-cross Abstract: Human operators are still frequently exposed to hazardous environments such as disaster zones and industrial facilities, where intuitive and r

Interpretable Policy Distillation for Power Grid Topology Control

arXiv:2606.00561v1 Announce Type: cross Abstract: Deep reinforcement learning (RL) offers a promising route to real-time power grid operation, yet large neural policies are costly to evaluate, hard to

Interpretable Self-Supervised Learning via Representer Landmarks and Nystrom Approximation

arXiv:2509.24467v3 Announce Type: replace Abstract: Self-supervised learning (SSL) learns representations from massive unlabeled data, yet the resulting models typically operate as black boxes, necess

Applications

Interpreting FCDNNs via RG on Exponential Family

arXiv:2606.00157v1 Announce Type: cross Abstract: We consider establishing the interpretability theory of deep learning through constructing a corresponding relationship between the renormalization gr

applicationsarxiv-cs-ai

Interpreto: An Explainability Library for Transformers

arXiv:2512.09730v3 Announce Type: replace Abstract: Interpreto is an open-source Python library for interpreting HuggingFace language models, from early BERT variants to LLMs. It provides two compleme

researcharxiv-cs-cl

Interventional Processes for Causal Uncertainty Quantification

arXiv:2410.14483v3 Announce Type: replace-cross Abstract: Reliable uncertainty quantification for causal effects is crucial in high-stakes applications, but remains challenging when the target is an e

IntraShuffler: A Privacy Preserving Framework for Heterogeneous DP Federated Learning

model-releasesarxiv-cs-lg

arXiv:2606.02563v1 Announce Type: new Abstract: Heterogeneous Differential Privacy (HDP) in Federated Learning (FL) allows clients to select individual privacy budgets (arepsilon_i) according to insti

IntraStyler: Intra-Domain Style Synthesis for Cross-Modality MRI Domain Adaptation

arXiv:2601.00212v2 Announce Type: replace Abstract: Segmentation of vestibular schwannoma and cochlea from T2 MRI is clinically important yet annotation-intensive. Domain adaptation (DA) has been wide

safetyarxiv-cs-cv

Introducing Cross-Engine ABAC

Databricks introduces Cross-Engine Attribute-Based Access Control (ABAC), a feature that extends fine-grained access control policies across multiple query engines and data processing platforms within

industrydatabricks

Introducing Devin Desktop. Manage fleets of local and cloud agents from one surface. Plan, delegate, review, and ship without leaving your e…

Devin Desktop is a unified management interface from Cognition AI that enables users to coordinate multiple AI agents operating across local and cloud environments. The platform streamlines workflows

agentscognition-ai--x

Introducing Devin Desktop: the next generation of Windsurf Manage fleets of local and cloud agents from one surface Support for any ACP-comp…

Introducing Devin Desktop: the next generation of Windsurf Manage fleets of local and cloud agents from one surface Support for any ACP-compatible agent With a full IDE for when you need to jump into

agentswindsurf--x

Hardware

Introducing workspaces for Lambda Cloud

Lambda workspaces help teams organize cloud resources, control access, and separate dev, staging, and production in shared GPU environments. A junior researcher kills a production training run. A cont

hardwarelambda-labs

Introduction to Graph Neural Networks for Machine Learning Engineers

arXiv:2412.19419v2 Announce Type: replace-cross Abstract: Graph neural networks are deep neural networks designed for graphs with attributes attached to nodes or edges. The number of research papers i

researcharxiv-cs-ai

Invascal: Inverse-Vacuity Self-Calibration for Uncertainty-Aware LiDAR Range-View Semantic Segmentation

arXiv:2606.00069v1 Announce Type: new Abstract: LiDAR semantic segmentation is a core perception capability for autonomous vehicles and mobile robots. However, safe operation also depends on knowing w

agentsarxiv-cs-ro

Inverse Depth Scaling From Most Layers Being Similar

arXiv:2602.05970v2 Announce Type: replace-cross Abstract: Neural scaling laws relate loss to model size in large language models (LLMs), yet depth and width may contribute to performance differently,

Investigating and Alleviating Harm Amplification in LLM Interactions

model-releasesarxiv-cs-cl

arXiv:2606.02423v1 Announce Type: new Abstract: Large language models (LLMs) can serve as helpful assistants, yet they can equally function as harm amplifiers that enable malicious users to achieve ha

Iryna could have been your daughter. Henry could have been your son.

This post likely presents a humanitarian appeal contrasting named individuals (Iryna and Henry) with the reader, suggesting empathy for victims or affected people in a conflict or crisis situation. Wi

Is Zero-Shot Super-Resolution Possible in Operator Learning?

arXiv:2606.00296v1 Announce Type: cross Abstract: Neural operators are often reported to exhibit zero-shot super-resolution, a phenomenon in which a model trained on coarse grids produces accurate pre

Isolating LLM Lexical Bias: A Curation-Free Triangulated Metric for Preference-Stage Learning

arXiv:2606.00334v1 Announce Type: cross Abstract: Various language domains have undergone remarkable changes in recent years; these shifts are largely attributed to the advent of Large Language Models

Israeli data security startup Cyera raised 300M at a 12B valuation, after raising 400M at a 9B valuation in January (Meir Orbach/CTech)

Meir Orbach / CTech: Israeli data security startup Cyera raised 300M at a 12B valuation, after raising 400M at a 9B valuation in January — The Israeli data security company raised 400 million at a 9 b

industrytechmeme

IstGPT: LLM-based Anomaly Detection for Spatial-Temporal Graph in Industrial Systems

arXiv:2606.01691v1 Announce Type: cross Abstract: Industrial Internet systems face increasing threats from sophisticated industrial control system (ICS) attacks, resulting in critical safety incidents

It does what it says on the tin: safe synthetic data from coarsened margins

arXiv:2606.02101v1 Announce Type: cross Abstract: This paper proposes a method of creating synthetic data (SD) that will have two important advantages for the user compared to other methods currently

Applications

It is difficult to know how good MAI-Thinking-1 is from the scores alone (like weirdly low GPQA & Terminal Bench 2.0) But Microsoft makes it…

applicationsethan-mollick--x

It is difficult to know how good MAI-Thinking-1 is from the scores alone (like weirdly low GPQA & Terminal Bench 2.0) But Microsoft makes it really hard to try its models upon release (a general issue

It is this or death

It is this or death Enough is enough - a deep line needs to be drawn in the sand. Talk is weak. Britain needs to say no more, and mean it. A Restore Britain Government, with the British people's appro

Iterated Population Based Training with Task-Agnostic Restarts

arXiv:2511.09190v2 Announce Type: replace Abstract: Hyperparameter Optimization (HPO) can lift the burden of tuning hyperparameters (HPs) of neural networks. HPO algorithms from the Population Based T

Iteris: Agentic Research Loops for Computational Mathematics

arXiv:2606.02484v1 Announce Type: new Abstract: Recent advances in large language models and agentic AI systems have enabled significant progress in mathematical discovery, from solving competition pr

agentsarxiv-cs-ai

It’s over

It’s over Britain had a moment of silence for George Floyd. Our politicians kneeled en masse to show their outrage at his killing. 'I can't breathe' became a slogan. George Floyd died on the other sid

@itsalfredw @Konstantine Apple: https://seq.vc/1ry Spotify: https://seq.vc/xid YouTube: https://seq.vc/dfa

This appears to be a music release or project announcement shared by Sonya Huang on X (formerly Twitter), featuring artist @itsalfredw and @Konstantine with links to the track on Apple Music, Spotify,

industrysonya-huang--x

'I've Seen How This Goes': Characterizing Diversity via Progressive Conditional Surprise

model-releasesarxiv-cs-ai

arXiv:2606.01811v1 Announce Type: cross Abstract: Measuring the diversity of creative outputs is central to evaluating post-training mode collapse, comparing decoding strategies, and quantifying creat

Jailbreaking Multimodal Large Language Models using Multi-Clip Video

arXiv:2606.02111v1 Announce Type: cross Abstract: As multimodal large language models (MLLMs) have advanced to process video inputs, concerns have emerged about their potential for malicious misuse. P

Je me suis longtemps passionné pour la psychologie, et une période m'obsède plus que toutes les autres. L'après-guerre. Le moment où des che…

Je me suis longtemps passionné pour la psychologie, et une période m'obsède plus que toutes les autres. L'après-guerre. Le moment où des chercheurs se sont posé la question la plus dérangeante du sièc

JenBridge: Adaptive Long-Form Video Soundtracking across Scene Transitions

model-releasesarxiv-cs-ai

arXiv:2606.01703v1 Announce Type: cross Abstract: We address the challenge of generating high-fidelity, long-form soundtracks that remain coherent across scene transitions. Existing AI music systems a

@jerryjliu0 — Founder & CEO of @llama_index — on Venture with Grace, sharing why data is at the center of the agentic AI boom. AI agents are…

@jerryjliu0 — Founder & CEO of @llama_index — on Venture with Grace, sharing why data is at the center of the agentic AI boom. AI agents are proliferating rapidly — and with them comes an explosion of

agentsjerry-liu--x