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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

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Interpretable Self-Supervised Learning via Representer Landmarks and Nystrom Approximation

DGX agent

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

safetyarxiv-cs-lg

2 Jun 2026

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

safetyarxiv-cs-lg

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

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

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

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

Hardware

Join the livestream to hear from our team members @karan4d and @yoniebans live from @nvidia! https://www.youtube.com/watch?v=pgQDbRMa2Eg

Nous Research is hosting a livestream featuring team members Karan and Yoni speaking from NVIDIA, likely discussing AI research, model development, or collaboration between Nous Research and NVIDIA. T

hardwarenous-research--x

Joint Agent Memory and Exploration Learning via Novelty Signals

arXiv:2606.01528v1 Announce Type: new Abstract: In open-ended environments, exploration is fundamental for autonomous agents, yet current language model agents struggle with this. Effective exploratio

Jointly Optimizing Debiased CTR and Uplift for Coupons Marketing: A Unified Causal Framework

arXiv:2602.12972v2 Announce Type: replace-cross Abstract: In online advertising, marketing interventions such as coupons introduce significant confounding bias into Click-Through Rate (CTR) prediction

safetyarxiv-cs-lg

JupiterOne launches Continuous Controls Monitoring to test security controls against live asset data

model-releasessiliconangle

Artificial intelligence risk management platform provider JupiterOne Inc. today announced the launch of JupiterOne Continuous Controls Monitoring, a new product that tests whether security and complia

K-BrowseComp: A Web Browsing Agent Benchmark Grounded in Korean Contexts

model-releasesarxiv-cs-cl

arXiv:2606.02404v1 Announce Type: new Abstract: Frontier model evaluations are shifting from foundational capabilities (e.g., instruction following and reasoning) toward compositional, agentic ones, b

KACE: Knowledge-Adaptive Context Engineering for Mathematical Reasoning

arXiv:2606.00532v1 Announce Type: new Abstract: Context engineering can improve large language models without updating their weights, but mathematical reasoning exposes a key limitation: feedback accu

researcharxiv-cs-ai

KDH-CAD: Knowledge-data hybrid CAD learning under data scarcity

arXiv:2606.01702v1 Announce Type: cross Abstract: Deep learning in computer-aided design (CAD) remains fundamentally constrained by the data scarcity challenge: authentic CAD data is difficult to coll

applicationsarxiv-cs-lg

Local Ai

Keeping sensitive data on device while cloud AI adds scale and context, @perplexity_ai @AravSrinivas demonstrates hybrid local server infere…

Perplexity AI demonstrates a hybrid approach to AI inference that combines on-device processing for sensitive data with cloud-based AI services to achieve scalability and contextual understanding. Thi

local-aiperplexity--x

KG-FairDiff: Knowledge Graph-Guided Prompt Refinement for Demographically Fair Text-to-Image Generation

arXiv:2606.01282v1 Announce Type: new Abstract: Text-to-Image (TTI) systems are now everyday infrastructure for journalism, education, advertising, and public communication, and the demographic and cu

safetyarxiv-cs-cv

KG-Guard: Graph-Based Hallucination Detection for Knowledge Base Question Answering

arXiv:2606.00328v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used for knowledge base question answering (KBQA), where answering requires selecting entities from a ques

applicationsarxiv-cs-lg

KISS: Keeping it Simple and Slotted when Learning to Communicate over Wireless

arXiv:2606.00266v1 Announce Type: cross Abstract: A long-standing challenge in distributed wireless systems is ensuring efficient and fair random channel access. Existing solutions often address speci

safetyarxiv-cs-lg

KliniskVestBERT: BERT Model Specialised to Norwegian Clinical Texts

arXiv:2606.01904v1 Announce Type: cross Abstract: The increasing application of Natural Language Processing (NLP) in healthcare demands language models specifically attuned to the complexities of clin

Knowing Isn't Understanding: Re-grounding Generative Proactivity with Epistemic and Behavioral Insight

arXiv:2602.15259v2 Announce Type: replace-cross Abstract: Generative AI agents equate understanding with resolving explicit queries, an assumption that confines interaction to what users can articulat

agentsarxiv-cs-ai

Knowledge-Informed Kernel State Reconstruction from Heterogeneous Partial Observations

arXiv:2601.22328v2 Announce Type: replace Abstract: Real-world scientific systems are rarely observed through complete, regularly sampled state trajectories. Instead, measurements are often partial, n

applicationsarxiv-cs-lg

Knowledge-Intensive Video Generation

arXiv:2606.01285v1 Announce Type: cross Abstract: Text-to-video generation has advanced rapidly in visual quality, but remains under-evaluated for factuality and practical usefulness. We introduce kno

KnowledgeBerg: Evaluating Systematic Knowledge Coverage and Compositional Reasoning in Large Language Models

arXiv:2604.17621v2 Announce Type: replace Abstract: Many real-world questions appear deceptively simple yet implicitly demand two capabilities: (i) systematic coverage of a bounded knowledge universe