<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Yann LeCun | Ravid Shwartz-Ziv</title><link>https://www.ravid-shwartz-ziv.com/author/yann-lecun/</link><atom:link href="https://www.ravid-shwartz-ziv.com/author/yann-lecun/index.xml" rel="self" type="application/rss+xml"/><description>Yann LeCun</description><generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><lastBuildDate>Sat, 01 Aug 2026 00:00:00 +0000</lastBuildDate><image><url>https://www.ravid-shwartz-ziv.com/img/ravid-shwartz-ziv-social-v2.png</url><title>Yann LeCun</title><link>https://www.ravid-shwartz-ziv.com/author/yann-lecun/</link></image><item><title>HP-JEPA: Hierarchical Partitioning for Multi-Resolution Graph Joint-Embedding Predictive Learning</title><link>https://www.ravid-shwartz-ziv.com/publication/hp-jepa/</link><pubDate>Sat, 01 Aug 2026 00:00:00 +0000</pubDate><guid>https://www.ravid-shwartz-ziv.com/publication/hp-jepa/</guid><description/></item><item><title>S-JEPA: Soft Clustering Anchors for Self-Supervised Speech Representation Learning</title><link>https://www.ravid-shwartz-ziv.com/publication/s-jepa/</link><pubDate>Wed, 17 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.ravid-shwartz-ziv.com/publication/s-jepa/</guid><description>&lt;p>Related work: the earlier
&lt;a href="https://www.ravid-shwartz-ziv.com/publication/gmm-anchored-jepa/">GMM-Anchored JEPA study&lt;/a> uses fixed soft acoustic clusters to support speech representation learning.&lt;/p></description></item><item><title>On Training in Imagination</title><link>https://www.ravid-shwartz-ziv.com/publication/training-in-imagination/</link><pubDate>Thu, 07 May 2026 12:51:32 +0000</pubDate><guid>https://www.ravid-shwartz-ziv.com/publication/training-in-imagination/</guid><description/></item><item><title>AI Must Embrace Specialization via Superhuman Adaptable Intelligence</title><link>https://www.ravid-shwartz-ziv.com/publication/superhuman-adaptable-intelligence/</link><pubDate>Fri, 27 Feb 2026 03:26:21 +0000</pubDate><guid>https://www.ravid-shwartz-ziv.com/publication/superhuman-adaptable-intelligence/</guid><description/></item><item><title>Soft Clustering Anchors for Self-Supervised Speech Representation Learning in Joint Embedding Prediction Architectures</title><link>https://www.ravid-shwartz-ziv.com/publication/gmm-anchored-jepa/</link><pubDate>Fri, 30 Jan 2026 20:51:37 +0000</pubDate><guid>https://www.ravid-shwartz-ziv.com/publication/gmm-anchored-jepa/</guid><description>&lt;p>Related work:
&lt;a href="https://www.ravid-shwartz-ziv.com/publication/s-jepa/">S-JEPA&lt;/a> is the later speech study with a continuous two-phase training procedure and online clustering targets.&lt;/p></description></item><item><title>JEPA as a Neural Tokenizer: Learning Robust Speech Representations with Density Adaptive Attention</title><link>https://www.ravid-shwartz-ziv.com/publication/jepa-neural-tokenizer/</link><pubDate>Mon, 08 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.ravid-shwartz-ziv.com/publication/jepa-neural-tokenizer/</guid><description/></item><item><title>Attention Sinks and Compression Valleys in LLMs are Two Sides of the Same Coin</title><link>https://www.ravid-shwartz-ziv.com/publication/attention-sinks-compression-valleys/</link><pubDate>Tue, 07 Oct 2025 21:27:24 +0000</pubDate><guid>https://www.ravid-shwartz-ziv.com/publication/attention-sinks-compression-valleys/</guid><description/></item><item><title>Layer by Layer: Uncovering Hidden Representations in Language Models</title><link>https://www.ravid-shwartz-ziv.com/publication/layer-by-layer/</link><pubDate>Sun, 13 Jul 2025 00:00:00 +0000</pubDate><guid>https://www.ravid-shwartz-ziv.com/publication/layer-by-layer/</guid><description/></item><item><title>From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning</title><link>https://www.ravid-shwartz-ziv.com/publication/tokens-to-thoughts/</link><pubDate>Wed, 21 May 2025 16:29:00 +0000</pubDate><guid>https://www.ravid-shwartz-ziv.com/publication/tokens-to-thoughts/</guid><description/></item><item><title>Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation</title><link>https://www.ravid-shwartz-ziv.com/publication/rate-in/</link><pubDate>Tue, 10 Dec 2024 04:03:46 +0000</pubDate><guid>https://www.ravid-shwartz-ziv.com/publication/rate-in/</guid><description/></item><item><title>Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning</title><link>https://www.ravid-shwartz-ziv.com/publication/seqvcr/</link><pubDate>Mon, 04 Nov 2024 00:00:00 +0000</pubDate><guid>https://www.ravid-shwartz-ziv.com/publication/seqvcr/</guid><description/></item><item><title>LiveBench: A Challenging, Contamination-Limited LLM Benchmark</title><link>https://www.ravid-shwartz-ziv.com/publication/livebanch/</link><pubDate>Thu, 27 Jun 2024 00:00:00 +0000</pubDate><guid>https://www.ravid-shwartz-ziv.com/publication/livebanch/</guid><description/></item><item><title>To Compress or Not to Compress--Self-Supervised Learning and Information Theory: A Review</title><link>https://www.ravid-shwartz-ziv.com/publication/compress/</link><pubDate>Wed, 19 Apr 2023 00:00:00 +0000</pubDate><guid>https://www.ravid-shwartz-ziv.com/publication/compress/</guid><description/></item><item><title>What Do We Maximize in Self-Supervised Learning?</title><link>https://www.ravid-shwartz-ziv.com/publication/ssl/</link><pubDate>Mon, 01 Aug 2022 00:00:00 +0000</pubDate><guid>https://www.ravid-shwartz-ziv.com/publication/ssl/</guid><description/></item><item><title>Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors</title><link>https://www.ravid-shwartz-ziv.com/publication/learned_prior/</link><pubDate>Sun, 01 May 2022 00:00:00 +0000</pubDate><guid>https://www.ravid-shwartz-ziv.com/publication/learned_prior/</guid><description/></item></channel></rss>