A Polynomial Number of Random Points Does Not Determine the Volume of a Convex Body. - Ronen Eldan (Discret. Comput. Geom., 2011)

From trees to seeds: on the inference of the seed from large trees in the uniform attachment model. - Sébastien Bubeck; Ronen Eldan; Elchanan Mossel; Miklós Z. Rácz (CoRR, 2014)

The entropic barrier: a simple and optimal universal self-concordant barrier. - Sébastien Bubeck; Ronen Eldan (COLT, 2015)

Talagrand's Convolution Conjecture on Gaussian Space. - Ronen Eldan; James R. Lee (FOCS, 2015)

Finite-Time Analysis of Projected Langevin Monte Carlo. - Sébastien Bubeck; Ronen Eldan; Joseph Lehec (NIPS, 2015)

Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff. - Ofer Dekel; Ronen Eldan; Tomer Koren (NIPS, 2015)

Multi-scale exploration of convex functions and bandit convex optimization. - Sébastien Bubeck; Ronen Eldan (COLT, 2016)

The Power of Depth for Feedforward Neural Networks. - Ronen Eldan; Ohad Shamir (COLT, 2016)

Information and dimensionality of anisotropic random geometric graphs. - Ronen Eldan; Dan Mikulincer (CoRR, 2016)

Testing for high-dimensional geometry in random graphs. - Sébastien Bubeck; Jian Ding; Ronen Eldan; Miklós Z. Rácz (Random Struct. Algorithms, 2016)

Exponential random graphs behave like mixtures of stochastic block models. - Ronen Eldan; Renan Gross (CoRR, 2017)

Braess's paradox for the spectral gap in random graphs and delocalization of eigenvectors. - Ronen Eldan; Miklós Z. Rácz; Tselil Schramm (Random Struct. Algorithms, 2017)

Sampling from a Log-Concave Distribution with Projected Langevin Monte Carlo. - Sébastien Bubeck; Ronen Eldan; Joseph Lehec (Discret. Comput. Geom., 2018)

Efficient algorithms for discrepancy minimization in convex sets. - Ronen Eldan; Mohit Singh (Random Struct. Algorithms, 2018)

Depth Separations in Neural Networks: What is Actually Being Separated? - Itay Safran; Ronen Eldan; Ohad Shamir (COLT, 2019)

Stability of the Shannon-Stam inequality via the Föllmer process. - Ronen Eldan; Dan Mikulincer (CoRR, 2019)

Krivine diffusions attain the Goemans-Williamson approximation ratio. - Ronen Eldan; Assaf Naor (CoRR, 2019)

Stability of Talagrand's influence inequality. - Ronen Eldan; Renan Gross (CoRR, 2019)

The Entropic Barrier: Exponential Families, Log-Concave Geometry, and Self-Concordance. - Sébastien Bubeck; Ronen Eldan (Math. Oper. Res., 2019)

Network size and size of the weights in memorization with two-layers neural networks. - Sébastien Bubeck; Ronen Eldan; Yin Tat Lee; Dan Mikulincer (NeurIPS, 2020)

Concentration on the Boolean hypercube via pathwise stochastic analysis. - Ronen Eldan; Renan Gross (STOC, 2020)

Network size and weights size for memorization with two-layers neural networks. - Sébastien Bubeck; Ronen Eldan; Yin Tat Lee; Dan Mikulincer (CoRR, 2020)

Reduction From Non-Unique Games To Boolean Unique Games. - Ronen Eldan; Dana Moshkovitz (Electron. Colloquium Comput. Complex., 2020)

Non-asymptotic approximations of neural networks by Gaussian processes. - Ronen Eldan; Dan Mikulincer; Tselil Schramm (COLT, 2021)

Kernel-based Methods for Bandit Convex Optimization. - Sébastien Bubeck; Ronen Eldan; Yin Tat Lee (J. ACM, 2021)

Localization Schemes: A Framework for Proving Mixing Bounds for Markov Chains (extended abstract). - Yuansi Chen; Ronen Eldan (FOCS, 2022)

Localization Schemes: A Framework for Proving Mixing Bounds for Markov Chains. - Yuansi Chen; Ronen Eldan (CoRR, 2022)

Isoperimetric Inequalities Made Simpler. - Ronen Eldan; Guy Kindler; Noam Lifshitz; Dor Minzer (CoRR, 2022)

Unveiling Transformers with LEGO: a synthetic reasoning task. - Yi Zhang; Arturs Backurs; Sébastien Bubeck; Ronen Eldan; Suriya Gunasekar; Tal Wagner (CoRR, 2022)

Hit-and-run mixing via localization schemes. - Yuansi Chen; Ronen Eldan (CoRR, 2022)

Community detection and percolation of information in a geometric setting. - Ronen Eldan; Dan Mikulincer; Hester Pieters (Comb. Probab. Comput., 2022)

Second-Order Bounds on Correlations Between Increasing Families. - Ronen Eldan (Comb., 2022)

Noise Stability on the Boolean Hypercube via a Renormalized Brownian Motion. - Ronen Eldan; Dan Mikulincer; Prasad Raghavendra (STOC, 2023)

An Optimal "It Ain't Over Till It's Over" Theorem. - Ronen Eldan; Avi Wigderson; Pei Wu (STOC, 2023)

Sparks of Artificial General Intelligence: Early experiments with GPT-4. - Sébastien Bubeck; Varun Chandrasekaran; Ronen Eldan; Johannes Gehrke; Eric Horvitz; Ece Kamar; Peter Lee; Yin Tat Lee; Yuanzhi Li; Scott M. Lundberg; Harsha Nori; Hamid Palangi; et al. (CoRR, 2023)

TinyStories: How Small Can Language Models Be and Still Speak Coherent English? - Ronen Eldan; Yuanzhi Li (CoRR, 2023)

Textbooks Are All You Need. - Suriya Gunasekar; Yi Zhang 001; Jyoti Aneja; Caio César Teodoro Mendes; Allie Del Giorno; Sivakanth Gopi; Mojan Javaheripi; Piero Kauffmann; Gustavo de Rosa; Olli Saarikivi; Adil Salim; Shital Shah; et al. (CoRR, 2023)

Textbooks Are All You Need II: phi-1.5 technical report. - Yuanzhi Li; Sébastien Bubeck; Ronen Eldan; Allie Del Giorno; Suriya Gunasekar; Yin Tat Lee (CoRR, 2023)

Who's Harry Potter? Approximate Unlearning in LLMs. - Ronen Eldan; Mark Russinovich (CoRR, 2023)

Fast relaxation of the random field Ising dynamics. - Ahmed El Alaoui; Ronen Eldan; Reza Gheissari; Arianna Piana (CoRR, 2023)

Positional Description Matters for Transformers Arithmetic. - Ruoqi Shen; Sébastien Bubeck; Ronen Eldan; Yin Tat Lee; Yuanzhi Li; Yi Zhang (CoRR, 2023)

TinyGSM: achieving >80% on GSM8k with small language models. - Bingbin Liu; Sébastien Bubeck; Ronen Eldan; Janardhan Kulkarni; Yuanzhi Li; Anh Nguyen; Rachel Ward; Yi Zhang (CoRR, 2023)

Great, Now Write an Article About That: The Crescendo Multi-Turn LLM Jailbreak Attack. - Mark Russinovich; Ahmed Salem 001; Ronen Eldan (CoRR, 2024)

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. - Marah I Abdin; Sam Ade Jacobs; Ammar Ahmad Awan; Jyoti Aneja; Ahmed Awadallah 001; Hany Awadalla; Nguyen Bach; Amit Bahree; Arash Bakhtiari; Harkirat S. Behl; Alon Benhaim; Misha Bilenko; et al. (CoRR, 2024)

Phi-4 Technical Report. - Marah I Abdin; Jyoti Aneja; Harkirat S. Behl; Sébastien Bubeck; Ronen Eldan; Suriya Gunasekar; Michael Harrison; Russell J. Hewett; Mojan Javaheripi; Piero Kauffmann; James R. Lee; Yin Tat Lee; et al. (CoRR, 2024)