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2020 – today
- 2024
[i35]Mark Russinovich, Ahmed Salem, Ronen Eldan:
Great, Now Write an Article About That: The Crescendo Multi-Turn LLM Jailbreak Attack. CoRR abs/2404.01833 (2024)- [i34]Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat S. Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Amit Garg, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Eric Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olatunji Ruwase, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Masahiro Tanaka, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yue Zhang, Yunan Zhang, Xiren Zhou:
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. CoRR abs/2404.14219 (2024) - 2023
- [c15]Ronen Eldan, Dan Mikulincer
, Prasad Raghavendra:
Noise Stability on the Boolean Hypercube via a Renormalized Brownian Motion. STOC 2023: 661-671 - [c14]Ronen Eldan, Avi Wigderson, Pei Wu:
An Optimal "It Ain't Over Till It's Over" Theorem. STOC 2023: 853-866 - [i33]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, Marco Túlio Ribeiro, Yi Zhang:
Sparks of Artificial General Intelligence: Early experiments with GPT-4. CoRR abs/2303.12712 (2023) - [i32]Ronen Eldan, Yuanzhi Li:
TinyStories: How Small Can Language Models Be and Still Speak Coherent English? CoRR abs/2305.07759 (2023) - [i31]Suriya Gunasekar, Yi Zhang, Jyoti Aneja, Caio César Teodoro Mendes, Allie Del Giorno, Sivakanth Gopi, Mojan Javaheripi, Piero Kauffmann, Gustavo de Rosa, Olli Saarikivi, Adil Salim, Shital Shah, Harkirat Singh Behl, Xin Wang, Sébastien Bubeck, Ronen Eldan, Adam Tauman Kalai, Yin Tat Lee, Yuanzhi Li:
Textbooks Are All You Need. CoRR abs/2306.11644 (2023) - [i30]Yuanzhi Li, Sébastien Bubeck, Ronen Eldan, Allie Del Giorno, Suriya Gunasekar, Yin Tat Lee:
Textbooks Are All You Need II: phi-1.5 technical report. CoRR abs/2309.05463 (2023) - [i29]Ronen Eldan, Mark Russinovich:
Who's Harry Potter? Approximate Unlearning in LLMs. CoRR abs/2310.02238 (2023) - [i28]Ahmed El Alaoui, Ronen Eldan, Reza Gheissari, Arianna Piana:
Fast relaxation of the random field Ising dynamics. CoRR abs/2311.06171 (2023) - [i27]Ruoqi Shen, Sébastien Bubeck, Ronen Eldan, Yin Tat Lee, Yuanzhi Li, Yi Zhang:
Positional Description Matters for Transformers Arithmetic. CoRR abs/2311.14737 (2023) - [i26]Bingbin Liu, Sébastien Bubeck, Ronen Eldan, Janardhan Kulkarni, Yuanzhi Li, Anh Nguyen, Rachel Ward, Yi Zhang:
TinyGSM: achieving >80% on GSM8k with small language models. CoRR abs/2312.09241 (2023) - 2022
- [j9]Ronen Eldan:
Second-Order Bounds on Correlations Between Increasing Families. Comb. 42(6): 1099-1118 (2022) - [j8]Ronen Eldan, Dan Mikulincer, Hester Pieters:
Community detection and percolation of information in a geometric setting. Comb. Probab. Comput. 31(6): 1048-1069 (2022) - [c13]Yuansi Chen, Ronen Eldan:
Localization Schemes: A Framework for Proving Mixing Bounds for Markov Chains (extended abstract). FOCS 2022: 110-122 - [c12]Ronen Eldan, Dana Moshkovitz:
Reduction from Non-Unique Games to Boolean Unique Games. ITCS 2022: 64:1-64:25 - [i25]Yuansi Chen, Ronen Eldan:
Localization Schemes: A Framework for Proving Mixing Bounds for Markov Chains. CoRR abs/2203.04163 (2022) - [i24]Ronen Eldan, Guy Kindler, Noam Lifshitz, Dor Minzer:
Isoperimetric Inequalities Made Simpler. CoRR abs/2204.06686 (2022) - [i23]Yi Zhang, Arturs Backurs, Sébastien Bubeck, Ronen Eldan, Suriya Gunasekar, Tal Wagner:
Unveiling Transformers with LEGO: a synthetic reasoning task. CoRR abs/2206.04301 (2022) - [i22]Ronen Eldan, Avi Wigderson, Pei Wu:
An Optimal "It Ain't Over Till It's Over" Theorem. CoRR abs/2208.03450 (2022) - [i21]Ronen Eldan, Dan Mikulincer, Prasad Raghavendra:
Noise stability on the Boolean hypercube via a renormalized Brownian motion. CoRR abs/2208.06508 (2022) - [i20]Yuansi Chen, Ronen Eldan:
Hit-and-run mixing via localization schemes. CoRR abs/2212.00297 (2022) - 2021
- [j7]Sébastien Bubeck, Ronen Eldan, Yin Tat Lee:
Kernel-based Methods for Bandit Convex Optimization. J. ACM 68(4): 25:1-25:35 (2021) - [c11]Ronen Eldan, Dan Mikulincer, Tselil Schramm:
Non-asymptotic approximations of neural networks by Gaussian processes. COLT 2021: 1754-1775 - [i19]Ronen Eldan, Dan Mikulincer, Tselil Schramm:
Non-asymptotic approximations of neural networks by Gaussian processes. CoRR abs/2102.08668 (2021) - 2020
- [c10]Sébastien Bubeck, Ronen Eldan, Yin Tat Lee, Dan Mikulincer:
Network size and size of the weights in memorization with two-layers neural networks. NeurIPS 2020 - [c9]Ronen Eldan, Renan Gross:
Concentration on the Boolean hypercube via pathwise stochastic analysis. STOC 2020: 208-221 - [i18]Sébastien Bubeck, Ronen Eldan, Yin Tat Lee, Dan Mikulincer:
Network size and weights size for memorization with two-layers neural networks. CoRR abs/2006.02855 (2020) - [i17]Ronen Eldan, Dana Moshkovitz:
Reduction From Non-Unique Games To Boolean Unique Games. CoRR abs/2006.13073 (2020) - [i16]Ronen Eldan, Dan Mikulincer, Hester Pieters:
Community detection and percolation of information in a geometric setting. CoRR abs/2006.15574 (2020) - [i15]Ronen Eldan, Dana Moshkovitz:
Reduction From Non-Unique Games To Boolean Unique Games. Electron. Colloquium Comput. Complex. TR20 (2020)
2010 – 2019
- 2019
- [j6]Sébastien Bubeck, Ronen Eldan:
The Entropic Barrier: Exponential Families, Log-Concave Geometry, and Self-Concordance. Math. Oper. Res. 44(1): 264-276 (2019) - [c8]Itay Safran, Ronen Eldan, Ohad Shamir:
Depth Separations in Neural Networks: What is Actually Being Separated? COLT 2019: 2664-2666 - [i14]Ronen Eldan, Dan Mikulincer:
Stability of the Shannon-Stam inequality via the Föllmer process. CoRR abs/1903.07140 (2019) - [i13]Itay Safran, Ronen Eldan, Ohad Shamir:
Depth Separations in Neural Networks: What is Actually Being Separated? CoRR abs/1904.06984 (2019) - [i12]Ronen Eldan, Assaf Naor:
Krivine diffusions attain the Goemans-Williamson approximation ratio. CoRR abs/1906.10615 (2019) - [i11]Ronen Eldan, Renan Gross:
Stability of Talagrand's influence inequality. CoRR abs/1909.12067 (2019) - 2018
- [j5]Sébastien Bubeck, Ronen Eldan, Joseph Lehec:
Sampling from a Log-Concave Distribution with Projected Langevin Monte Carlo. Discret. Comput. Geom. 59(4): 757-783 (2018) - [j4]Ronen Eldan, Mohit Singh:
Efficient algorithms for discrepancy minimization in convex sets. Random Struct. Algorithms 53(2): 289-307 (2018) - 2017
- [j3]Ronen Eldan, Miklós Z. Rácz, Tselil Schramm:
Braess's paradox for the spectral gap in random graphs and delocalization of eigenvectors. Random Struct. Algorithms 50(4): 584-611 (2017) - [c7]Sébastien Bubeck, Yin Tat Lee, Ronen Eldan:
Kernel-based methods for bandit convex optimization. STOC 2017: 72-85 - [i10]Ronen Eldan, Renan Gross:
Exponential random graphs behave like mixtures of stochastic block models. CoRR abs/1707.01227 (2017) - 2016
- [j2]Sébastien Bubeck, Jian Ding, Ronen Eldan, Miklós Z. Rácz:
Testing for high-dimensional geometry in random graphs. Random Struct. Algorithms 49(3): 503-532 (2016) - [c6]Sébastien Bubeck, Ronen Eldan:
Multi-scale exploration of convex functions and bandit convex optimization. COLT 2016: 583-589 - [c5]Ronen Eldan, Ohad Shamir:
The Power of Depth for Feedforward Neural Networks. COLT 2016: 907-940 - [i9]Sébastien Bubeck, Ronen Eldan, Yin Tat Lee:
Kernel-based methods for bandit convex optimization. CoRR abs/1607.03084 (2016) - [i8]Ronen Eldan, Dan Mikulincer:
Information and dimensionality of anisotropic random geometric graphs. CoRR abs/1609.02490 (2016) - 2015
- [c4]Sébastien Bubeck, Ronen Eldan:
The entropic barrier: a simple and optimal universal self-concordant barrier. COLT 2015: 279 - [c3]Ronen Eldan, James R. Lee:
Talagrand's Convolution Conjecture on Gaussian Space. FOCS 2015: 1395-1408 - [c2]Sébastien Bubeck, Ronen Eldan, Joseph Lehec:
Finite-Time Analysis of Projected Langevin Monte Carlo. NIPS 2015: 1243-1251 - [c1]Ofer Dekel, Ronen Eldan, Tomer Koren:
Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff. NIPS 2015: 2926-2934 - [i7]Sébastien Bubeck, Ronen Eldan, Joseph Lehec:
Sampling from a log-concave distribution with Projected Langevin Monte Carlo. CoRR abs/1507.02564 (2015) - [i6]Sébastien Bubeck, Ronen Eldan:
Multi-scale exploration of convex functions and bandit convex optimization. CoRR abs/1507.06580 (2015) - [i5]Ronen Eldan, Ohad Shamir:
The Power of Depth for Feedforward Neural Networks. CoRR abs/1512.03965 (2015) - 2014
- [i4]Ronen Eldan, Mohit Singh:
Efficient Algorithms for Discrepancy Minimization in Convex Sets. CoRR abs/1409.2913 (2014) - [i3]Sébastien Bubeck, Ronen Eldan, Elchanan Mossel, Miklós Z. Rácz:
From trees to seeds: on the inference of the seed from large trees in the uniform attachment model. CoRR abs/1409.7685 (2014) - [i2]Sébastien Bubeck, Jian Ding, Ronen Eldan, Miklós Z. Rácz:
Testing for high-dimensional geometry in random graphs. CoRR abs/1411.5713 (2014) - [i1]Sébastien Bubeck, Ronen Eldan:
The entropic barrier: a simple and optimal universal self-concordant barrier. CoRR abs/1412.1587 (2014) - 2011
- [j1]Ronen Eldan:
A Polynomial Number of Random Points Does Not Determine the Volume of a Convex Body. Discret. Comput. Geom. 46(1): 29-47 (2011)
Coauthor Index
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last updated on 2024-10-07 22:19 CEST by the dblp team
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