Linearly many faults in 2-tree-generated networks. - Eddie Cheng 001; László Lipták; Fred Sala 001 (Networks, 2010)

A practical framework for efficient file synchronization. - Nicolas Bitouze; Frederic Sala; S. M. Sadegh Tabatabaei Yazdi; Lara Dolecek (Allerton, 2013)

Counting sequences obtained from the synchronization channel. - Frederic Sala; Lara Dolecek (ISIT, 2013)

Constrained rank modulation schemes. - Frederic Sala; Lara Dolecek (ITW, 2013)

Dynamic Threshold Schemes for Multi-Level Non-Volatile Memories. - Frederic Sala; Ryan Gabrys; Lara Dolecek (IEEE Trans. Commun., 2013)

Efficient file synchronization: Extensions and simulations. - Clayton Schoeny; Nicolas Bitouze; Frederic Sala; Lara Dolecek (ACSSC, 2014)

Single-deletion-correcting codes over permutations. - Ryan Gabrys; Eitan Yaakobi; Farzad Farnoud; Frederic Sala; Jehoshua Bruck; Lara Dolecek (ISIT, 2014)

Deletions in multipermutations. - Frederic Sala; Ryan Gabrys; Lara Dolecek (ISIT, 2014)

Gilbert-Varshamov-like lower bounds for deletion-correcting codes. - Frederic Sala; Ryan Gabrys; Lara Dolecek (ITW, 2014)

Coding for Unreliable Flash Memory Cells. - Ryan Gabrys; Frederic Sala; Lara Dolecek (IEEE Commun. Lett., 2014)

Asymmetric ECCs for Flash in high-radiation environments. - Frederic Sala; Clayton Schoeny; Dariush Divsalar; Lara Dolecek (ACSSC, 2015)

Three novel combinatorial theorems for the insertion/deletion channel. - Frederic Sala; Ryan Gabrys; Clayton Schoeny; Lara Dolecek (ISIT, 2015)

Asymmetric error-correcting codes for Flash memories in high-radiation environments. - Frederic Sala; Clayton Schoeny; Dariush Divsalar; Lara Dolecek (ISIT, 2015)

Analysis and coding schemes for the flash normal-laplace mixture channel. - Clayton Schoeny; Frederic Sala; Lara Dolecek (ISIT, 2015)

Error Control Schemes for Modern Flash Memories: Solutions for Flash deficiencies. - Frederic Sala; Kees A. Schouhamer Immink; Lara Dolecek (IEEE Consumer Electron. Mag., 2015)

NSF expedition on variability-aware software: Recent results and contributions. - Lucas Francisco Wanner; Liangzhen Lai; Abbas Rahimi; Mark Gottscho; Pietro Mercati; Chu-Hsiang Huang; Frederic Sala; Yuvraj Agarwal; Lara Dolecek; Nikil D. Dutt; Puneet Gupta 001; Rajesh K. Gupta 001; et al. (it Inf. Technol., 2015)

Advanced Algebraic and Graph-Based ECC Schemes for Modern NVMs. - Frederic Sala; Clayton Schoeny; Lara Dolecek (3D Flash Memories, 2016)

Flash memories in high radiation environments: LDPC decoder study. - Frederic Sala; Clayton Schoeny; Shahroze Kabir; Dariush Divsalar; Lara Dolecek (ACSSC, 2016)

Robust channel coding strategies for machine learning data. - Kayvon Mazooji; Frederic Sala; Guy Van den Broeck; Lara Dolecek (Allerton, 2016)

A Unified Framework for Error Correction in On-chip Memories. - Frederic Sala; Henry Duwe; Lara Dolecek; Rakesh Kumar 002 (DSN Workshops, 2016)

Exact sequence reconstruction for insertion-correcting codes. - Frederic Sala; Ryan Gabrys; Clayton Schoeny; Kayvon Mazooji; Lara Dolecek (ISIT, 2016)

Channel Coding Methods for Non-Volatile Memories. - Lara Dolecek; Frederic Sala (Found. Trends Commun. Inf. Theory, 2016)

Synchronizing Files From a Large Number of Insertions and Deletions. - Frederic Sala; Clayton Schoeny; Nicolas Bitouze; Lara Dolecek (IEEE Trans. Commun., 2016)

Codes Correcting Erasures and Deletions for Rank Modulation. - Ryan Gabrys; Eitan Yaakobi; Farzad Farnoud; Frederic Sala; Jehoshua Bruck; Lara Dolecek (IEEE Trans. Inf. Theory, 2016)

Algorithms and Coding Techniques for Reliable Data Management and Storage. - Frederic Sala (2016)

Novel combinatorial coding results for DNA sequencing and data storage. - Clayton Schoeny; Frederic Sala; Lara Dolecek (ACSSC, 2017)

Coded machine learning: Joint informed replication and learning for linear regression. - Shahroze Kabir; Frederic Sala; Guy Van den Broeck; Lara Dolecek (Allerton, 2017)

Don't Fear the Bit Flips: Optimized Coding Strategies for Binary Classification. - Frederic Sala; Shahroze Kabir; Guy Van den Broeck; Lara Dolecek (CoRR, 2017)

On Nonuniform Noisy Decoding for LDPC Codes With Application to Radiation-Induced Errors. - Frederic Sala; Clayton Schoeny; Shahroze Kabir; Dariush Divsalar; Lara Dolecek (IEEE Trans. Commun., 2017)

Exact Reconstruction From Insertions in Synchronization Codes. - Frederic Sala; Ryan Gabrys; Clayton Schoeny; Lara Dolecek (IEEE Trans. Inf. Theory, 2017)

Representation Tradeoffs for Hyperbolic Embeddings. - Frederic Sala; Christopher De Sa; Albert Gu; Christopher Ré (ICML, 2018)

Signal Processing and Coding Techniques for 2-D Magnetic Recording: An Overview. - Shayan Srinivasa Garani; Lara Dolecek; John Barry; Frederic Sala; Bane Vasic (Proc. IEEE, 2018)

Training Complex Models with Multi-Task Weak Supervision. - Alexander Ratner; Braden Hancock; Jared Dunnmon; Frederic Sala; Shreyash Pandey; Christopher Ré (AAAI, 2019)

Learning Mixed-Curvature Representations in Product Spaces. - Albert Gu; Frederic Sala; Beliz Gunel; Christopher Ré (ICLR (Poster), 2019)

Learning Dependency Structures for Weak Supervision Models. - Paroma Varma; Frederic Sala; Ann He; Alexander Ratner; Christopher Ré (ICML, 2019)

Multi-Resolution Weak Supervision for Sequential Data. - Paroma Varma; Frederic Sala; Shiori Sagawa; Jason Alan Fries; Daniel Y. Fu; Saelig Khattar; Ashwini Ramamoorthy; Ke Xiao; Kayvon Fatahalian; James Priest; Christopher Ré (NeurIPS, 2019)

Codes Correcting Two Deletions. - Ryan Gabrys; Frederic Sala (IEEE Trans. Inf. Theory, 2019)

Context-Aware Resiliency: Unequal Message Protection for Random-Access Memories. - Clayton Schoeny; Frederic Sala; Mark Gottscho; Irina Alam; Puneet Gupta 001; Lara Dolecek (IEEE Trans. Inf. Theory, 2019)

Low-Dimensional Hyperbolic Knowledge Graph Embeddings. - Ines Chami; Adva Wolf; Da-Cheng Juan; Frederic Sala; Sujith Ravi; Christopher Ré (ACL, 2020)

Ivy: Instrumental Variable Synthesis for Causal Inference. - Zhaobin Kuang; Frederic Sala; Nimit Sharad Sohoni; Sen Wu 002; Aldo Córdova-Palomera; Jared Dunnmon; James Priest; Christopher Ré (AISTATS, 2020)

Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods. - Daniel Y. Fu; Mayee F. Chen; Frederic Sala; Sarah M. Hooper; Kayvon Fatahalian; Christopher Ré (ICML, 2020)

Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings. - Mayee F. Chen; Daniel Y. Fu; Frederic Sala; Sen Wu 002; Ravi Teja Mullapudi; Fait Poms; Kayvon Fatahalian; Christopher Ré (CoRR, 2020)

Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation. - Mayee F. Chen; Benjamin Cohen-Wang; Stephen Mussmann; Frederic Sala; Christopher Ré (AISTATS, 2021)

Cut out the annotator, keep the cutout: better segmentation with weak supervision. - Sarah M. Hooper; Michael Wornow; Ying Hang Seah; Peter Kellman; Hui Xue 006; Frederic Sala; Curtis P. Langlotz; Christopher Ré (ICLR, 2021)

AutoML Decathlon: Diverse Tasks, Modern Methods, and Efficiency at Scale. - Nicholas Roberts; Samuel Guo; Cong Xu; Ameet Talwalkar; David Lander; Lvfang Tao; Linhang Cai; Shuaicheng Niu; Jianyu Heng; Hongyang Qin; Minwen Deng; Johannes Hog; et al. (NeurIPS (Competition and Demos), 2021)

Universalizing Weak Supervision. - Changho Shin; Winfred Li; Harit Vishwakarma; Nicholas Carl Roberts; Frederic Sala (ICLR, 2022)

Efficient Representation Learning for Higher-Order Data With Simplicial Complexes. - Ruochen Yang; Frederic Sala; Paul Bogdan (LoG, 2022)

AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels. - Nicholas Carl Roberts; Xintong Li 001; Tzu-Heng Huang; Dyah Adila; Spencer Schoenberg; Cheng-Yu Liu 002; Lauren Pick; Haotian Ma; Aws Albarghouthi; Frederic Sala (NeurIPS, 2022)

NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks. - Renbo Tu; Nicholas Roberts; Mikhail Khodak; Junhong Shen; Frederic Sala; Ameet Talwalkar (NeurIPS, 2022)

Lifting Weak Supervision To Structured Prediction. - Harit Vishwakarma; Frederic Sala (NeurIPS, 2022)

Shoring up the foundations: fusing model embeddings and weak supervision. - Mayee F. Chen; Daniel Y. Fu; Dyah Adila; Michael Zhang; Frederic Sala; Kayvon Fatahalian; Christopher Ré (UAI, 2022)

Ask Me Anything: A simple strategy for prompting language models. - Simran Arora; Avanika Narayan; Mayee F. Chen; Laurel J. Orr; Neel Guha; Kush Bhatia; Ines Chami; Frederic Sala; Christopher Ré (CoRR, 2022)

AutoML for Climate Change: A Call to Action. - Renbo Tu; Nicholas Roberts; Vishak Prasad; Sibasis Nayak; Paarth Jain; Frederic Sala; Ganesh Ramakrishnan; Ameet Talwalkar; Willie Neiswanger; Colin White (CoRR, 2022)

Good Data from Bad Models : Foundations of Threshold-based Auto-labeling. - Harit Vishwakarma; Heguang Lin; Frederic Sala; Ramya Korlakai Vinayak (CoRR, 2022)

Lifting Weak Supervision To Structured Prediction. - Harit Vishwakarma; Nicholas Roberts; Frederic Sala (CoRR, 2022)

Resonant Anomaly Detection with Multiple Reference Datasets. - Mayee F. Chen; Benjamin Nachman; Frederic Sala (CoRR, 2022)

The Cost of Compression: Investigating the Impact of Compression on Parametric Knowledge in Language Models. - Satya Sai Srinath Namburi; Makesh Sreedhar; Srinath Srinivasan; Frederic Sala (EMNLP (Findings), 2023)

The Credential is Not Enough: Deception with Honeypots and Fake Credentials. - Sonia Cromp; Mark Bilinski; Ryan Gabrys; Frederic Sala (GameSec, 2023)

Generative Modeling Helps Weak Supervision (and Vice Versa). - Benedikt Boecking; Nicholas Carl Roberts; Willie Neiswanger; Stefano Ermon; Frederic Sala; Artur Dubrawski (ICLR, 2023)

Skill-it! A data-driven skills framework for understanding and training language models. - Mayee F. Chen; Nicholas Roberts; Kush Bhatia; Jue Wang; Ce Zhang 001; Frederic Sala; Christopher Ré (NeurIPS, 2023)

Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification. - Neel Guha; Mayee F. Chen; Kush Bhatia; Azalia Mirhoseini; Frederic Sala; Christopher Ré (NeurIPS, 2023)

Train 'n Trade: Foundations of Parameter Markets. - Tzu-Heng Huang; Harit Vishwakarma; Frederic Sala (NeurIPS, 2023)

Geometry-Aware Adaptation for Pretrained Models. - Nicholas Carl Roberts; Xintong Li 001; Dyah Adila; Sonia Cromp; Tzu-Heng Huang; Jitian Zhao; Frederic Sala (NeurIPS, 2023)

Mitigating Source Bias for Fairer Weak Supervision. - Changho Shin; Sonia Cromp; Dyah Adila; Frederic Sala (NeurIPS, 2023)

Promises and Pitfalls of Threshold-based Auto-labeling. - Harit Vishwakarma; Heguang Lin; Frederic Sala; Ramya Korlakai Vinayak (NeurIPS, 2023)

Zero-Shot Robustification of Zero-Shot Models With Foundation Models. - Dyah Adila; Changho Shin; Linrong Cai; Frederic Sala (CoRR, 2023)

Domain Generalization via Nuclear Norm Regularization. - Zhenmei Shi; Yifei Ming; Ying Fan; Frederic Sala; Yingyu Liang (CPAL, 2024)

Look Who's Talking Now: Covert Channels From Biased LLMs. - Daniel Silva 012; Frederic Sala; Ryan Gabrys (EMNLP (Findings), 2024)

Zero-Shot Robustification of Zero-Shot Models. - Dyah Adila; Changho Shin; Linrong Cai; Frederic Sala (ICLR, 2024)

The ALCHEmist: Automated Labeling 500x CHEaper than LLM Data Annotators. - Tzu-Heng Huang; Catherine Cao; Vaishnavi Bhargava; Frederic Sala (NeurIPS, 2024)

OTTER: Effortless Label Distribution Adaptation of Zero-shot Models. - Changho Shin; Jitian Zhao; Sonia Cromp; Harit Vishwakarma; Frederic Sala (NeurIPS, 2024)

Pearls from Pebbles: Improved Confidence Functions for Auto-labeling. - Harit Vishwakarma; Yi Chen; Sui Jiet Tay; Satya Sai Srinath Namburi; Frederic Sala; Ramya Korlakai Vinayak (NeurIPS, 2024)

Stronger Than You Think: Benchmarking Weak Supervision on Realistic Tasks. - Tianyi Zhang 015; Linrong Cai; Jeffrey Li; Nicholas Roberts; Neel Guha; Frederic Sala (NeurIPS, 2024)

Multimodal Data Curation via Object Detection and Filter Ensembles. - Tzu-Heng Huang; Changho Shin; Sui Jiet Tay; Dyah Adila; Frederic Sala (CoRR, 2024)

Product Manifold Representations for Learning on Biological Pathways. - Daniel McNeela; Frederic Sala; Anthony Gitter (CoRR, 2024)

OTTER: Improving Zero-Shot Classification via Optimal Transport. - Changho Shin; Jitian Zhao; Sonia Cromp; Harit Vishwakarma; Frederic Sala (CoRR, 2024)

Pearls from Pebbles: Improved Confidence Functions for Auto-labeling. - Harit Vishwakarma; Reid Chen; Sui Jiet Tay; Satya Sai Srinath Namburi; Frederic Sala; Ramya Korlakai Vinayak (CoRR, 2024)

Pretrained Hybrids with MAD Skills. - Nicholas Roberts; Samuel Guo; Zhiqi Gao; Satya Sai Srinath Namburi; Sonia Cromp; Chengjun Wu; Chengyu Duan; Frederic Sala (CoRR, 2024)

Is Free Self-Alignment Possible? - Dyah Adila; Changho Shin; Yijing Zhang; Frederic Sala (CoRR, 2024)

Evaluating Language Model Context Windows: A "Working Memory" Test and Inference-time Correction. - Amanda Dsouza; Christopher Glaze; Changho Shin; Frederic Sala (CoRR, 2024)

MoRe Fine-Tuning with 10x Fewer Parameters. - Wenxuan Tan; Nicholas Carl Roberts; Tzu-Heng Huang; Jitian Zhao; John Cooper; Samuel Guo; Chengyu Duan; Frederic Sala (CoRR, 2024)

Weak-to-Strong Generalization Through the Data-Centric Lens. - Changho Shin; John Cooper; Frederic Sala (ICLR, 2025)

Personalize Your LLM: Fake it then Align it. - Yijing Zhang; Dyah Adila; Changho Shin; Frederic Sala (NAACL (Findings), 2025)

Evaluating Sample Utility for Data Selection by Mimicking Model Weights. - Tzu-Heng Huang; Manjot Bilkhu; Frederic Sala; Javier R. Movellan (CoRR, 2025)

Stronger Than You Think: Benchmarking Weak Supervision on Realistic Tasks. - Tianyi Zhang 015; Linrong Cai; Jeffrey Li; Nicholas Roberts; Neel Guha; Jinoh Lee; Frederic Sala (CoRR, 2025)

ScriptoriumWS: A Code Generation Assistant for Weak Supervision. - Tzu-Heng Huang; Catherine Cao; Spencer Schoenberg; Harit Vishwakarma; Nicholas Carl Roberts; Frederic Sala (CoRR, 2025)

Theoretical Physics Benchmark (TPBench) - a Dataset and Study of AI Reasoning Capabilities in Theoretical Physics. - Daniel J. H. Chung; Zhiqi Gao; Yurii Kvasiuk; Tianyi Li; Moritz Münchmeyer; Maja Rudolph; Frederic Sala; Sai Chaitanya Tadepalli (CoRR, 2025)

Tabby: Tabular Data Synthesis with Language Models. - Sonia Cromp; Satya Sai Srinath Namburi GNVV; Mohammed Alkhudhayri; Catherine Cao; Samuel Guo; Nicholas Carl Roberts; Frederic Sala (CoRR, 2025)

TARDIS: Mitigating Temporal Misalignment via Representation Steering. - Changho Shin; Xinya Yan; Suenggwan Jo; Sungjun Cho; Shourjo Aditya Chaudhuri; Frederic Sala (CoRR, 2025)

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training. - Albert Ge; Tzu-Heng Huang; John Cooper; Avi Trost; Ziyi Chu; Satya Sai Srinath Namburi GNVV; Ziyang Cai; Kendall Park; Nicholas Carl Roberts; Frederic Sala (CoRR, 2025)

COSMOS: Predictable and Cost-Effective Adaptation of LLMs. - Jiayu Wang; Aws Albarghouthi; Frederic Sala (CoRR, 2025)

Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning. - Jiayu Wang; Yifei Ming; Zixuan Ke; Caiming Xiong; Shafiq Joty; Aws Albarghouthi; Frederic Sala (CoRR, 2025)

Reward Models Enable Scalable Code Verification by Trading Accuracy for Throughput. - Gabriel Orlanski; Nicholas Carl Roberts; Aws Albarghouthi; Frederic Sala (CoRR, 2025)

Time To Impeach LLM-as-a-Judge: Programs are the Future of Evaluation. - Tzu-Heng Huang; Harit Vishwakarma; Frederic Sala (CoRR, 2025)

Quantifying Structure in CLIP Embeddings: A Statistical Framework for Concept Interpretation. - Jitian Zhao; Chenghui Li; Frederic Sala; Karl Rohe (CoRR, 2025)

Shrinking the Generation-Verification Gap with Weak Verifiers. - Jon Saad-Falcon; Estefany Kelly Buchanan; Mayee F. Chen; Tzu-Heng Huang; Brendan McLaughlin; Tanvir Bhathal; Shang Zhu; Ben Athiwaratkun; Frederic Sala; Scott W. Linderman; Azalia Mirhoseini; Christopher Ré (CoRR, 2025)

Test-time Scaling Techniques in Theoretical Physics - A Comparison of Methods on the TPBench Dataset. - Zhiqi Gao; Tianyi Li; Yurii Kvasiuk; Sai Chaitanya Tadepalli; Maja Rudolph; Daniel J. H. Chung; Frederic Sala; Moritz Münchmeyer (CoRR, 2025)