Hannah Lawrence

31 papers A* 10Misc 1Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoRR
Abhinav Goel, Derek Lim, Hannah Lawrence, Stefanie Jegelka, Ningyuan Huang
2026 J jnl
CoRR
Jonathan W. Siegel, Snir Hordan, Hannah Lawrence, Ali Syed, Nadav Dym
2025 J jnl
Found. Trends Mach. Learn.
Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Alex Strasser, Haiyang Yu, Yuqing Xie, Xiang Fu, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji
2025 A* conf
ICLR
Hannah Lawrence, Vasco Portilheiro, Yan Zhang, Sékou-Oumar Kaba
2025 J jnl
CoRR
Hannah Lawrence, Vasco Portilheiro, Yan Zhang, Sékou-Oumar Kaba
2025 J jnl
CoRR
Hannah Lawrence, Elyssa F. Hofgard, Vasco Portilheiro, Yuxuan Chen, Tess E. Smidt, Robin Walters
2024 A* conf
ICML
Nadav Dym, Hannah Lawrence, Jonathan W. Siegel
2024 J jnl
CoRR
Nadav Dym, Hannah Lawrence, Jonathan W. Siegel
2024 A* conf
ICLR
Hannah Lawrence, Mitchell Tong Harris
2024 A* conf
ICLR
Bobak T. Kiani, Thien Le, Hannah Lawrence, Stefanie Jegelka, Melanie Weber
2024 J jnl
CoRR
Bobak T. Kiani, Thien Le, Hannah Lawrence, Stefanie Jegelka, Melanie Weber
2024 conf
GRaM
Sharvaree Vadgama, Erik J. Bekkers, Alison Pouplin, Sékou-Oumar Kaba, Robin Walters, Hannah Lawrence, Tegan Emerson, Henry Kvinge, Jakub M. Tomczak, Stefanie Jegelka
2024 ed.
GRaM
Sharvaree Vadgama, Erik J. Bekkers, Alison Pouplin, Sékou-Oumar Kaba, Robin Walters, Hannah Lawrence, Tegan Emerson, Henry Kvinge, Jakub M. Tomczak, Stefanie Jegelka
2023 J jnl
CoRR
Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji
2023 A* conf
ICLR
Saachi Jain, Hannah Lawrence, Ankur Moitra, Aleksander Madry
2023 J jnl
CoRR
Hannah Lawrence, Mitchell Tong Harris
2023 A* conf
NeurIPS
Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak T. Kiani
2023 J jnl
CoRR
Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak Toussi Kiani
2023 A* conf
SODA
Michael Kapralov, Hannah Lawrence, Mikhail Makarov, Cameron Musco, Kshiteej Sheth
2022 J jnl
CoRR
Saachi Jain, Hannah Lawrence, Ankur Moitra, Aleksander Madry
2022 A* conf
NeurIPS
Enric Boix-Adserà, Hannah Lawrence, George Stepaniants, Philippe Rigollet
2022 J jnl
CoRR
Enric Boix Adserà, Hannah Lawrence, George Stepaniants, Philippe Rigollet
2022 A* conf
ICML
Hannah Lawrence, Bobak Toussi Kiani, Kristian G. Georgiev, Andrew K. Dienes
2022 J jnl
CoRR
Michael Kapralov, Hannah Lawrence, Mikhail Makarov, Cameron Musco, Kshiteej Sheth
2021 J jnl
CoRR
Hannah Lawrence, Kristian Georgiev, Andrew Dienes, Bobak Toussi Kiani
2021 conf
MSML
Hannah Lawrence, David Barmherzig, Henry Li, Michael Eickenberg, Marylou Gabrié
2020 Misc conf
ICASSP
Hannah Lawrence, Jerry Li, Cameron Musco, Christopher Musco
2020 A* conf
NeurIPS
Lin Chen, Qian Yu, Hannah Lawrence, Amin Karbasi
2020 J jnl
CoRR
Hannah Lawrence, David A. Barmherzig, Henry Li, Michael Eickenberg, Marylou Gabrié
2019 J jnl
CoRR
Hannah Lawrence, Jerry Li, Cameron Musco, Christopher Musco
2019 J jnl
CoRR
Lin Chen, Qian Yu, Hannah Lawrence, Amin Karbasi
redb/s3_utils.py
← Index redb/s3_utils.py python
"""
S3 and file utility functions for REDB.

Contains MinIO/S3 client creation, S3 key generation,
file download, and archive extraction helpers.
"""
import os
import tempfile
from typing import Optional, List

from minio import Minio
from minio.error import S3Error


def get_minio_client():
    """Create and return a Minio client using credentials from .env file"""
    return Minio(
        endpoint=os.getenv("S3_ENDPOINT"),
        access_key=os.getenv("S3_ACCESS_KEY"),
        secret_key=os.getenv("S3_SECRET_KEY"),
        secure=os.getenv("S3_SECURE", "false").lower() == "true"
    )


def generate_s3_key_from_hash(sample_hash: str) -> str:
    """
    Generate S3 key from hash using sharding structure.
    Example: 09f7d02a3c2382199458c98a62b045145ee54ab6aba86166aecf3d10c3c1444c
    becomes: 09/f7/09f7d02a3c2382199458c98a62b045145ee54ab6aba86166aecf3d10c3c1444c.zip
    """
    if len(sample_hash) < 4:
        raise ValueError(f"Hash too short for sharding: {sample_hash}")

    # Create sharded path: first 2 chars / next 2 chars / full_hash.zip
    return f"{sample_hash[:2]}/{sample_hash[2:4]}/{sample_hash}.zip"


def download_s3_object(s3_bucket: str, s3_key: str, temp_dir: str, logger=None) -> Optional[str]:
    """
    Download an object from S3 to a local temporary directory and return the local path.
    If the .zip file is not found, automatically tries .7z as a fallback for legacy uploads.
    """
    try:
        minio_client = get_minio_client()
        local_path = os.path.join(temp_dir, os.path.basename(s3_key))

        # Download the file
        minio_client.fget_object(s3_bucket, s3_key, local_path)

        return local_path
    except S3Error as e:
        # If .zip not found and error is NoSuchKey, try .7z fallback
        if e.code == 'NoSuchKey' and s3_key.endswith('.zip'):
            s3_key_7z = s3_key[:-4] + '.7z'  # Replace .zip with .7z
            if logger:
                logger.info(f".zip not found, trying .7z fallback: {s3_key_7z}")
            try:
                local_path_7z = os.path.join(temp_dir, os.path.basename(s3_key_7z))
                minio_client.fget_object(s3_bucket, s3_key_7z, local_path_7z)
                if logger:
                    logger.info(f"Successfully downloaded .7z fallback: {s3_key_7z}")
                return local_path_7z
            except S3Error as e2:
                if logger:
                    logger.error(f"Failed to download S3 object {s3_key} (tried both .zip and .7z): {e2}")
                else:
                    print(f"[ERROR] Failed to download S3 object {s3_key} (tried both .zip and .7z): {e2}")
                return None
        else:
            if logger:
                logger.error(f"Failed to download S3 object {s3_key}: {e}")
            else:
                print(f"[ERROR] Failed to download S3 object {s3_key}: {e}")
            return None


def extract_fat_slices(macho, output_dir: str, logger) -> List[tuple]:
    """
    Extract slices from FAT Mach-O binary using machofile's dump_slices() API.

    Args:
        macho: Parsed machofile.UniversalMachO object
        output_dir: Directory to write slice files
        logger: Logger instance

    Returns:
        List of (arch_name, slice_path, slice_sha256, slice_md5, slice_sha1) tuples
    """
    result = []
    try:
        # Use machofile's dump_slices API (v2026.2.5+)
        slices = macho.dump_slices(output_dir=output_dir)
        logger.debug(f"Extracted {len(slices)} slices from FAT binary")

        for arch_name, slice_path in slices:
            # Get hash info for this slice from machofile
            general_info = macho.get_general_info(arch=arch_name)
            slice_sha256 = general_info.get('SHA256')
            slice_md5 = general_info.get('MD5')
            slice_sha1 = general_info.get('SHA1')
            result.append((arch_name, slice_path, slice_sha256, slice_md5, slice_sha1))
            logger.debug(f"Slice {arch_name}: {slice_sha256}")

    except Exception as e:
        logger.error(f"Error extracting FAT slices: {e}")

    return result