Nathaniel D. Daw

59 papers A* 4B 15Misc 1Journal 32Unranked 7
YearRankTypeTitle / Venue / Authors
2025 A* conf
ICML
Pablo Samuel Castro, Nenad Tomasev, Ankit Anand, Navodita Sharma, Rishika Mohanta, Aparna Dev, Kuba Perlin, Siddhant Jain, Kyle Levin, Noémi Élteto, Will Dabney, Alexander Novikov, Glenn C. Turner, Maria K. Eckstein, Nathaniel D. Daw, Kevin J. Miller, Kim Stachenfeld
2025 B conf
CogSci
Gili Karni, Nathaniel D. Daw, Yael Niv
2025 J jnl
CoRR
Victor Geadah, Juncal Arbelaiz, Harrison Ritz, Nathaniel D. Daw, Jonathan D. Cohen, Jonathan W. Pillow
2025 J jnl
PLoS Comput. Biol.
Ari E. Kahn, Dani S. Bassett, Nathaniel D. Daw
2024 B conf
CogSci
Laura Bustamante, Deanna M. Barch, Johanne Solis, Temitope Oshinowo, Ivan Grahek, Anna B. Konova, Nathaniel D. Daw, Jonathan Cohen
2024 conf
CDC
Victor Geadah, Juncal Arbelaiz, Harrison Ritz, Nathaniel D. Daw, Jonathan D. Cohen, Jonathan W. Pillow
2024 B conf
CogSci
Carlos G. Correa, Tom Griffiths, Nathaniel D. Daw
2024 J jnl
CoRR
Carlos G. Correa, Thomas L. Griffiths, Nathaniel D. Daw
2024 B conf
CogSci
Corey Yishan Zhou, Deborah Talmi, Nathaniel D. Daw, Marcelo G. Mattar
2024 J jnl
PLoS Comput. Biol.
Carlos A. Velázquez-Vargas, Nathaniel D. Daw, Jordan A. Taylor
2023 J jnl
PLoS Comput. Biol.
Sreejan Kumar, Ishita Dasgupta, Nathaniel D. Daw, Jonathan D. Cohen, Thomas L. Griffiths
2023 J jnl
CoRR
Carlos G. Correa, Sophia Sanborn, Mark K. Ho, Frederick Callaway, Nathaniel D. Daw, Thomas L. Griffiths
2023 J jnl
PLoS Comput. Biol.
Carlos G. Correa, Mark K. Ho, Frederick Callaway, Nathaniel D. Daw, Thomas L. Griffiths
2023 B conf
CogSci
Maria K. Eckstein, Christopher Summerfield, Nathaniel D. Daw, Kevin J. Miller
2023 A* conf
NeurIPS
Alexander Meulemans, Simon Schug, Seijin Kobayashi, Nathaniel D. Daw, Gregory Wayne
2023 J jnl
CoRR
Alexander Meulemans, Simon Schug, Seijin Kobayashi, Nathaniel D. Daw, Gregory Wayne
2022 J jnl
CoRR
Sreejan Kumar, Ishita Dasgupta, Raja Marjieh, Nathaniel D. Daw, Jonathan D. Cohen, Thomas L. Griffiths
2022 J jnl
CoRR
Carlos G. Correa, Mark K. Ho, Frederick Callaway, Nathaniel D. Daw, Thomas L. Griffiths
2022 B conf
CogSci
Ham Huang, Ivan Grahek, Laura Bustamante, Nathaniel D. Daw, Andrew Caplin, Sebastian Musslick
2022 J jnl
CoRR
Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y. Hu, Robert D. Hawkins, Nathaniel D. Daw, Jonathan D. Cohen, Karthik Narasimhan, Thomas L. Griffiths
2022 A* conf
NeurIPS
Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y. Hu, Robert D. Hawkins, Jonathan D. Cohen, Nathaniel D. Daw, Karthik Narasimhan, Tom Griffiths
2021 J jnl
J. Cogn. Neurosci.
Karin Foerde, Nathaniel D. Daw, Teresa Rufin, B. Timothy Walsh, Daphna Shohamy, Joanna E. Steinglass
2021 A* conf
ICLR
Sreejan Kumar, Ishita Dasgupta, Jonathan D. Cohen, Nathaniel D. Daw, Thomas L. Griffiths
2020 J jnl
J. Cogn. Neurosci.
Sagi Jaffe-Dax, Alex M. Boldin, Nathaniel D. Daw, Lauren L. Emberson
2020 J jnl
PLoS Comput. Biol.
Payam Piray, Nathaniel D. Daw
2020 J jnl
CoRR
Sreejan Kumar, Ishita Dasgupta, Jonathan D. Cohen, Nathaniel D. Daw, Thomas L. Griffiths
2019 J jnl
PLoS Comput. Biol.
Payam Piray, Amir Dezfouli, Tom Heskes, Michael J. Frank, Nathaniel D. Daw
2018 B conf
CogSci
Laura Bustamante, Augustus Baker, Allison Burton, Amitai Shenhav, Chloe Hoeber, Nathaniel D. Daw, Jonathan Cohen
2017 B conf
CogSci
Jennifer Lenow, Nathaniel D. Daw, Elizabeth A. Phelps
2017 B conf
CogSci
Gary Kane, Aaron M. Bornstein, Robert Wilson, Amitai Shenhav, Nathaniel D. Daw, Jonathan Cohen
2017 B conf
CogSci
Sagi Jaffe-Dax, Alex M. Boldin, Nathaniel D. Daw, Lauren L. Emberson
2017 J jnl
PLoS Comput. Biol.
Evan M. Russek, Ida Momennejad, Matthew M. Botvinick, Samuel J. Gershman, Nathaniel D. Daw
2017 J jnl
PLoS Comput. Biol.
Elyse H. Norton, Stephen M. Fleming, Nathaniel D. Daw, Michael S. Landy
2016 B conf
CogSci
Andra Geana, Robert Wilson, Nathaniel D. Daw, Jonathan Cohen
2016 B conf
CogSci
Andra Geana, Robert Wilson, Nathaniel D. Daw, Jonathan Cohen
2015 J jnl
J. Cogn. Neurosci.
A. Ross Otto, Anya Skatova, Seth Madlon-Kay, Nathaniel D. Daw
2014 B conf
CogSci
A. Ross Otto, Anya Skatova, Seth Madlon-Kay, Nathaniel D. Daw
2013 J jnl
NeuroImage
Seth Madlon-Kay, Bijan Pesaran, Nathaniel D. Daw
2013 J jnl
PLoS Comput. Biol.
Aaron M. Bornstein, Nathaniel D. Daw
2013 J jnl
PLoS Comput. Biol.
Hang Zhang, Nathaniel D. Daw, Laurence T. Maloney
2013 J jnl
Nat.
Mattia Rigotti, Omri Barak, Melissa R. Warden, Xiao-Jing Wang, Nathaniel D. Daw, Earl K. Miller, Stefano Fusi
2012 B conf
CogSci
Kenji Doya, John P. O'Doherty, Alexandre Pouget, Peter Bossaerts, Nathaniel D. Daw, Yael Niv
2011 conf
NIPS
Dylan A. Simon, Nathaniel D. Daw
2011 J jnl
PLoS Comput. Biol.
Nicholas J. Gustafson, Nathaniel D. Daw
2011 B conf
CogSci
Bradley C. Love, John P. Spencer, Nathaniel D. Daw, John P. O'Doherty
2010 J jnl
NeuroImage
Tom Schonberg, John P. O'Doherty, Daphna Joel, Rivka Inzelberg, Yoram Segev, Nathaniel D. Daw
2007 conf
NIPS
Nathaniel D. Daw, Aaron C. Courville
2006 J jnl
Neural Comput.
Nathaniel D. Daw, Aaron C. Courville, David S. Touretzky
2006 J jnl
Neural Networks
Peter Dayan, Yael Niv, Ben Seymour, Nathaniel D. Daw
2005 conf
NIPS
Yael Niv, Nathaniel D. Daw, Peter Dayan
2004 conf
NIPS
Aaron C. Courville, Nathaniel D. Daw, David S. Touretzky
2003 conf
NIPS
Aaron C. Courville, Nathaniel D. Daw, Geoffrey J. Gordon, David S. Touretzky
2002 J jnl
Neural Networks
Rudolf N. Cardinal, Nathaniel D. Daw, Trevor W. Robbins, Barry J. Everitt
2002 J jnl
Neural Comput.
Nathaniel D. Daw, David S. Touretzky
2002 J jnl
Neural Networks
Nathaniel D. Daw, Sham M. Kakade, Peter Dayan
2002 conf
NIPS
Nathaniel D. Daw, Aaron C. Courville, David S. Touretzky
2001 J jnl
Neurocomputing
Nathaniel D. Daw, David S. Touretzky
2000 J jnl
Neurocomputing
Nathaniel D. Daw, David S. Touretzky
2000 Misc conf
FCCM
Nathaniel D. Daw, Seth Copen Goldstein, Dennis Strelow
redb/extractors/decompiler/apk/smali_parser.py
← Index redb/extractors/decompiler/apk/smali_parser.py python
"""Smali file parser — extracts individual method bodies from apktool output.

Parses .smali files produced by apktool and extracts per-method bodies,
instruction counts, and register counts.
"""

import os
import re
from dataclasses import dataclass, field
from typing import Dict, List, Optional


@dataclass
class SmaliMethod:
    """Parsed smali method data."""
    class_name: str
    method_name: str
    method_signature: str
    body: str
    instruction_count: int = 0
    register_count: int = 0
    access_flags: List[str] = field(default_factory=list)


# Directives start with '.' — these are metadata, not instructions
_DIRECTIVE_RE = re.compile(r"^\s*\.")
# Labels start with ':'
_LABEL_RE = re.compile(r"^\s*:")
# Blank or comment lines
_BLANK_OR_COMMENT_RE = re.compile(r"^\s*(#.*)?$")
# Method declaration
_METHOD_START_RE = re.compile(
    r"^\.method\s+(.*?)\s+(\S+)\(([^)]*)\)(\S+)\s*$"
)
_METHOD_START_SIMPLE_RE = re.compile(
    r"^\.method\s+(.*)"
)
# .registers or .locals directive
_REGISTERS_RE = re.compile(r"^\s*\.registers\s+(\d+)")
_LOCALS_RE = re.compile(r"^\s*\.locals\s+(\d+)")
# .line directive
_LINE_RE = re.compile(r"^\s*\.line\s+\d+")


class SmaliParser:
    """Parser for apktool smali output files."""

    @staticmethod
    def parse_smali_file(filepath: str) -> List[SmaliMethod]:
        """Parse a single .smali file and return list of methods.

        Each .smali file contains one class with all its methods.
        """
        with open(filepath, "r", encoding="utf-8", errors="replace") as f:
            content = f.read()

        return SmaliParser._parse_smali_content(content, filepath)

    @staticmethod
    def _parse_smali_content(content: str, source: str = "") -> List[SmaliMethod]:
        """Parse smali text content and extract methods."""
        lines = content.split("\n")
        methods = []

        # Extract class name from .class directive
        class_name = ""
        for line in lines:
            if line.startswith(".class "):
                parts = line.split()
                class_name = parts[-1]  # Last token is the class descriptor
                break

        in_method = False
        method_lines = []
        method_header = ""
        access_flags = []
        skip_method = False

        for line in lines:
            if line.startswith(".method "):
                in_method = True
                method_lines = []
                method_header = line
                skip_method = False

                # Parse access flags and method signature
                remainder = line[len(".method "):].strip()
                tokens = remainder.split()
                access_flags = []
                method_sig_token = tokens[-1] if tokens else ""

                for t in tokens[:-1]:
                    access_flags.append(t)

                # Skip abstract and native methods (no body)
                if "abstract" in access_flags or "native" in access_flags:
                    skip_method = True

            elif line.startswith(".end method"):
                if in_method and not skip_method:
                    body = "\n".join(method_lines)
                    method_name, signature = SmaliParser._parse_method_sig(
                        method_header
                    )
                    instruction_count = SmaliParser.count_instructions(body)
                    register_count = SmaliParser._extract_register_count(body)

                    methods.append(
                        SmaliMethod(
                            class_name=class_name,
                            method_name=method_name,
                            method_signature=signature,
                            body=body,
                            instruction_count=instruction_count,
                            register_count=register_count,
                            access_flags=access_flags,
                        )
                    )
                in_method = False
                method_lines = []
                access_flags = []

            elif in_method and not skip_method:
                method_lines.append(line)

        return methods

    @staticmethod
    def parse_smali_directory(dirpath: str) -> Dict[str, SmaliMethod]:
        """Parse all .smali files in a directory tree.

        Returns dict keyed by 'ClassName->methodName(signature)ReturnType'.
        """
        result = {}
        for root, _dirs, files in os.walk(dirpath):
            for fname in files:
                if fname.endswith(".smali"):
                    fpath = os.path.join(root, fname)
                    try:
                        methods = SmaliParser.parse_smali_file(fpath)
                        for m in methods:
                            key = SmaliParser.make_method_key(
                                m.class_name, m.method_name, m.method_signature
                            )
                            result[key] = m
                    except Exception:
                        continue
        return result

    @staticmethod
    def normalize_smali_body(body: str) -> str:
        """Normalize smali body for consistent hashing.

        Strips comments, .line directives, normalizes whitespace.
        """
        lines = []
        for line in body.split("\n"):
            stripped = line.strip()
            # Skip empty lines, comments, and .line directives
            if not stripped or stripped.startswith("#"):
                continue
            if _LINE_RE.match(stripped):
                continue
            lines.append(stripped)
        return "\n".join(lines)

    @staticmethod
    def count_instructions(body: str) -> int:
        """Count actual Dalvik instructions (skip directives, labels, blanks)."""
        count = 0
        for line in body.split("\n"):
            stripped = line.strip()
            if not stripped:
                continue
            if _DIRECTIVE_RE.match(stripped):
                continue
            if _LABEL_RE.match(stripped):
                continue
            if _BLANK_OR_COMMENT_RE.match(stripped):
                continue
            count += 1
        return count

    @staticmethod
    def _extract_register_count(body: str) -> int:
        """Extract register count from .registers or .locals directive.

        apktool outputs .locals (local registers only) by default.
        .registers (total = locals + params) is used with --use-registers.
        We return whichever is present.
        """
        for line in body.split("\n"):
            stripped = line.strip()
            m = _REGISTERS_RE.match(stripped)
            if m:
                return int(m.group(1))
            m = _LOCALS_RE.match(stripped)
            if m:
                return int(m.group(1))
        return 0

    @staticmethod
    def _parse_method_sig(header_line: str) -> tuple:
        """Parse method name and signature from .method header line.

        Input: '.method public onCreate(Landroid/os/Bundle;)V'
        Returns: ('onCreate', '(Landroid/os/Bundle;)V')
        """
        remainder = header_line[len(".method "):].strip()
        tokens = remainder.split()
        if not tokens:
            return ("unknown", "()")

        # Last token contains methodName(params)returnType
        method_part = tokens[-1]

        paren_idx = method_part.find("(")
        if paren_idx == -1:
            return (method_part, "()")

        method_name = method_part[:paren_idx]
        signature = method_part[paren_idx:]

        return (method_name, signature)

    @staticmethod
    def make_method_key(class_name: str, method_name: str, signature: str) -> str:
        """Build a canonical method key for cross-tool matching.

        Format: 'Lcom/example/Foo;->methodName(params)ReturnType'
        """
        return f"{class_name}->{method_name}{signature}"