Octavio Arriaga

18 papers A 1B 1C 2Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Differentiable Inverse Graphics for Zero-shot Scene Reconstruction and Robot Grasping.
CoRR
Octavio Arriaga, Proneet Sharma, Jichen Guo, Marc Otto, Siddhant Kadwe, Rebecca Adam
2025 C conf
Bayesian Inverse Physics for Neuro-Symbolic Robot Learning.
NeSy
Octavio Arriaga, Rebecca Adam, Melvin Laux, Lisa Gutzeit, Marco Ragni, Jan Peters, Frank Kirchner
2025 J jnl
Bayesian Inverse Physics for Neuro-Symbolic Robot Learning.
CoRR
Octavio Arriaga, Rebecca Adam, Melvin Laux, Lisa Gutzeit, Marco Ragni, Jan Peters, Frank Kirchner
2024 — conf
Bayesian Inverse Graphics for Few-Shot Concept Learning.
NeSy (1)
Octavio Arriaga, Jichen Guo, Rebecca Adam, Sebastian Houben, Frank Kirchner
2024 J jnl
Bayesian Inverse Graphics for Few-Shot Concept Learning.
CoRR
Octavio Arriaga, Jichen Guo, Rebecca Adam, Sebastian Houben, Frank Kirchner
2023 — conf
DExT: Detector Explanation Toolkit.
xAI (2)
Deepan Chakravarthi Padmanabhan, Paul G. Plöger, Octavio Arriaga, Matias Valdenegro-Toro
2023 — conf
Difficulty Estimation with Action Scores for Computer Vision Tasks.
CVPR Workshops
Octavio Arriaga, Sebastian Palacio, Matias Valdenegro-Toro
2023 C conf
PhysWM: Physical World Models for Robot Learning.
NeSy
Marc Otto, Octavio Arriaga, Chandandeep Singh, Jichen Guo, Frank Kirchner
2023 — conf
Sanity Checks for Saliency Methods Explaining Object Detectors.
xAI (1)
Deepan Chakravarthi Padmanabhan, Paul G. Plöger, Octavio Arriaga, Matias Valdenegro-Toro
2023 J jnl
Sanity Checks for Saliency Methods Explaining Object Detectors.
CoRR
Deepan Chakravarthi Padmanabhan, Paul G. Plöger, Octavio Arriaga, Matias Valdenegro-Toro
2022 A conf
Robot Dance Generation with Music Based Trajectory Optimization.
IROS
Melya Boukheddimi, Daniel Harnack, Shivesh Kumar, Rohit Kumar, Shubham Vyas, Octavio Arriaga, Frank Kirchner
2020 J jnl
Black-Box Optimization of Object Detector Scales.
CoRR
Mohandass Muthuraja, Octavio Arriaga, Paul Plöger, Frank Kirchner, Matias Valdenegro-Toro
2020 J jnl
Perception for Autonomous Systems (PAZ).
CoRR
Octavio Arriaga, Matias Valdenegro-Toro, Mohandass Muthuraja, Sushma Devaramani, Frank Kirchner
2020 J jnl
Unsupervised Difficulty Estimation with Action Scores.
CoRR
Octavio Arriaga, Matias Valdenegro-Toro
2019 B conf
Real-time Convolutional Neural Networks for emotion and gender classification.
ESANN
Matias Valdenegro-Toro, Octavio Arriaga, Paul Plöger
2018 J jnl
Learning of Multi-Context Models for Autonomous Underwater Vehicles.
CoRR
Bilal Wehbe, Octavio Arriaga, Mario Michael Krell, Frank Kirchner
2017 J jnl
Image Captioning and Classification of Dangerous Situations.
CoRR
Octavio Arriaga, Paul Plöger, Matias Valdenegro-Toro
2017 J jnl
Real-time Convolutional Neural Networks for Emotion and Gender Classification.
CoRR
Octavio Arriaga, Matias Valdenegro-Toro, Paul Plöger
pyproject.toml
← Index pyproject.toml ini 
[tool.black]
line-length = 120
target-version = ['py38']
include = '\.pyi?$'
extend-exclude = '''
/(
  # directories
  \.eggs
  | \.git
  | \.hg
  | \.mypy_cache
  | \.tox
  | \.venv
  | build
  | dist
  | venv
)/
'''

[tool.isort]
profile = "black"
line_length = 120
multi_line_output = 3
include_trailing_comma = true
force_grid_wrap = 0
use_parentheses = true
ensure_newline_before_comments = true

[tool.flake8]
max-line-length = 120
ignore = ["E501", "W503", "E203", "F401"]
exclude = [
    "__pycache__",
    ".git",
    "venv",
    "build",
    "dist",
    "*.egg-info",
]

[tool.pylint.messages_control]
disable = [
    "C0114",  # missing-module-docstring
    "C0115",  # missing-class-docstring
    "C0116",  # missing-function-docstring
    "C0103",  # invalid-name
    "R0903",  # too-few-public-methods
    "R0913",  # too-many-arguments
    "R0914",  # too-many-locals
    "R0915",  # too-many-statements
]

[tool.pylint.format]
max-line-length = 120

# ============================================================================
# Pytest Configuration
# ============================================================================
[tool.pytest.ini_options]
testpaths = ["tests/unit", "tests/integration"]
python_files = ["test_*.py"]
python_classes = ["Test*"]
python_functions = ["test_*"]

# Default options: verbose, show locals on failure, strict markers
addopts = [
    "-v",
    "--strict-markers",
    "--tb=short",
]

# Custom markers for selective test execution
markers = [
    "unit: Pure unit tests - no external deps, no disk I/O, fast (< 1s each)",
    "integration: Integration tests - use real test binaries on disk",
    "slow: Tests that take > 5s (e.g. entropy on large files, full extraction pipelines)",
    "pe: Tests specific to PE binary analysis",
    "elf: Tests specific to ELF binary analysis",
    "macho: Tests specific to Mach-O binary analysis",
    "apk: Tests specific to APK binary analysis",
    "exporters: Tests for database exporters (ClickHouse, Elasticsearch, Print)",
    "dataclass: Tests for dataclass construction and field validation",
    "binja: Tests for Binary Ninja decompiler extractors (mocked, no license needed)",
]