Oskar Kviman

16 papers A* 4A 2Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Multi-Marginal Flow Matching with Adversarially Learnt Interpolants.
CoRR
Oskar Kviman, Kirill Tamogashev, Nicola Branchini, Víctor Elvira, Jens Lagergren, Nikolay Malkin
2024 A* conf
Efficient Mixture Learning in Black-Box Variational Inference.
ICML
Alexandra Hotti, Oskar Kviman, Ricky Molén, Víctor Elvira, Jens Lagergren
2024 J jnl
Efficient Mixture Learning in Black-Box Variational Inference.
CoRR
Alexandra Hotti, Oskar Kviman, Ricky Molén, Víctor Elvira, Jens Lagergren
2024 J jnl
Improved Variational Bayesian Phylogenetic Inference using Mixtures.
Trans. Mach. Learn. Res.
Ricky Molén, Oskar Kviman, Jens Lagergren
2024 A* conf
Indirectly Parameterized Concrete Autoencoders.
ICML
Alfred Nilsson, Klas Wijk, Sai Bharath Chandra Gutha, Erik Englesson, Alexandra Hotti, Carlo Saccardi, Oskar Kviman, Jens Lagergren, Ricardo Vinuesa, Hossein Azizpour
2024 J jnl
Indirectly Parameterized Concrete Autoencoders.
CoRR
Alfred Nilsson, Klas Wijk, Sai Bharath Chandra Gutha, Erik Englesson, Alexandra Hotti, Carlo Saccardi, Oskar Kviman, Jens Lagergren, Ricardo Vinuesa, Hossein Azizpour
2024 A conf
Variational Resampling.
AISTATS
Oskar Kviman, Nicola Branchini, Víctor Elvira, Jens Lagergren
2023 A* conf
Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders.
ICML
Oskar Kviman, Ricky Molén, Alexandra Hotti, Semih Kurt, Víctor Elvira, Jens Lagergren
2023 J jnl
Improved Variational Bayesian Phylogenetic Inference using Mixtures.
CoRR
Oskar Kviman, Ricky Molén, Jens Lagergren
2022 J jnl
Learning with MISELBO: The Mixture Cookbook.
CoRR
Oskar Kviman, Ricky Molén, Alexandra Hotti, Semih Kurt, Víctor Elvira, Jens Lagergren
2022 A conf
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations.
AISTATS
Oskar Kviman, Harald Melin, Hazal Koptagel, Victor Elvira, Jens Lagergren
2022 J jnl
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations.
CoRR
Oskar Kviman, Harald Melin, Hazal Koptagel, Víctor Elvira, Jens Lagergren
2022 J jnl
Statistical Distance Based Deterministic Offspring Selection in SMC Methods.
CoRR
Oskar Kviman, Hazal Koptagel, Harald Melin, Jens Lagergren
2022 A* conf
VaiPhy: a Variational Inference Based Algorithm for Phylogeny.
NeurIPS
Hazal Koptagel, Oskar Kviman, Harald Melin, Negar Safinianaini, Jens Lagergren
2022 J jnl
VaiPhy: a Variational Inference Based Algorithm for Phylogeny.
CoRR
Hazal Koptagel, Oskar Kviman, Harald Melin, Negar Safinianaini, Jens Lagergren
2019 — conf
Sequence Disambiguation with Synaptic Traces in Associative Neural Networks.
ICANN (1)
Ramon H. Martinez, Oskar Kviman, Anders Lansner, Pawel Andrzej Herman
requirements.txt
← Index requirements.txt plaintext 
asn1crypto==1.5.1
dotnetfile==0.2.4
elasticsearch==8.15.0
magika==1.0.1
modules==1.0.0
pefile==2023.2.7
py7zr==0.22.0
python-magic==0.4.27
pyzipper==0.3.6
py-tlsh==4.7.2
bitstring==4.2.3
Pillow==10.4.0
setuptools==75.1.0
ppdeep==20200505
cryptography==43.0.3
flare-floss==3.1.1
#stringsifter==3.20230711
signify==0.7.1
yara-x==1.9.0
xxhash==3.6.0
git+https://github.com/wbond/oscrypto.git@1547f535001ba568b239b8797465536759c742a3
pycryptodomex==3.20.0
redis==6.4.0
clickhouse-connect==0.8.13
minio==7.2.15
requests==2.33.1
pyelftools==0.32
python-dotenv
psutil
numpy
mmh3
blake3
machofile==2026.02.10
lief==0.17.3
androguard>=4.1
permhash
jsbeautifier>=1.14.0
chardet==7.4.1
pyjsparser>=2.7.1

# Development and linting tools
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pylint
black
isort