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Title: tlikhomanenko (Tatiana Likhomanenko) · GitHub

Open Graph Title: tlikhomanenko - Overview

X Title: tlikhomanenko - Overview

Description: ML Research Scientist. tlikhomanenko has 23 repositories available. Follow their code on GitHub.

Open Graph Description: ML Research Scientist. tlikhomanenko has 23 repositories available. Follow their code on GitHub.

X Description: ML Research Scientist. tlikhomanenko has 23 repositories available. Follow their code on GitHub.

Mail addresses
mlr-speech-internship@group.apple.com

Opengraph URL: https://github.com/tlikhomanenko

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Domain: github.com

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tlikhomanenkohttps://github.com/tlikhomanenko/tlikhomanenko
https://github.com/tlikhomanenko#dr-tatiana-likhomanenko
https://github.com/tlikhomanenko
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Applehttps://machinelearning.apple.com/
Applehttps://machinelearning.apple.com/
Fundamental AI Researchhttps://ai.facebook.com/
Ronan Colloberthttps://ronan.collobert.com/
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Fundamental AI Researchhttps://ai.facebook.com/
Ronan Colloberthttps://ronan.collobert.com/
Gabriel Synnaevehttps://scholar.google.com/citations?user=wN9rBkcAAAAJ&hl=en
NTechLabhttps://ntechlab.com/
Yandexhttps://yandex.com/
CERNhttps://home.cern/
Yandex School of Data Analysishttps://yandexdataschool.com/
Summer School on Bayesian Methods in Deep Learninghttps://deepbayes.ru/2017/
Rome-Moscow School of Matrix Methods and Applied Linear Algebrahttp://www.mat.uniroma2.it/~tvmsscho/Rome-Moscow_School/2012/pages/home.php
pfl4asrhttps://github.com/apple/ml-pfl4asr
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Flashlighthttps://github.com/flashlight/flashlight
blog posthttps://ai.facebook.com/blog/flashlight-fast-and-flexible-machine-learning-in-c-plus-plus/
Wav2letter++https://github.com/flashlight/wav2letter
BDT reweigter tutorialhttps://github.com/tlikhomanenko/reweighting_tutorial
HepMLhttps://github.com/arogozhnikov/hep_ml
REPhttps://github.com/yandex/rep
Low-Latency Conversational Agenthttps://www.youtube.com/watch?v=cEjzACOfJ2s
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Conversational AI Reading Group at Milahttps://poonehmousavi.github.io/rg
Efficient Speech Generative Modeling With Little Tokenizationhttps://ai-summer-school.inpt.ac.ma/speakers.html
Low-Latency Conversational Agenthttps://sites.google.com/view/speech-ai-ttic-2025?authuser=0#h.o620n3fzfzdd
Private Federated Learning for Speech Recognitionhttps://icasspflute.github.io/speakers.html
Spoken Language Systems Grouphttps://sls.csail.mit.edu/
Efficient Speech Processinghttps://www.youtube.com/watch?v=tiIzJZd-a8Y
Center for Language and Speech Processinghttps://www.clsp.jhu.edu/events/tatiana-likhomanenko-apple-efficient-speech-processing/
Private Federated Learning for Speech Recognitionhttps://mlr-preview.g.apple.com/video/pfl-for-asr
Apple Workshop on Privacy-Preserving Machine Learninghttps://machinelearning.apple.com/updates/ppml-workshop-2024
Simple and Efficient Self-Training Approaches for Speech Recognitionhttps://neurips.cc/virtual/2023/workshop/66532
Simple and Efficient Pseudo-Labeling for Speech Recognitionhttps://sites.google.com/g.harvard.edu/on-device-workshop-23/schedule?authuser=0
Machine Learning at Applehttps://icml.cc/virtual/2022/affinity-workshop/13481
CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddingshttps://www.youtube.com/watch?v=wb04M4qzbb8
Positional Embedding in Transformer-based Modelshttps://cs.hse.ru/data/2021/09/22/1474070341/99.pdf
slimIPL: Language-Model-Free Iterative Pseudo-Labelinghttp://blog.ntrlab.com/ntr-webinar-slimipl-language-model-free-iterative-pseudo-labeling/
Pseudo-Labeling for Speech Recognitionhttp://blog.ntrlab.com/ntr-webinar-pseudo-labeling-for-speech-recognition/
Machine Learning in Science and Industryhttps://arogozhnikov.github.io/2017/04/20/machine-learning-in-science-and-industry.html
LHCb Topological Trigger Optimizationhttps://events.yandex.ru/events/ds/17-sept-2016/
Classifier Output Calibration to Probabilityhttps://indico.cern.ch/event/433556/
Machine Learning and Optimization of LHC Real-Time Event Stream Filter for New Physics Discoverieshttps://www.youtube.com/watch?v=N42fy5OKoDE
https://github.com/tlikhomanenko#private-federated-learning
overviewhttps://machinelearning.apple.com/research/enabling
codehttps://github.com/apple/ml-pfl4asr
slideshttps://neurips.cc/media/neurips-2025/Slides/119958.pdf
posterhttps://neurips.cc/media/PosterPDFs/NeurIPS%202025/119958.png?t=1763791753.7482436
videohttps://neurips.cc/virtual/2025/loc/san-diego/poster/119958
overviewhttps://machinelearning.apple.com/research/federated-learning-speech
videohttps://neurips.cc/virtual/2023/workshop/66531
slideshttps://neurips.cc/media/neurips-2023/Slides/79003.pdf
posterhttps://neurips.cc/media/PosterPDFs/NeurIPS%202023/79003.png?t=1701404021.11928
https://github.com/tlikhomanenko#machine-learning
codehttps://github.com/apple/ml-sigmoid-attention
overviewhttps://machinelearning.apple.com/research/scale-em
videohttps://neurips.cc/virtual/2023/poster/72356
slideshttps://neurips.cc/virtual/2023/poster/72356
posterhttps://neurips.cc/media/PosterPDFs/NeurIPS%202023/72356.png?t=1701269163.1180394
overviewhttps://machinelearning.apple.com/research/stabilizing-transformer-training
videohttps://icml.cc/virtual/2023/poster/24935
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codehttps://github.com/apple/ml-sigma-reparam
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codehttps://github.com/gcambara/cape
codehttps://github.com/arogozhnikov/infiniteboost
https://github.com/tlikhomanenko#nlp
https://github.com/tlikhomanenko#speech-processing
https://github.com/tlikhomanenko#speech-generation
demohttps://apple.github.io/speakstream-demo/
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demo-sourcehttps://github.com/apple/visatronic-demo
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demo-sourcehttps://github.com/apple/dmel-demo
https://github.com/tlikhomanenko#2025
inference code & modelshttps://github.com/apple/ml-omni-router-moe-asr
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https://github.com/tlikhomanenko#2024
https://github.com/tlikhomanenko#2023
overviewhttps://machinelearning.apple.com/research/joint-speech-transcription
overviewhttps://machinelearning.apple.com/research/speakers-speaking
overviewhttps://machinelearning.apple.com/research/continuous-pseudo-labeling
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videohttps://nips.cc/virtual/2022/workshop/49960
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blog posthttps://ai.facebook.com/blog/pseudo-labeling-speech-recognition-using-multilingual-unlabeled-data/
codehttps://github.com/flashlight/wav2letter/tree/main/recipes/mling_pl
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posterhttps://disk.yandex.ru/i/W7Qjrm0rb44eJg
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videohttp://www.interspeech2020.org/index.php?m=content&c=index&a=show&catid=390&id=514
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videohttp://www.interspeech2020.org/index.php?m=content&c=index&a=show&catid=337&id=997
blog posthttps://ai.facebook.com/blog/online-speech-recognition-with-wav2letteranywhere/
newshttps://venturebeat.com/2020/01/13/facebook-releases-low-latency-online-speech-recognition-framework/
presentationhttps://sigport.org/sites/default/files/docs/Libri-Light%20-%20A%20Benchmark%20for%20ASR%20with%20Limited%20or%20No%20Supervision%20--%20ICASSP%202020.pdf
blog posthttps://ai.facebook.com/blog/a-new-open-benchmark-for-speech-recognition-with-limited-or-no-supervision/
codehttps://github.com/facebookresearch/libri-light
videohttps://slideslive.com/38930740
codehttps://github.com/flashlight/wav2letter/tree/master/recipes/sota/2019
https://github.com/tlikhomanenko#2019
presentationhttps://disk.yandex.ru/i/lL8U8Q6tg4GqTQ
blog posthttps://ai.facebook.com/blog/self-supervision-and-building-more-robust-speech-recognition-systems/
codehttps://github.com/flashlight/wav2letter/tree/master/recipes/lexicon_free
https://github.com/tlikhomanenko#machine-learning-in-high-energy-physics
posterhttps://indico.cern.ch/event/567550/contributions/2629676/attachments/1511360/2357050/pid_poster_v3.pdf
posterhttps://disk.yandex.ru/i/aOlSTswbbwlq5Q
codehttps://github.com/tlikhomanenko/tagging_LHCb
presentationhttps://indico.cern.ch/event/304944/contributions/1672458/attachments/578652/796814/hlt.pdf
codehttps://github.com/tlikhomanenko/LHCb-topo-trigger
posterhttps://indico.cern.ch/event/304944/contributions/1672393/attachments/578602/796755/rep-qr.pdf
poster spotlighthttps://indico.ijclab.in2p3.fr/event/2914/contributions/6476/subcontributions/168/attachments/6032/7157/Likhomanenko_Improving-reproducibility_1.pdf
https://github.com/tlikhomanenko#partial-differential-equations-phd
DeepLearn Autumn Schoolhttps://irdta.eu/deeplearn/2022au/blog/speakers/tatiana-likhomanenko/
Grad Dayshttps://gsfp.physi.uni-heidelberg.de/graddays_April_2017/index.php?m=1&s=13
lectureshttps://github.com/tlikhomanenko/MLatGradDays
lectures/seminars 2016https://github.com/yandexdataschool/MLatImperial2016
lectures/seminars 2017https://github.com/tlikhomanenko/MLatImperial2017
Summer School on Machine Learning in High Energy Physics (MLHEP)https://indico.cern.ch/event/497368/
lectures/seminarshttps://github.com/yandexdataschool/mlhep-course-2016
Summer School on Machine Learning in High Energy Physics (MLHEP)https://www.hse.ru/mlhep2015/
lectures/seminarshttps://github.com/yandexdataschool/mlhep2015
https://github.com/tlikhomanenko#member-of
https://github.com/tlikhomanenko#serving-as-reviewer
Transactions on Machine Learning Research (TMLR) 2021-nowhttps://www.jmlr.org/tmlr/
Expert Reviewer 2024, 2025https://jmlr.org/tmlr/reviewers.html
top-8% reviewerhttps://neurips.cc/Conferences/2022/ProgramCommittee
top-8% reviewerhttps://neurips.cc/Conferences/2023/ProgramCommittee
highlighted reviewerhttps://iclr.cc/Conferences/2022/Reviewers
top-2% reviewerhttps://interspeech2023.org/outstanding-reviewers/
outstanding reviewerhttps://2023.ieeeicassp.org/outstanding-reviewer-recognitions/
https://github.com/tlikhomanenko#serving-as-area-chair
https://github.com/tlikhomanenko#other
https://github.com/tlikhomanenko#mentorship
https://github.com/tlikhomanenko#panels
Industry panelhttps://sites.google.com/view/speech-ai-ttic-2025?authuser=0#h.o620n3fzfzdd
Challenges and opportunities of federated learning for Audio Understandinghttps://icasspflute.github.io/program.html
Failure Modes in the Age of Foundation Modelshttps://neurips.cc/virtual/2023/workshop/66506
https://github.com/tlikhomanenko#organizer
Vision-based InduStrial InspectiONhttps://vision-based-industrial-inspection.github.io/cvpr-2023/
Vision-based InduStrial InspectiONhttps://vision-based-industrial-inspection.github.io/eccv-24/
2024https://machinelearning.apple.com/updates/nlu-workshop-2024
2025https://machinelearning.apple.com/updates/nlis-workshop-2025
"Flavours of Physics"https://www.kaggle.com/c/flavours-of-physics
https://github.com/tlikhomanenko#kaggle-competition-flavours-of-physics
research/technical supporthttps://storage.googleapis.com/kaggle-competitions/kaggle/4488/media/lhcb_description_official.pdf
ALEPH workshophttp://yandexdataschool.github.io/aleph2015/
starter-kit for competitionhttps://github.com/tlikhomanenko/flavours-of-physics-start
https://github.com/tlikhomanenko#advising
Santiago Cuervohttps://scholar.google.com/citations?user=ws1qbwIAAAAJ&hl=en&oi=ao
Li-Wei Chenhttps://www.linkedin.com/in/li-wei-chen-142b71125/
Akshita Guptahttps://akshitac8.github.io/
Zijin Guhttps://www.linkedin.com/in/zijin-gu-548397192/
Andrew Rouditchenkohttp://people.csail.mit.edu/roudi/
Lingxiao Zhaohttp://lingxiaozhao.com/
Chun-wei Hohttps://www.linkedin.com/in/chun-wei-ho-559248268/
Sheikh Shams Azamhttps://www.linkedin.com/in/sshamsazam
Dan Berrebbihttps://www.linkedin.com/in/dan-berrebbi-254843169/
Mozhdeh Gheinihttp://www-scf.usc.edu/~gheini/
Colby Bunbaryhttps://www.colbybanbury.com/
Loren Lugoschhttps://lorenlugosch.github.io/
Chaitanya Talnikarhttps://www.linkedin.com/in/chaitanya-talnikar-51980057
Interview to Republichttps://republic.ru/posts/101375
Q&A with AI Residentshttps://research.fb.com/blog/2019/03/qa-with-facebook-ai-residents-tatiana-likhomanenko-and-siddharth-karamcheti/
Abouthttps://alphacephei.com/nsh/2021/01/30/wav2letter-rasr.html
Abouthttps://home.cern/news/news/computing/flavours-physics-join-lhcb-machine-learning-contest
Abouthttps://sciencex.com/wire-news/340696876/algorithm-devised-by-hse-university-and-yandex-helped-to-catch-n.html
2025 Breakthrough Prize in Fundamental Physics (LHCb collaboration)https://breakthroughprize.org/Laureates/1/L3995
arogozhnikov/infiniteboosthttps://github.com/arogozhnikov/infiniteboost
183 https://github.com/arogozhnikov/infiniteboost/stargazers
22 https://github.com/arogozhnikov/infiniteboost/forks
arogozhnikov/hep_mlhttps://github.com/arogozhnikov/hep_ml
196 https://github.com/arogozhnikov/hep_ml/stargazers
68 https://github.com/arogozhnikov/hep_ml/forks
apple/dmel-demohttps://github.com/apple/dmel-demo
16 https://github.com/apple/dmel-demo/stargazers
3 https://github.com/apple/dmel-demo/forks
apple/ml-pfl4asrhttps://github.com/apple/ml-pfl4asr
16 https://github.com/apple/ml-pfl4asr/stargazers
flashlight/flashlighthttps://github.com/flashlight/flashlight
5.4k https://github.com/flashlight/flashlight/stargazers
503 https://github.com/flashlight/flashlight/forks
ml-explore/mlx-datahttps://github.com/ml-explore/mlx-data
455 https://github.com/ml-explore/mlx-data/stargazers
52 https://github.com/ml-explore/mlx-data/forks
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