A quick sneak peek into our approach and results:
10.12.2024 13:35 β π 2 π 0 π¬ 0 π 0
Welcome to the other side!!
09.12.2024 22:11 β π 3 π 0 π¬ 1 π 0
πΉTowards Eliminating Free-Riding in #Federated Learning via Truthful Mechanism Design (FACT)
arxiv.org/pdf/2405.13879
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No #Free #Riding
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Towards Guaranteed #Truthfulness
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Individually Rational
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Realistic Implementation
08.12.2024 14:47 β π 3 π 0 π¬ 0 π 0
πΉ A Principled Framework for Inference-Time Alignment of #LLMs
arxiv.org/abs/2405.20495
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No expensive #finetuning
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On-the-fly behavior adaptation
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Preserves #privacy of human preferences
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Potential to solve the #diversity alignment problem
08.12.2024 14:47 β π 3 π 0 π¬ 1 π 0
Excited to be in Vancouver for #NeurIPS2024!
Letβs connect and discuss:
π€ Alignment of #LLMs, #RLHF
βοΈ Inference-Time Alignment
π¦Ύ LLMs for Robotics
π Foundations of Generative AI
π΅οΈββοΈ AI-Generated Content Detection & Hallucinations
π€ Multi-LLM Systems & Agentic AI
Our works π
08.12.2024 14:47 β π 4 π 0 π¬ 1 π 0
This seems to be a good solution.
24.11.2024 13:49 β π 1 π 0 π¬ 0 π 0
Assistant Prof, CS@Mines
Aerial and multiple robots; autonomous filming, mapping, perception
Enjoys: π§ββοΈπ΄ββοΈπΈπΆπ€
Ursula Le Guin stan. Call me on my ansible.
He/him pronouns πππ
Opinions my own.
https://www.micahcorah.com/
PhD student @Yale β’ Applied Scientist @AWS AI β’ Automated Reasoning β’ Neuro-Symbolic AI β’ Alignment β’ Security & Privacy β’ Views my own β’ https://ferhat.ai
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
π€ LLM whisperer @huggingface
π Co-author of "NLP with Transformers" book
π₯ Ex-particle physicist
π€ Occasional guitarist
π¦πΊ in π¨π
Assistant Professor, Electrical & Computer Engineering, University of Waterloo | Control, Learning & Logic Group | PhD @ UPenn | Postdoc @ UC Berkeley | Decision-making for autonomous systems | Control Theory | Optimization | Machine Learning.
AuDHD Solarpunk AI Researcher/reluctant entrepreneur hellbent on seeing technology uplift everyone, especially the working class. Special interests: social/political/climate/economic justice, science (πβοΈπ¦π§±π¦
π§ ππ§¬ππ¦ ), and fantasy/scifi media.
Data Scientist & AI Expert | Growing a 6+ Figure Business | Entrepreneur π₯
Assistant Professor and Director of Critical ML@ WaterlooENG | Postdoc @ CS USCViterbi | PhD @ UMN | Representation Learning | AI for Manufacturing & Ops | AI for Health | Theory-guided ML for the Real-World |Views Personal |
https://sirisharambhatla.com/
Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs.
https://willieneis.github.io
Associate Professor in Machine Learning at the University of Oxford.
Interested in automatic inductive bias selection using Bayesian tools.
Assistant Professor of Computer Graphics and Geometry Processing at Columbia University www.silviasellan.com
Professing computing and applied math at Cornell. Numerical methods for data science, plasma physics, other stuff depending on the day. Director, Cornell Center for Applied Mathematics; Director, Simons Collaboration on Hidden Symmetries and Fusion Energy.
Trying to make all the AIs more efficient. Former Gaussian process connoisseur. Researcher at Microsoft Research.
PhD student UCL / UKAEA | Probabilistic ML | Safe control | Nuclear fusion
Bayesian statistics, Gaussian processes, and all things ML. Senior Applied Scientist at Amazon and developer of GPJax.
Postdoctoral Research Scientist in Statistics at Columbia University
Probabilistic numerics, differentiable linear algebra, and a healthy dose of figure-making.
https://pnkraemer.github.io/
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
Associate Professor in Machine Learning, Aalto University. ELLIS Scholar.
http://arno.solin.fi
Research Fellow @NUS πΈπ¬ | Machine Learning | Generative Models | Bayesian Inference
π https://zhidi-lin.github.io/