54,302 blogs · [ { "id": "01a087ab-9c1a-738d-9d0d-2c9a9e072317", "title": "RL Bite: Monte Carlo Search Tree", "url": "https://n1o.github.io/posts/rl-bite-monte-carlo-search-tree/", "published_at": "2025-04-10T07:00:56+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9a9e2df286", "title": "RL Bite: Monotonic Policy Improvement and Deriving Proximal Policy Optimization (PPO)", "url": "https://n1o.github.io/posts/rl-bite-policy-improvement/", "published_at": "2025-04-01T06:44:11+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9a9f2cb257", "title": "RL Bite: Policy Gradient and Reinforce", "url": "https://n1o.github.io/posts/rl-bite-policy-gradient-and-reinforce/", "published_at": "2025-03-08T12:24:13+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9a9f50b1bd", "title": "RL Bite: Learning the Q Function", "url": "https://n1o.github.io/posts/rl-bite-learning-the-q-function/", "published_at": "2025-03-03T07:59:26+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9a9f8401b6", "title": "TLDR; Graph Contrastive Learning: Representation Scattering", "url": "https://n1o.github.io/posts/tldr-graph-contrastive-repr-representation-shattering/", "published_at": "2025-02-23T12:04:42+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aa029d536", "title": "RL Bite: Computing the Value Function", "url": "https://n1o.github.io/posts/rl-bite-computing-value-functions/", "published_at": "2025-02-18T05:20:35+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aa0315c16", "title": "TLDR; HC-GAE The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning", "url": "https://n1o.github.io/posts/tldr-hc-gae/", "published_at": "2025-02-16T13:48:13+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aa0ce558f", "title": "RL Bite: Bellmans Equations and Value Functions", "url": "https://n1o.github.io/posts/rl-bite-bellmans-equations-and-value-functions/", "published_at": "2025-02-12T06:00:52+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aa124e5eb", "title": "TLDR; Duplex: Dual GAT for Complex Embeddings of Directed Graphs", "url": "https://n1o.github.io/posts/tldr-duplex/", "published_at": "2025-02-10T08:22:15+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aa19d60ba", "title": "RL Bite: Exploitation vs Exploration", "url": "https://n1o.github.io/posts/rl-bite-exploration-vs-exploitation/", "published_at": "2025-02-05T08:51:24+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aa23ed215", "title": "Graph Neural Networks meet Large Language Models", "url": "https://n1o.github.io/posts/graph-neural-networks-meet-large-language-models/", "published_at": "2024-12-16T08:17:05+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aa25d9d04", "title": "Hymba, a new breed of SSM-Attention Hybrids", "url": "https://n1o.github.io/posts/hymba-new-ssm-att-hybrid-breed/", "published_at": "2024-12-02T06:00:00+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aa2e5e153", "title": "Transform any LLMs to a powerful Encoder", "url": "https://n1o.github.io/posts/from-llms-to-sentence-embeddings/", "published_at": "2024-11-25T08:00:33+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aa3208973", "title": "2025 Year of Zig", "url": "https://n1o.github.io/posts/2025-yearl-of-zig/", "published_at": "2024-11-20T07:31:40+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aa4159b57", "title": "Distilling State Space Models from Transformers", "url": "https://n1o.github.io/posts/distilling-ssm-from-transformers/", "published_at": "2024-10-28T09:12:27+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aa4a307e5", "title": "Illusion of State in SSMs like Mamba", "url": "https://n1o.github.io/posts/ssm-the-illusion/", "published_at": "2024-10-14T08:52:09+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aa580a4e6", "title": "Mamba(2) and Transformer Hybrids: An Overview", "url": "https://n1o.github.io/posts/ssm-transformer-hybrids-guide/", "published_at": "2024-09-18T09:26:25+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aa60f07be", "title": "Awesome SSM", "url": "https://n1o.github.io/awesome-ssm/", "published_at": "2024-09-05T09:39:29+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aa6844b22", "title": "Hydra a Double Headed Mamba", "url": "https://n1o.github.io/posts/hydra-a-double-headed-mamba/", "published_at": "2024-08-29T09:53:51+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aa710f1d3", "title": "From Mamba to Mamba-2", "url": "https://n1o.github.io/posts/from-mamba-to-mamba2/", "published_at": "2024-08-08T07:57:32+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aa7447585", "title": "Butterflies, Monarchs, Hyenas, and Lightning Fast BERT", "url": "https://n1o.github.io/posts/butterflies-monarchs-hyenas-and-lightning-fast-bert/", "published_at": "2024-07-12T11:36:49+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aa7ef126d", "title": "BinT5 and HexT5 or T5 and Binary Reverse Engineering", "url": "https://n1o.github.io/posts/t5-and-reverse-engineering/", "published_at": "2024-06-12T12:07:17+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aa830bad0", "title": "CodeT5 and CodeT5+", "url": "https://n1o.github.io/posts/code-t5-plus/", "published_at": "2024-06-01T06:46:43+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aa89f024d", "title": "Awesome T5", "url": "https://n1o.github.io/awesome-t5/", "published_at": "2024-05-06T15:31:29+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aa97e9ab8", "title": "Longer Context for T5", "url": "https://n1o.github.io/posts/longer-context-for-t5/", "published_at": "2024-04-29T12:10:36+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aaa22dfb9", "title": "T5 the Old New Thing", "url": "https://n1o.github.io/posts/t5-the-old-new-thing/", "published_at": "2024-03-06T11:58:32+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aaab3c26a", "title": "Nixos for Hobby Project", "url": "https://n1o.github.io/posts/nixos-for-hobby-project/", "published_at": "2023-09-13T11:09:10+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aab0cc9a4", "title": "Paper overview: Hungry Hungry Hippos: Towards Language Modeling with State Space Models", "url": "https://n1o.github.io/posts/hungry-hungry-hippos/", "published_at": "2023-02-06T08:39:03+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aabe9485a", "title": "Paper overview: Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations", "url": "https://n1o.github.io/posts/continuous-time-modeling-of-counterfatual-outcomes/", "published_at": "2023-01-16T16:37:36+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aaca53c95", "title": "Hierarchical Probabilistic Matrix Factorization", "url": "https://n1o.github.io/posts/pooled_matrix_factorization/", "published_at": "2020-12-17T09:19:42+00:00" }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aad2a2307", "title": "Artificial Intelligence and Machine Learning Research", "url": "https://n1o.github.io/about/", "published_at": null }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aad907bc5", "title": "Artificial Intelligence and Machine Learning Research", "url": "https://n1o.github.io/contact/", "published_at": null }, { "id": "01a087ab-9c1a-738d-9d0d-2c9aae529da1", "title": "Artificial Intelligence and Machine Learning Research", "url": "https://n1o.github.io/projects/", "published_at": null } ] posts Claim your blog
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