Name: Towards AI Legal Name: Towards AI, Inc. Description: Towards AI is the world's leading artificial intelligence (AI) and technology publication. Read by thought-leaders and decision-makers around the world. Phone Number: +1-650-246-9381 Email: pub@towardsai.net
228 Park Avenue South New York, NY 10003 United States
Website: Publisher: https://towardsai.net/#publisher Diversity Policy: https://towardsai.net/about Ethics Policy: https://towardsai.net/about Masthead: https://towardsai.net/about
Name: Towards AI Legal Name: Towards AI, Inc. Description: Towards AI is the world's leading artificial intelligence (AI) and technology publication. Founders: Roberto Iriondo, , Job Title: Co-founder and Advisor Works for: Towards AI, Inc. Follow Roberto: X, LinkedIn, GitHub, Google Scholar, Towards AI Profile, Medium, ML@CMU, FreeCodeCamp, Crunchbase, Bloomberg, Roberto Iriondo, Generative AI Lab, Generative AI Lab VeloxTrend Ultrarix Capital Partners Denis Piffaretti, Job Title: Co-founder Works for: Towards AI, Inc. Louie Peters, Job Title: Co-founder Works for: Towards AI, Inc. Louis-François Bouchard, Job Title: Co-founder Works for: Towards AI, Inc. Cover:
Towards AI Cover
Logo:
Towards AI Logo
Areas Served: Worldwide Alternate Name: Towards AI, Inc. Alternate Name: Towards AI Co. Alternate Name: towards ai Alternate Name: towardsai Alternate Name: towards.ai Alternate Name: tai Alternate Name: toward ai Alternate Name: toward.ai Alternate Name: Towards AI, Inc. Alternate Name: towardsai.net Alternate Name: pub.towardsai.net
5 stars – based on 497 reviews

Frequently Used, Contextual References

TODO: Remember to copy unique IDs whenever it needs used. i.e., URL: 304b2e42315e

Resources

Our 15 AI experts built the most comprehensive, practical, 90+ lesson courses to master AI Engineering - we have pathways for any experience at Towards AI Academy. Cohorts still open - use COHORT10 for 10% off.

Publication

Event-Driven Prediction: Expanding Mamba State Space Models for Conditional Forecasting
Latest   Machine Learning

Event-Driven Prediction: Expanding Mamba State Space Models for Conditional Forecasting

Author(s): Shenggang Li

Originally published on Towards AI.

A Novel Approach Combining Markov Decision Theory and Neural State Space Models for Stock Price PredictionEvent-Driven Prediction: Expanding Mamba State Space Models for Conditional Forecasting

This member-only story is on us. Upgrade to access all of Medium.

Photo by Ella Jardim on Unsplash

Imagine you’re trying to predict stock prices, but instead of just guessing whether the price will go up or down tomorrow, you’re asking a smarter question: What happens if tomorrow’s price crosses a certain threshold? For instance, if a stock price drops below a key support level, what’s likely to happen in the following days? This kind of conditional forecasting is not only more insightful but also mirrors real-world decisions made in financial markets.

The problem is that traditional time series models aren’t built for these “what if” scenarios. That’s where Markov Decision Theory meets neural state space models like Mamba to create something new. By extending the classic state space framework, we can bake future conditions — like “tomorrow’s price event” — directly into the prediction process. Think of it as giving the model a crystal ball, allowing it to consider not just the past but also what might happen next.

In this new approach, we explore how adding event-driven dynamics to Mamba state space models unlocks exciting possibilities for forecasting. We connect these ideas to Markov Decision Processes (MDPs) to show why they’re so… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI


Take our 90+ lesson From Beginner to Advanced LLM Developer Certification: From choosing a project to deploying a working product this is the most comprehensive and practical LLM course out there!

Towards AI has published Building LLMs for Production—our 470+ page guide to mastering LLMs with practical projects and expert insights!


Discover Your Dream AI Career at Towards AI Jobs

Towards AI has built a jobs board tailored specifically to Machine Learning and Data Science Jobs and Skills. Our software searches for live AI jobs each hour, labels and categorises them and makes them easily searchable. Explore over 40,000 live jobs today with Towards AI Jobs!

Note: Content contains the views of the contributing authors and not Towards AI.