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About
Hi, I’m Pratham, an M.S. student in Computer Science at UC San Diego. I work in the Spatiotemporal ML Lab and am advised by Prof. Rose Yu.
Research
My research interests include multimodal learning, time series modeling, and interpretability in multimodal models. I am especially interested in how models can align and reason across text, vision, and numeric time series data.
Recently, I have worked on multimodal time series benchmarks, contrastive alignment across time series, vision, and language, and machine learning for biomechanical sensor data. I am currently exploring how time series data can be used as supervision to improve physical reasoning in multimodal models.
Publications and Preprints
Time Series, Vision, and Language: Exploring the Limits of Alignment in Contrastive Representation Spaces
Pratham Yashwante, Rose Yu.
2026. Under review.
arXiv
How Do Inpainting Artifacts Propagate to Language?
Pratham Yashwante, Davit Abrahamyan, Shresth Grover, Sukruth Rao.
2026. Under review.
arXiv
CaTS-Bench: Can Language Models Describe Time Series?
Luca Zhou*, Pratham Yashwante*, Marshall Fisher, Alessio Sampieri, Zihao Zhou, Fabio Galasso, Rose Yu.
2026. Under review.
arXiv
A Multi-Sensor, Multi-Movement Study of Motion Tape Strain Data for Low Back Pain Classification
Pratham Yashwante, Sara P. Gombatto, Yasmín Velázquez, Elijah Wyckoff, Aarti Lalwani, Kevin Patrick, Kenneth Loh, Emilia Farcas, Rose Yu.
2026. Under review.
arXiv coming soon.
A Hybrid Deep Learning Model for Automated Cricket Commentary Generation
Pratham Yashwante, Yash Patil, Bhavika Wani, Suvarna Chaure.
IEEE ICCMLA, 2024.
IEEE Xplore
A Hybrid Sentiment and Emotion Analysis Model for Marathi Text Using Horse Herd Optimization, Bidirectional RNN, and Affective Cognitive Computing
Anindita Khade, Pratham Yashwante, Devesh Shetty.
Cognitive Computing and Cyber Physical Systems, 2024.
Springer Nature
Comparative Analysis of Meta-heuristic Feature Selection and Feature Extraction Approaches for Enhanced Chronic Kidney Disease Prediction
Pratham Yashwante, Yash Patil, Karan Nadar, Anindita Khade.
IEEE IATMSI, 2024.
IEEE Xplore
Education
University of California, San Diego
M.S. in Computer Science, Sep 2024 – Jun 2026 (expected)
GPA: 4.0/4.0
University of Mumbai, SIES Graduate School of Technology
B.E. in Computer Engineering, Jan 2021 – Jul 2024
GPA: 9.47/10
Activities
- Reviewer — CHIL 2026, AAAI 2025