Hava T Siegelmann

Full Professor, University of Massachusetts at Amherst

Joined

May 2023

Names

Hava T Siegelmann (Preferred)

Hava Siegelmann

Emails

****@umass.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Career & Education History

Full Professor

University of Massachusetts at Amherst (umass.edu)

2012 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Exponential Dynamic Energy Network for High Capacity Sequence Memory
Arjun Karuvally, Pichsinee Lertsaroj, Terrence Sejnowski, Hava T Siegelmann
- NeurIPS 2025 poster
- Readers: Everyone
Bridging Expressivity and Scalability with Adaptive Unitary SSMs
Arjun Karuvally, Franz Nowak, T. Anderson Keller, Carmen Amo Alonso, Terrence Sejnowski, Hava T Siegelmann
- NeurIPS 2025 poster
- Readers: Everyone
Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control
Devdhar Patel, Hava T Siegelmann
- ICLR 2025 Poster
- Readers: Everyone
Optimizing Neural Network Representations of Boolean Networks
Joshua Russell, Ignacio Gavier, Devdhar Patel, Edward Rietman, Hava T Siegelmann
- ICLR 2025 Poster
- Readers: Everyone
Distributed Multi-Agent Lifelong Learning
Prithviraj Tarale, Edward Rietman, Hava T Siegelmann
- Accepted by TMLR
- Readers: Everyone
Achieving Precise Control with Slow Hardware: Model-Based Reinforcement Learning for Action Sequence Learning
Devdhar Patel, Hava T Siegelmann
- Submitted to NeurIPS 2024
- Readers: Everyone
A collective AI via lifelong learning and sharing at the edge
Andrea Soltoggio, Eseoghene Ben-Iwhiwhu, Vladimir Braverman, ERIC EATON, Benjamin Epstein, Yunhao Ge, Lucy Halperin, JONATHAN P HOW, Laurent Itti, Michael A. Jacobs, Pavan Kantharaju, Long Le, Xinran Liu, Sildomar Monteiro, David Musliner, Saptarshi Nath, Priyadarshini Panda, Christos Peridis, Hamed Pirsiavash, Vishwa Sanjay Parekh et al. (8 additional authors not shown)
- Nature Machine Intelligence
- Readers: Everyone
Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks
Arjun Karuvally, Terrence Sejnowski, Hava T Siegelmann
- ICML 2024 Poster
- Readers: Everyone
Variable Memory: Beyond the Fixed Memory Assumption in Memory Modeling
Arjun Karuvally, Hava T Siegelmann
- AMHN23 Poster
- Readers: Everyone
On the Dynamics of Learning Time-Aware Behavior with RNNs
Peter DelMastro, Rushiv Arora, Edward Rietman, Hava T Siegelmann
- Submitted to ICLR 2024
- Readers: Everyone

View all 13 publications

Co-Authors

View all 40 co-authors