Seminars, colloquiums and lectures
Z. Goldfeld,
“Scaling Wasserstein Distances to High Dimensions via Smoothing”.
Given as seminar during February 2021 at:
1) Information Theory Forum, EE Department, Stanford University, Stanford, California, US [Video].
2) CS Theory Seminar, CS Department, Columbia University, New York, New York, US.
3) ECE Colloquium, University of Iowa, Iowa City, Iowa, US.
4) Applied Math Seminar, Beijing International Center for Mathematical Research, Peking University, Beijing, China.
5) Math Machine Learning Seminar, Max Planck Institute and UCLA, Los Angeles, California, NY [Video].
Z. Goldfeld,
“Smoothing Probability Distributions for High Dimensional Learning and Inference”.
CS Brown Bag Seminar, Department of Computer Science, Cornell University, Ithaca, New York, US, December 2020.
Z. Goldfeld,
“Smooth Wasserstein distance: metric structure and statistical efficiency”.
CS Theory Seminar, Department of Computer Science, Cornell University, Ithaca, New York, US, April 2020.
Z. Goldfeld,
“Gaussiansmoothed optimal transport: metric structure and statistical efficiency”.
Colloquium, Center of Applied Mathematics (CAM), Cornell University, Ithaca, New York, US, November 2019. [Video]
Z. Goldfeld,
“Estimating the flow of information in deep neural networks”.
Given as seminar during March 2019 at:
1) EE Department, Columbia University, New York, New York, US.
2) ECE Department, University of WisconsinMadison, Madison, Wisconsin, US.
3) ECE Department, Cornell University, Ithaca, New York, US.
Z. Goldfeld,
“Estimating the information flow in deep neural networks”.
Given as seminar during December 2018 at:
1) EECS Department, Hebrew University of Jerusalem, Jerusalem, Israel.
2) EE Department, The Technion, Haifa, Israel.
3) EE Systems Department, Tel Aviv University, Tel Aviv, Israel.
4) ECE Department, Ben Gurion University, Beer Sheva, Israel.
Z. Goldfeld,
“Informationtheoretic security”.
Guest lecture in EE 25N course  Science of Information, EE Department, Stanford University, Stanford, California, US, November 2018. [Video]
Z. Goldfeld,
“Estimating the information flow in deep neural networks”. (Extended)
Information Theory Forum, EE Department, Stanford University, Stanford, California, US, November 2018. [Video]
Z. Goldfeld,
“Semantic security versus active adversariesand wiretap channels with random states”.
Given as seminar at:
1) BLISS Seminar, EECS Department, UC Berkeley, Berkeley, California, US, February 2017.
2) Information Theory Forum, EE Department, Stanford University, Stanford, California, US, February 2017.
3) LIDS Seminar, EECS Department, MIT, Cambridge, Massachusetts, US, December 2016.
Z. Goldfeld,
“Semantic security in the presence of active adversaries” (Extended).
Given as EE department seminar at:
1) The Technion, Haifa, Israel, June 2016.
2) New Jersey Institute of Technology (NJIT), Newark, NewJersey, US, March 2016.
3) Princeton University, Princeton, NewJersey, US, March 2016.
Z. Goldfeld,
“Semantic security in the presence of active adversaries”.
2016 Advanced Communications Center Annual Workshop  Feder Awardee Talk (ACC2016), TelAviv, Israel, February 2016.
Z. Goldfeld,
“Semantic security in the presence of active adversaries”.
2016 Advanced Communications Center Annual Workshop  Feder Awardee Talk (ACC2016), TelAviv, Israel, February 2016.
Z. Goldfeld, H. H. Permuter and G. Kramer,
“The semideterministic BC with cooperation and a dual source coding problem”.
ECE department seminar, Technical University of Munich (TUM), Munich, Germany, June 2014.
Conferences
Z. Goldfeld,
“Information storage in interacting particle systems”.
2020 Beyond IID in Information Thoery Conference (BIID2020), Online, November 2020. [Video]
Z. Goldfeld,
“Smooth Wasserstein distance: metric structure and statistical efficiency”.
2020 Workshop on Coding, Cooperation, and Security in Modern Communication Networks (COCO2020), Online, July 2020. [Video]
Z. Goldfeld and K. Greenewald (Speaker),
“Gaussiansmoothed optimal transport: metric structure and statistical efficiency”.
2020 International Conference on Artificial Intelligence and Statistics (AISTATS2020), Online, June 2020. [Video]
Z. Goldfeld and K. Kato,
“Limit distribution for smooth total variation and ğ›˜Â²divergence in high dimensions”.
2020 IEEE International Symposium on Information Theory (ISIT2020), Online, June 2020. [Video]
Z. Goldfeld,
“Smooth Wasserstein distance: metric structure and statistical efficiency”.
2020 International Zurich Seminar on Communications (IZS2020), Zurich, Switzerland, February 2020.
Invited
Z. Goldfeld,
“Smooth Wasserstein distance: metric structure and statistical efficiency”.
2020 Information Theory and Applications Workshop (ITA2020), San Diego, California, US, February 2020.
Invited
Z. Goldfeld, G. Bresler (Speaker) and Y. Polyanskiy,
“Information storage in the stochastic Ising model at low temperature”.
2019 IEEE International Symposium on Information Theory (ISIT2019), Paris, France, July 2019.
Z. Goldfeld, K. Greenewald, J. Weed and Y. Polyanskiy (Speaker),
“Optimality of the plugin estimator for differential entropy estimation under Gaussian convolutions”.
2019 IEEE International Symposium on Information Theory (ISIT2019), Paris, France, July 2019.
Z. Goldfeld, E. van den Berg, K. Greenewald, I. Melnyk, N. Nguyen, B. Kingsbury and Y. Polyanskiy,
“Estimating information flow in deep neural networks”.
2019 International Conference on Machine Learning (ICML2019), Long Beach, California, US, June 2019. [Video (Start: 34th min)]
Z. Goldfeld,
“Differential entropy estimation under Gaussian convolutions”.
2019 Information Theory and Applications Workshop (ITA2019), San Diego, California, US, February 2019.
Invited
Z. Goldfeld, E. van den Berg, K. Greenewald, I. Melnyk. N. Nguyen, B. Kingsbury and Y. Polyanskiy,
“Estimating information flow in deep neural networks”.
56th Annual Allerton Conference on Communication, Control, and Computing, Allerton, Illinois, US, October 2018.
Invited
Z. Goldfeld, G. Bresler and Y. Polyanskiy,
“Information storage in the stochastic Ising model at zero temperature”.
2018 IEEE International Symposium on Information Theory (ISIT2018), Vail, Colorado, US, June 2018.
Z. Goldfeld and H. H. Permuter,
“A useful analogy between wiretap and GelfandPinsker channels”.
2018 IEEE International Symposium on Information Theory (ISIT2018), Vail, Colorado, US, June 2018.
Z. Goldfeld and H. H. Permuter,
“Wiretap and GelfandPinsker channels analogy and its applications”.
2018 International Zurich Seminar on Communications (IZS2018), Zurich, Switzerland, March 2018.
Z. Goldfeld, P. Cuff and H. H. Permuter,
“Physical layer security over wiretap channels with random parameters”.
2017 International Symposium on Cyber Security Cryptography and Machine Learning (CSCML2017), BeerSheva, Israel, June 2017.
Z. Goldfeld, P. Cuff and H. H. Permuter,
“The GelfandPinsker wiretap channel: strictly higher secrecy rates via a novel superposition code”.
2017 IEEE International Symposium on Information Theory (ISIT2017), Aachen, Germany, June 2017.
Z. Goldfeld,
“Semantic security versus active adversaries and the GelfandPinsker wiretap channel”.
Graduation Day presentation at the 2017 Information Theory and Applications Workshop (ITA2017), San Diego, California, US, February 2017.
Invited
Z. Goldfeld, P. Cuff and H. H. Permuter,
“Arbitrarily varying wiretap channels with type constrained states”.
2016 IEEE GLOBECOM Workshop on Physical Layer Security, Washington DC, Washingtion, US, December 2016.
Z. Goldfeld, P. Cuff and H. H. Permuter,
“Wiretap channels with random states noncausally available at the encoder”.
2016 International Conference on the Science of Electrical Engineering (ICSEE2016), Eilat, Israel, November 2016.
Z. Goldfeld,
“MIMO Gaussian broadcast channels with common, private and confidential messages”.
2016 IEEE Information Theory Workshop, Cambridge, UK, October 2016.
Z. Goldfeld, P. Cuff and H. H. Permuter,
“Semanticsecurity capacity for wiretap channels of type II”.
2016 IEEE International Symposium on Information Theory, Barcelona, Spain, July 2016.
Z. Goldfeld, G. Kramer, H. H. Permuter and P. Cuff,
“Strongsecrecy for cooperative broadcast channels”.
2016 International Zurich Seminar on Communications, Zurich, Switzerland, March 2016.
Z. Goldfeld, H. H. Permuter and G. Kramer,
“Cooperative broadcast channels with a secret message”.
2015 IEEE International Symposium on Information Theory, HongKong, June 2015.
Z. Goldfeld, H. H. Permuter and G. Kramer,
“Broadcast channels with cooperation: capacity and duality for the semideterministic case”.
2015 IEEE Information Theory Workshop, Jerusalem, Israel, AprilMay 2015.
Z. Goldfeld, H. H. Permuter and G. Kramer,
“Semideterministic broadcast channels with cooperation”.
28th IEEE Convention of Electrical and Electronics Engineers in Israel, Eilat, Israel, December 2014.
Z. Goldfeld, H. H. Permuter and G. Kramer,
“The AhlswedeKörner coordination problem with onesided encoder cooperation”.
2014 IEEE International Symposium on Information Theory, Ohao, Hawaii, US, JuneJuly 2014.
Z. Goldfeld, H. H. Permuter and B. M. Zaidel,
“The diagonal vector Gaussian finite state MAC with cooperative encoders and delayed CSI”.
27th IEEE Convention of Electrical and Electronics Engineers in Israel, Eilat, Israel, November 2012.
Z. Goldfeld, H. H. Permuter and B. M. Zaidel,
“Capacity region of finite state MAC with cooperative encoders and delayed CSI”.
2012 IEEE International Symposium on Information Theory, Boston, Massachusetts, US, July 2012.
